14 hours ago
Dubai, United Arab EmiratesSenior / Staff+
Responsibilities
- Define target architectures for LLM, RAG, Agentic AI, Computer Vision, multimodal, and AI-enabled business-process capabilities.
- Architect and implement governed AI and business-process orchestration workflows integrating people, agents, APIs, and enterprise systems.
- Establish evaluation strategies using Golden Datasets, task-specific metrics, benchmarking, regression evaluation, and separated training and evaluation data.
- Design production observability for drift detection, quality degradation, feedback loops, and continuous AI re-evaluation.
- Design local and sovereign model architectures and assess quality, security, sovereignty, cost, and operational trade-offs.
- Define RAG and Computer Vision pipelines, including retrieval, reranking, classification, detection, segmentation, and anomaly detection.
- Govern MLOps and LLMOps from development and evaluation through deployment, observation, and continuous improvement.
- Embed security, Responsible AI, architectural governance, guardrails, controlled tool access, and explainability into AI solutions.
- Act as the AI architecture authority, guide AI/ML and Computer Vision engineers, and communicate with technical and non-technical stakeholders.
Requirements
- 8–12 years of hands-on experience as an AI Architect or senior technical architect across GenAI, LLM, RAG, and Agentic AI.
- Practical experience with IAF, TOGAF, or an equivalent recognized architecture framework.
- Strong AI engineering fundamentals including Python, REST APIs, vector databases, GPU and inference concepts, containerization, cloud AI platforms, MLOps, and LLMOps.
- Experience defining and operationalizing AI evaluation strategies, Golden Dataset design, model benchmarking, drift detection, and observability.
- Experience architecting AI and business-process orchestration with Langflow, LangChain, LangGraph, or Flowable, with understanding of BPMN 2.0.
- Ability to evaluate model and platform choices using evidence and influence technical teams and senior business leaders.
- Experience with security and Responsible AI by design, including secure model endpoints, guardrails, controlled tool access, and explainability practices.
Benefits
- Access to dedicated innovation labs focused on areas including 5G, 6G, AI, autonomous vehicles, and quantum technologies.
- Training through the engineering academy, with more than 60,000 hours of training and digital campuses covering GenAI, data, and sustainability.
- Opportunities to work with a global leader in engineering services across digital and software engineering.
- Participation in Engineering Horizons, a global conference for Capgemini Engineering colleagues.
- Global collaboration across more than 50 countries and opportunities to showcase technical expertise.
Tech Stack
Categories
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.