Establishing and governing the AI evaluation strategy, including Golden Dataset methodology, task-specific metrics, benchmarking, regression evaluation and maintaining clear separation between training and evaluation data
Defining production observability frameworks covering drift detection, quality degradation monitoring, feedback loops and continuous re-evaluation of approved AI solutions
Designing 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 models
Defining RAG pipelines including ingestion, chunking, embedding, vector search, hybrid retrieval and reranking, as well as Computer Vision pipelines for classification, detection, segmentation and anomaly detection
Governing 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 throughout
Acting 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 stakeholders
Your Profile
Proven 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 framework
Strong 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-end
Demonstrated 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 accountability
Experience 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 workflows
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
Experience in security and Responsible AI by design, including secure model endpoints, guardrails, controlled tool access and appropriate explainability practices
What you'll love about working here
Dedicated 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.
Ref. code
586694
Posted on
Oct 29, 2026
Experience Level
Experienced Professionals
Contract Type
Permanent
Location
Dubai, AE
Brand
Capgemini Engineering
Professional Community
Architecture
Apply now »
Apply now
Apply Now
Start applying with LinkedIn
Start
Please wait...
Find similar jobs
Privacy Policy
Terms of Use
Social Media Guidelines
Legal Information / Mentions Légales
Our Brands
Capgemini
Capgemini Invent
Capgemini Engineering
frog
Sogeti
All rights reserved by Capgemini. Copyright © 2025
×
Cookie Consent Manager
When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer.
Required Cookies
These cookies are required to use this website and can't be turned off.
Required Cookies
Show More Details
Required Cookies
- Provider
- Description
- Enabled
SAP as service provider
We use the following session cookies, which are all required to enable the website to function:
"route" is used for session stickiness
"careerSiteCompanyId" is used to send the request to the correct data center
"JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor
"Load balancer cookie" (actual cookie name may vary) prevents a visitor from bouncing from one instance to another
Cookies from provider SAPasserviceprovider are required and cannot be turned off
Advertising Cookies
These cookies serve ads that are relevant to your interests. You may freely choose to accept or decline these cookies at any time. Note that certain functionality that these third parties make available may be impacted if you do not accept these cookies.
Consent to all Advertising Cookies
Show More Details
Advertising Cookies
- Provider
- Description
- Enabled
LinkedIn
LinkedIn is an employment-oriented social networking service. We use the Apply with LinkedIn feature to allow you to apply for jobs using your LinkedIn profile. Opting out of LinkedIn cookies will disable your ability to use Apply with LinkedIn.
Cookie Policy
Cookie Table
Privacy Policy
Terms and Conditions
Consent to cookies from provider LinkedIn
Confirm My Choices
- Reject All Cookies
- Accept all cookies
