200 AI Architect jobs in Saudi Arabia
AI Architect
Posted today
Job Viewed
Job Description
Greetings,
We have an immediate vacancy for an
Agentic AI Architect with Camel AI experience professional
with 13+ years of experience at Synechron.
Job Role:
Agentic AI Architect with Camel AI experience
Job Location:
Riyadh, Saudi Arabia
Note: We are looking for local candidates from Europe, the USA, Canada, Ukraine, South America, Russia, China, and South Korea.
About Company:
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,700+, and has 58 offices in 21 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.
Diversity, Equity, and Inclusion
Synechron's Diversity, Equity, and Inclusion (DEI) program, Same Difference, was developed because we believe in a culture of listening, respect, and opportunity.
We each bring unique backgrounds, thoughts, talents, and experiences with us to work every day, and we know that by embracing them, we are creating an even greater Synechron. The best way to build a strong team is to value individual differences. So, it doesn't matter where you're from or what you've had to do to get here – if you have the skills, enthusiasm, and drive to make your mark, we'll support you like we support each other. Choose a career with us and let's pursue innovation, together.
Job Descriptions:
Architect and implement agentic AI systems using frameworks like LangChain, CrewAI, LangGraph, or LlamaIndex
- Integrate Camel AI for intelligent message routing, event-driven orchestration, and agent communication
- Design modular, cloud-native architectures (preferably on AWS or Azure) using microservices and containerization (Docker, Kubernetes)
- Enable multi-agent collaboration through protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication
- Lead backend orchestration using Python, , or Java (Camel DSL)
- Collaborate with frontend teams to ensure seamless integration via REST/gRPC APIs
- Optimize system performance, scalability, and maintainability
- Mentor engineering teams and define best practices for agentic workflows
Required Skills
- Deep understanding of agentic AI principles: autonomous reasoning, memory management, tool use, and multi-step planning
- Hands-on experience with Camel AI or Apache Camel for routing, mediation, and integration
- Proficiency in LLM orchestration tools (LangChain, AutoGen, MetaGPT, etc.)
- Strong grasp of event-driven architecture and containerized deployments (ECS/EKS)
- Experience with secure API design, RBAC, OAuth, and identity management
- Familiarity with frontend-backend integration in SaaS environments (React, , )
Preferred Qualifications
- Exposure to Retrieval-Augmented Generation (RAG) and multimodal AI systems
- Experience with plugin/tool execution pipelines (e.g., ReAct pattern)
- Knowledge of vector stores, episodic memory, and context-aware agent design
- Prior work in enterprise-grade AI platforms or intelligent task management systems
Agentic AI Architect
Posted today
Job Viewed
Job Description
Architect and implement agentic AI systems using frameworks like LangChain, CrewAI, LangGraph, or LlamaIndex
- Integrate Camel AI for intelligent message routing, event-driven orchestration, and agent communication
- Design modular, cloud-native architectures (preferably on AWS or Azure) using microservices and containerization (Docker, Kubernetes)
- Enable multi-agent collaboration through protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication
- Lead backend orchestration using Python, , or Java (Camel DSL)
- Collaborate with frontend teams to ensure seamless integration via REST/gRPC APIs
- Optimize system performance, scalability, and maintainability
- Mentor engineering teams and define best practices for agentic workflows
Required Skills
- Deep understanding of agentic AI principles: autonomous reasoning, memory management, tool use, and multi-step planning
- Hands-on experience with Camel AI or Apache Camel for routing, mediation, and integration
- Proficiency in LLM orchestration tools (LangChain, AutoGen, MetaGPT, etc.)
- Strong grasp of event-driven architecture and containerized deployments (ECS/EKS)
- Experience with secure API design, RBAC, OAuth, and identity management
- Familiarity with frontend-backend integration in SaaS environments (React, , )
Preferred Qualifications
- Exposure to Retrieval-Augmented Generation (RAG) and multimodal AI systems
- Experience with plugin/tool execution pipelines (e.g., ReAct pattern)
- Knowledge of vector stores, episodic memory, and context-aware agent design
- Prior work in enterprise-grade AI platforms or intelligent task management systems
Agentic AI Architect
Posted today
Job Viewed
Job Description
Location: Riyadh, KSA
Nationality : Foreign
About the Role:
Were looking for a seasoned AI Architect to lead the design and implementation of agentic AI systems that push the boundaries of autonomous reasoning, multi-agent collaboration, and intelligent orchestration. You'll work with cutting-edge frameworks, cloud-native architectures, and enterprise-grade AI platforms to deliver scalable, secure, and high-performance solutions.
Key Responsibilities
Architect and implement agentic AI systems using frameworks like LangChain, CrewAI, LangGraph, LlamaIndex
Integrate Camel AI for intelligent message routing, event-driven orchestration, and agent communication
Design modular, cloud-native architectures (AWS/Azure) with microservices & containerization (Docker, Kubernetes)
Enable multi-agent collaboration via MCP (Model Context Protocol) & A2A (Agent-to-Agent) communication
Lead backend orchestration using Python, , or Java (Camel DSL)
Collaborate with frontend teams forseamless REST/gRPC API integration
Optimize system performance, scalability, and maintainability
Mentor engineering teams & define best practices for agentic workflows
Required Skills:
Deep understanding of agentic AI principles: autonomous reasoning, memory management, tool use, multi-step planning
Hands-on experience with Camel AI or Apache Camel for routing, mediation, and integration
Proficiency in LLM orchestration tools (LangChain, AutoGen, MetaGPT, etc.)
Strong grasp of event-driven architecture & containerized deployments (ECS/EKS)
Experience with secure API design, RBAC, OAuth, and identity management
Familiarity with frontend-backend integration in SaaS environments (React, , )
Preferred Qualifications:
Exposure to Retrieval-Augmented Generation (RAG) & multimodal AI systems
Experience with plugin/tool execution pipelines (e.g., ReAct pattern)
Knowledge of vector stores, episodic memory, and context-aware agent design
Prior work in enterprise-grade AI platforms or intelligent task management systems
Role & responsibilities
Preferred candidate profile
Customer Success Manager : Data and Ai Architect
Posted today
Job Viewed
Job Description
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
**Your Role and Responsibilities**
To be successful in this role you:
- Demonstrate a history of success as a consultant, pre-sales, technical account management, enterprise architect, or equivalent
- Deeply understand customer business and technology needs; become the face of IBM to the customer
- Serve as a trusted technical expert for the customer’s cloud migration, deployment, and adoption of Hybrid Cloud & AI Growth Offerings
- Have a proven track record of leading technical conversations and persuading others to take action based on requirements and value provided by solutions
- Have handled difficult customers or situations and can demonstrate resolutions
- Willingness to take initiative and tackle things on your own
- Ability to navigate data and people to find answers
- Execute customer success plan to drive adoption post-deploymen
IBMReferred_MiddleEastAfrica
CSMEMEA_22
**Required Technical and Professional Expertise**
- Technical understanding and hands-on experience with Containers, OpenShift, Value Prop, Use Cases, Competitive Differentiation
- Technical understanding of IBM Middleware / Software / Cloud Services
- Experience with enterprise software implementations
- Ability to show customers how to “use” the offerings to get to first productive use and proactive expansion
- Can build a growth plan to demonstrate how Growth Offerings will deliver customer outcomes
- Analytical mindset and problem-solving skills
- Strong interpersonal relationship building and executive communications skills
- Can manage multiple customer accounts and projects simultaneously
**Preferred Technical and Professional Expertise**
- 5 years of experience in Customer Success, Professional Services and/or Services Industries, Technical Sales (e.g., technology or management consulting)
- Experience working with OpenShift and Hybrid Cloud & AI Growth Offerings
- Experience working in B2B Enterprise Software, SaaS / IaaS / PaaS and/or Cloud
**About Business Unit**
IBM has a global presence, operating in more than 175 countries with a broad-based geographic distribution of revenue. The company’s Global Markets organization is a strategic sales business unit that manages IBM’s global footprint, working closely with dedicated country-based operating units to serve clients locally. These country teams have client relationship managers who lead integrated teams of consultants, solution specialists and delivery professionals to enable clients’ growth and innovation. By complementing local expertise with global experience and digital capabilities, IBM builds deep and broad-based client relationships. This local management focus fosters speed in supporting clients, addressing new markets and making investments in emerging opportunities. Additionally, the Global Markets organization serves clients with expertise in their industry as well as through the products and services that IBM and partners supply. IBM is also expanding its reach to new and existing clients through digital marketplaces.
Are you craving to learn more? Prepared to solve some of the world's most unique challenges? And ready to shape the future for millions of people? If so, then it's time to join us, express your individuality, unleash your curiosity and discover new possibilities.
Every IBMer, and potential ones like yourself, has a voice, carves their own path, and uses their expertise to help co-create and add to our story. Together, we have the power to make meaningful change - to alter the fabric of our clients, of society and IBM itself, to create a truly positive impact and make the world work better for everyone.
It's time to define your career.
**About IBM**
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
**Location Statement**
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other character
AI Agent Architect
Posted 24 days ago
Job Viewed
Job Description
Lucidya is the leading customer experience intelligence platform in the MENA region, helping organizations deeply understand and serve their customers using cutting-edge AI. As we expand our AI capabilities, we are building agentic AI services that can reason, plan, and act autonomously to deliver real business value.
We are looking for an AI Agent Architect to design and lead the architecture of our next-generation AI agent systems.
As an AI Agent Architect, you will own the end-to-end design of agent systems at Lucidya. Your role is to define how agents reason, interact with tools, collaborate as multi-agent systems, manage memory, and operate safely at scale. You will work closely with ML engineers, backend engineers, product managers, and UX designers to turn advances in LLMs and agent frameworks into robust, production-ready systems fully integrated with Lucidya’s platform.
We are seeking someone with a deep understanding of AI technologies who can architect systems that enable intelligent, goal-driven behaviors in our products. Collaboration is key: you will work across teams to align AI solutions with business needs, enhance user experiences, and bring innovative ideas from concept to production.
Key Tasks & Responsibilities- Design and implement the architecture of Lucidya’s AI agents, including reasoning loops, planning, reflection, and multi-agent collaboration.
- Research and apply state-of-the-art methods in machine learning, natural language processing, and reinforcement learning.
- Guide the development of prototypes and proof-of-concept models, experimenting with emerging technologies.
- Collaborate with software engineers and data scientists to integrate AI capabilities seamlessly into Lucidya products.
- Architect scalable and secure agent–tool interactions (e.g., CRM, analytics APIs, external systems).
- Ensure AI solutions align with product goals and deliver measurable business value.
- Design short-term and long-term memory architectures for agents.
- Build retrieval-augmented generation (RAG) pipelines using vector databases (Pinecone, Weaviate, FAISS).
- Conduct evaluations of agent performance and optimize algorithms based on analytics and user feedback.
- Define observability standards for monitoring, debugging, and improving agent behaviors.
- Produce clear design documentation, specifications, and best practices for AI agent development.
- Establish AI governance and safety guardrails, ensuring agents act responsibly and in compliance with regulations.
- Stay current on the latest advancements in LLM, multi-agent, and AI systems research.
- Mentor engineers on agent orchestration and AI architecture best practices.
- Act as the subject matter expert and key driver of agentic AI within Lucidya.
- BA/BS or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 5+ years of experience in AI/ML development with a proven track record in AI system architecture.
- Demonstrated experience designing and deploying LLM-driven or multi-agent AI systems.
- Strong knowledge of AI algorithms, including supervised, unsupervised, and reinforcement learning.
- Proficiency in programming languages such as Python (Java or equivalent a plus).
- Hands-on experience with ML frameworks (TensorFlow, PyTorch).
- Expertise in LLM frameworks (LangChain, LlamaIndex, AutoGen, Semantic Kernel).
- Experience with natural language processing and modern NLP libraries.
- Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Weights & Biases, Docker, Kubernetes).
- Solid grounding in software architecture principles and distributed systems.
- Strong analytical and problem-solving skills with an innovative mindset.
- Excellent communication skills, capable of articulating complex ideas clearly and persuasively.
- Collaborative team player with the ability to lead discussions on AI system design.
This is more than just an engineering role. it’s an opportunity to shape the infrastructure and technical future of Lucidya. You’ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
We offer Employee Stock Option Plans (ESOP) to give you ownership in the company’s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you’ll have the autonomy to lead, innovate, and grow—both personally and professionally.
#J-18808-LjbffrAI Agent Architect
Posted today
Job Viewed
Job Description
Lucidya is the leading customer experience intelligence platform in the MENA region, helping organizations deeply understand and serve their customers using cutting-edge AI. As we expand our AI capabilities, we are building agentic AI services that can reason, plan, and act autonomously to deliver real business value.
We are looking for an AI Agent Architect to design and lead the architecture of our next-generation AI agent systems.
As an AI Agent Architect, you will own the end-to-end design of agent systems at Lucidya. Your role is to define how agents reason, interact with tools, collaborate as multi-agent systems, manage memory, and operate safely at scale. You will work closely with ML engineers, backend engineers, product managers, and UX designers to turn advances in LLMs and agent frameworks into robust, production-ready systems fully integrated with Lucidya’s platform.
We are seeking someone with a deep understanding of AI technologies who can architect systems that enable intelligent, goal-driven behaviors in our products. Collaboration is key: you will work across teams to align AI solutions with business needs, enhance user experiences, and bring innovative ideas from concept to production.
Key Tasks & Responsibilities- Design and implement the architecture of Lucidya’s AI agents, including reasoning loops, planning, reflection, and multi-agent collaboration.
- Research and apply state-of-the-art methods in machine learning, natural language processing, and reinforcement learning.
- Guide the development of prototypes and proof-of-concept models, experimenting with emerging technologies.
- Collaborate with software engineers and data scientists to integrate AI capabilities seamlessly into Lucidya products.
- Architect scalable and secure agent–tool interactions (e.g., CRM, analytics APIs, external systems).
- Ensure AI solutions align with product goals and deliver measurable business value.
- Design short-term and long-term memory architectures for agents.
- Build retrieval-augmented generation (RAG) pipelines using vector databases (Pinecone, Weaviate, FAISS).
- Conduct evaluations of agent performance and optimize algorithms based on analytics and user feedback.
- Define observability standards for monitoring, debugging, and improving agent behaviors.
- Produce clear design documentation, specifications, and best practices for AI agent development.
- Establish AI governance and safety guardrails, ensuring agents act responsibly and in compliance with regulations.
- Stay current on the latest advancements in LLM, multi-agent, and AI systems research.
- Mentor engineers on agent orchestration and AI architecture best practices.
- Act as the subject matter expert and key driver of agentic AI within Lucidya.
- BA/BS or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 5+ years of experience in AI/ML development with a proven track record in AI system architecture.
- Demonstrated experience designing and deploying LLM-driven or multi-agent AI systems.
- Strong knowledge of AI algorithms, including supervised, unsupervised, and reinforcement learning.
- Proficiency in programming languages such as Python (Java or equivalent a plus).
- Hands-on experience with ML frameworks (TensorFlow, PyTorch).
- Expertise in LLM frameworks (LangChain, LlamaIndex, AutoGen, Semantic Kernel).
- Experience with natural language processing and modern NLP libraries.
- Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Weights & Biases, Docker, Kubernetes).
- Solid grounding in software architecture principles and distributed systems.
- Strong analytical and problem-solving skills with an innovative mindset.
- Excellent communication skills, capable of articulating complex ideas clearly and persuasively.
- Collaborative team player with the ability to lead discussions on AI system design.
This is more than just an engineering role. it’s an opportunity to shape the infrastructure and technical future of Lucidya. You’ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
We offer Employee Stock Option Plans (ESOP) to give you ownership in the company’s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you’ll have the autonomy to lead, innovate, and grow—both personally and professionally.
#J-18808-LjbffrAI Agent Architect
Posted today
Job Viewed
Job Description
Lucidya is the leading customer experience intelligence platform in the MENA region, helping organizations deeply understand and serve their customers using cutting-edge AI. As we expand our AI capabilities, we are building agentic AI services that can reason, plan, and act autonomously to deliver real business value.
We are looking for an AI Agent Architect to design and lead the architecture of our next-generation AI agent systems.
As an AI Agent Architect, you will own the end-to-end design of agent systems at Lucidya. Your role is to define how agents reason, interact with tools, collaborate as multi-agent systems, manage memory, and operate safely at scale. You will work closely with ML engineers, backend engineers, product managers, and UX designers to turn advances in LLMs and agent frameworks into robust, production-ready systems fully integrated with Lucidya's platform.
We are seeking someone with a deep understanding of AI technologies who can architect systems that enable intelligent, goal-driven behaviors in our products. Collaboration is key: you will work across teams to align AI solutions with business needs, enhance user experiences, and bring innovative ideas from concept to production.
Key Tasks & Responsibilities- Design and implement the architecture of Lucidya's AI agents, including reasoning loops, planning, reflection, and multi-agent collaboration.
- Research and apply state-of-the-art methods in machine learning, natural language processing, and reinforcement learning.
- Guide the development of prototypes and proof-of-concept models, experimenting with emerging technologies.
- Collaborate with software engineers and data scientists to integrate AI capabilities seamlessly into Lucidya products.
- Architect scalable and secure agent–tool interactions (e.g., CRM, analytics APIs, external systems).
- Ensure AI solutions align with product goals and deliver measurable business value.
- Design short-term and long-term memory architectures for agents.
- Build retrieval-augmented generation (RAG) pipelines using vector databases (Pinecone, Weaviate, FAISS).
- Conduct evaluations of agent performance and optimize algorithms based on analytics and user feedback.
- Define observability standards for monitoring, debugging, and improving agent behaviors.
- Produce clear design documentation, specifications, and best practices for AI agent development.
- Establish AI governance and safety guardrails, ensuring agents act responsibly and in compliance with regulations.
- Stay current on the latest advancements in LLM, multi-agent, and AI systems research.
- Mentor engineers on agent orchestration and AI architecture best practices.
- Act as the subject matter expert and key driver of agentic AI within Lucidya.
- BA/BS or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 5+ years of experience in AI/ML development with a proven track record in AI system architecture.
- Demonstrated experience designing and deploying LLM-driven or multi-agent AI systems.
- Strong knowledge of AI algorithms, including supervised, unsupervised, and reinforcement learning.
- Proficiency in programming languages such as Python (Java or equivalent a plus).
- Hands-on experience with ML frameworks (TensorFlow, PyTorch).
- Expertise in LLM frameworks (LangChain, LlamaIndex, AutoGen, Semantic Kernel).
- Experience with natural language processing and modern NLP libraries.
- Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Weights & Biases, Docker, Kubernetes).
- Solid grounding in software architecture principles and distributed systems.
- Strong analytical and problem-solving skills with an innovative mindset.
- Excellent communication skills, capable of articulating complex ideas clearly and persuasively.
- Collaborative team player with the ability to lead discussions on AI system design.
Why Join Us?
This is more than just an engineering role. it's an opportunity to shape the infrastructure and technical future of Lucidya. You'll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
We offer Employee Stock Option Plans (ESOP) to give you ownership in the company's success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you'll have the autonomy to lead, innovate, and grow—both personally and professionally.
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AI Agent Architect
Posted today
Job Viewed
Job Description
Lucidya is the leading customer experience intelligence platform in the MENA region, helping organizations deeply understand and serve their customers using cutting-edge AI. As we expand our AI capabilities, we are building agentic AI services that can reason, plan, and act autonomously to deliver real business value.
We are looking for an AI Agent Architect to design and lead the architecture of our next-generation AI agent systems.
As an AI Agent Architect, you will own the end-to-end design of agent systems at Lucidya. Your role is to define how agents reason, interact with tools, collaborate as multi-agent systems, manage memory, and operate safely at scale. You will work closely with ML engineers, backend engineers, product managers, and UX designers to turn advances in LLMs and agent frameworks into robust, production-ready systems fully integrated with Lucidya's platform.
We are seeking someone with a deep understanding of AI technologies who can architect systems that enable intelligent, goal-driven behaviors in our products. Collaboration is key: you will work across teams to align AI solutions with business needs, enhance user experiences, and bring innovative ideas from concept to production.
Key Tasks & Responsibilities
- Design and implement the architecture of Lucidya's AI agents, including reasoning loops, planning, reflection, and multi-agent collaboration.
- Research and apply state-of-the-art methods in machine learning, natural language processing, and reinforcement learning.
- Guide the development of prototypes and proof-of-concept models, experimenting with emerging technologies.
- Collaborate with software engineers and data scientists to integrate AI capabilities seamlessly into Lucidya products.
- Architect scalable and secure agent-tool interactions (e.g., CRM, analytics APIs, external systems).
- Ensure AI solutions align with product goals and deliver measurable business value.
- Design short-term and long-term memory architectures for agents.
- Build retrieval-augmented generation (RAG) pipelines using vector databases (Pinecone, Weaviate, FAISS).
- Conduct evaluations of agent performance and optimize algorithms based on analytics and user feedback.
- Define observability standards for monitoring, debugging, and improving agent behaviors.
- Produce clear design documentation, specifications, and best practices for AI agent development.
- Establish AI governance and safety guardrails, ensuring agents act responsibly and in compliance with regulations.
- Stay current on the latest advancements in LLM, multi-agent, and AI systems research.
- Mentor engineers on agent orchestration and AI architecture best practices.
- Act as the subject matter expert and key driver of agentic AI within Lucidya
Requirements
- BA/BS or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 5+ years of experience in AI/ML development with a proven track record in AI system architecture.
- Demonstrated experience designing and deploying LLM-driven or multi-agent AI systems.
- Strong knowledge of AI algorithms, including supervised, unsupervised, and reinforcement learning.
- Proficiency in programming languages such as Python (Java or equivalent a plus).
- Hands-on experience with ML frameworks (TensorFlow, PyTorch).
- Expertise in LLM frameworks (LangChain, LlamaIndex, AutoGen, Semantic Kernel).
- Experience with natural language processing and modern NLP libraries.
- Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Weights & Biases, Docker, Kubernetes).
- Solid grounding in software architecture principles and distributed systems.
- Strong analytical and problem-solving skills with an innovative mindset.
- Excellent communication skills, capable of articulating complex ideas clearly and persuasively.
- Collaborative team player with the ability to lead discussions on AI system design
Benefits
*Why Join Us? *
This is more than just an engineering role. it's an opportunity to shape the infrastructure and technical future of Lucidya. You'll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
We offer Employee Stock Option Plans (ESOP) to give you ownership in the company's success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you'll have the autonomy to lead, innovate, and grow—both personally and professionally.
AI Solution Architect
Posted today
Job Viewed
Job Description
Job Title: AI Solution Architect
Experience: 8+ Years
Location: Saudi Arabia
Notice Period: Immediate
Job Description
We are seeking a highly skilled AI Solution Architect to lead the design and architecture of advanced AI-driven solutions. The ideal candidate will be responsible for shaping both high-level solution blueprints and detailed low-level technical designs, ensuring scalability, security, and performance. This role requires a balance of strategic vision and hands-on expertise, with a strong background in DevOps, cloud-native environments, and AI/ML solution design.
Key Responsibilities:
- Design end-to-end AI architectures (from data ingestion and pipelines to model deployment and integration with business systems).
- Develop both High-Level Designs (HLDs) for executive stakeholders and Low-Level Designs (LLDs) for engineering teams.
- Collaborate with data scientists, AI engineers, and DevOps teams to translate business requirements into scalable technical solutions.
- Define integration strategies for AI solutions with enterprise platforms (ERP, CRM, IoT, etc.).
- Ensure cloud-native deployment strategies (AWS, Azure, GCP, or on-premise) with focus on MLOps best practices.
- Govern non-functional requirements (NFRs): performance, scalability, availability, security, and compliance (e.g., NCA, SDAIA standards).
- Provide technical leadership and guidance during PoCs, pilots, and production rollouts.
- Build reusable frameworks and reference architectures for future AI projects.
Qualifications:
- Bachelor's or Master's in Computer Science, Data Engineering, or related field.
- Proven experience (5+ years) in solution architecture, preferably in AI/ML domains.
- Strong knowledge of DevOps/MLOps, containerization (Docker, Kubernetes), and CI/CD pipelines.
- Experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) and data platforms.
- Solid background in cloud computing (AWS, Azure, GCP) and hybrid/on-prem solutions.
- Proficiency in API design, microservices, and integration architectures.
- Familiarity with security and compliance frameworks in regulated industries.
- Strong communication skills with ability to simplify complex technical concepts for non-technical stakeholders.
Preferred / Nice-to-Have:
- Certifications: AWS/Azure Solution Architect, TOGAF, Kubernetes.
- Exposure to GenAI, LLMOps, and RAG pipelines.
- Knowledge in data governance frameworks (NODI, ISO 27001, etc.).
- Experience in designing multi-tenant platforms and AI-powered SaaS solutions.
AI Solutions Architect
Posted today
Job Viewed
Job Description
The
AI Solutions Architect
is responsible for designing and overseeing the implementation of AI-driven solutions, ensuring they meet both business and technical requirements. The architect defines the technical architecture for AI systems, ensuring scalability, performance, and seamless integration with existing infrastructure. This role involves selecting the appropriate technologies and tools for AI model development, deployment, and integration. Additionally, the architect provides leadership and mentorship to development teams, ensuring the solutions are developed following best practices, and maintaining high standards for security, compliance, and quality.
Key Responsibilities:
- Design scalable and efficient AI solution architectures.
- Define and document technical specifications for AI projects.
- Lead the selection of AI technologies, frameworks, and tools, including TensorFlow, PyTorch, Keras, and Apache Spark.
- Oversee the integration of AI models with data pipelines and business applications using technologies like Apache Kafka, Kafka Streams, and cloud platforms (AWS, Azure, GCP).
- Ensure the AI solutions meet security, compliance, and performance standards using best practices in security protocols and data privacy (GDPR, HIPAA).
- Collaborate with cross-functional teams to align on technical goals and requirements.
- Mentor development teams and provide technical leadership on machine learning algorithms, deep learning, NLP, and reinforcement learning.
- Monitor and optimize the performance of deployed AI solutions, leveraging performance monitoring tools such as Grafana, Prometheus, or ELK stack.
- Drive innovation and stay up-to-date with emerging AI technologies and architectures, such as microservices-based designs, Kubernetes, and Docker.
- Communicate technical designs and concepts to both technical and non-technical stakeholders, ensuring clarity on how AI models and systems integrate with the overall business ecosystem