AI Architect

Capgemini Engineering; Dubai; On-site; AED 360,000 - 600,000; Full time

Benefits offered by this job

Dedicated innovation labs

Digital campuses and academy

Capgemini Engineering global community

Job summary

Capgemini Engineering is seeking an AI Architect to own architecture and industrialization of AI capabilities across GenAI, LLM, RAG, Agentic AI, and multimodal systems. You will connect business requirements with data, models, infrastructure, security and operations to deliver measurable, secure, and production-ready AI solutions.

You will define production architectures for LLMs, manage AI evaluation strategies, and govern end-to-end MLOps/LLMOps with a strong emphasis on security and

Qualifications

• 8–12 years of hands-on experience across GenAI, LLM, RAG and Agentic AI.
• Strong command of AI engineering fundamentals including Python, REST APIs, vector databases, GPU/inference concepts, containerisation and cloud AI platforms.
• Experience architecting AI and business-process orchestration solutions using tools such as Langflow, LangChain, LangGraph or Flowable, with solid understanding of BPMN 2.0.
• Strong stakeholder communication skills with the ability to challenge model and platform choices using evidence-based evaluation and to influence both technical teams and senior business leaders.

Responsibilities

• Define target architectures for LLM, RAG, Agentic AI, Computer Vision and multimodal capabilities.
• Architect AI and business-process orchestration solutions using Langflow, LangChain, LangGraph or Flowable in BPMN 2.0 context.
• Govern AI evaluation strategy, including Golden Dataset design, benchmarking, drift detection and observability.
• Oversee MLOps and LLMOps lifecycle with security and Responsible AI by design.

Skills

GenAI

LLM

RAG

Agentic AI

Python

REST APIs

Vector databases

GPU inference concepts

Containerisation

Cloud AI platforms

MLOps

LLMOps

Langflow

LangChain

LangGraph

Flowable

BPMN 2.0

Security and Responsible AI

Explainability practices

Tools

Langflow

LangChain

LangGraph

Flowable

Job description

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.Your RoleAs an AI Architect, you will own the architecture and industrialization of AI capabilities across the full spectrum — from Generative AI and Agentic AI to Computer Vision, local and cloud models, and AI-enabled business processes. You will be the connective tissue between business requirements, data, models, infrastructure, security and operations — ensuring every AI solution is measurable, governed, secure and production-ready.In this role you will play a key role in:Defining target architectures for LLM, RAG, Agentic AI, Computer Vision and multimodal capabilities, including agent design, memory, function calling, human-in-the-loop controls and multi-agent patternsArchitecting and implementing AI and business-process orchestration solutions using platforms such as Langflow and Flowable, translating complex business processes into executable workflows that integrate people, AI agents, APIs and enterprise systems using BPMN 2.0Establishing and governing the AI evaluation strategy, including Golden Dataset methodology, task-specific metrics, benchmarking, regression evaluation and maintaining clear separation between training and evaluation dataDefining production observability frameworks covering drift detection, quality degradation monitoring, feedback loops and continuous re-evaluation of approved AI solutionsDesigning local and sovereign model architectures using Ollama, vLLM and the Hugging Face ecosystem, evaluating quality, security, sovereignty, cost and operational trade-offs between local and managed modelsDefining RAG pipelines including ingestion, chunking, embedding, vector search, hybrid retrieval and reranking, as well as Computer Vision pipelines for classification, detection, segmentation and anomaly detectionGoverning the full MLOps and LLMOps lifecycle — from development and evaluation through to deployment, observation and continuous improvement — while embedding security, Responsible AI principles and architectural governance throughoutActing as the AI architecture authority within the solution, aligning with the Lead Solution Architect, guiding AI/ML and Computer Vision engineers, and communicating clearly with non-technical stakeholdersYour ProfileProven experience as an AI Architect or senior technical architect with 8–12 years of hands-on experience across GenAI, LLM, RAG and Agentic AI, with practical application of IAF, TOGAF or an equivalent recognised architecture frameworkStrong command of AI engineering fundamentals including Python, REST APIs, vector databases, GPU/inference concepts, containerisation and cloud AI platforms, with experience governing MLOps and LLMOps pipelines end-to-endDemonstrated ability to define and operationalise AI evaluation strategies, including Golden Dataset design, model benchmarking, drift detection and observability — balancing AI autonomy with deterministic controls and human accountabilityExperience architecting AI and business-process orchestration solutions using tools such as Langflow, LangChain, LangGraph or Flowable, with solid understanding of BPMN 2.0 and the ability to translate business processes into governed, scalable AI-integrated workflowsStrong stakeholder communication skills with the ability to challenge model and platform choices using evidence-based evaluation, and to influence both technical teams and senior business leadersExperience in security and Responsible AI by design, including secure model endpoints, guardrails, controlled tool access and appropriate explainability practicesWhat you'll love about working hereDedicated innovation labs We help the world's largest innovators engineer the products and services of tomorrow by leveraging our experts and labs, dedicated to topics as 5G, 6G, AI, Autonomous Vehicles and Quantum.Digital campuses and academy Our engineering academy offers more than 60,000 hours of training, as well as our digital campus on GenAI, data or sustainability, supporting digital learning in the flow of work from awareness to expert certifications.Worldwide Leader of Engineering Services Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. We help our clients unleash their R&D potential to develop smart products and services of tomorrow.Engineering Horizons A global conference crafted exclusively for Capgemini Engineering colleagues, where excellence takes centre stage. Immerse yourself in opportunities to showcase your talents and connect with the brightest minds in engineering across the planet.Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.