Job Description

The future is our choice At Atos, as the global leader in secure and decarbonized digital, our purpose is to help design the future of the information space. Together we bring the diversity of our people s skills and backgrounds to make the right choices with our clients, for our company and for our own futures. Position:Senior AI Architect - AI Factory (MLOps, GenOps)Experience:20+ years of total IT experience with a minimum of 10 years in AI/ML. Proven experience in building scalable AI platforms or "AI Factories" for productionizing machine learning and generative AI workflows, including strong hands-on expertise in MLOps and emerging GenOps practices.Location:Bangalore / Pune on case-to-case basisRole Summary:We are looking for a Senior AI Architect to lead the design and implementation of a next-generation AI Factory platform that streamlines the development, deployment, monitoring, and reuse of AI/ML and GenAI assets. This role will be instrumental in establishing scalable MLOps and GenOps practices, building reusable components, standardizing pipelines, and enabling cross-industry solutioning for pre-sales and delivery.The candidate will work closely with the AI Practice Head, contributing to both business enablement and technical strategy while supporting customer engagements, RFP/RFI responses, PoCs, and accelerator development.Key Responsibilities: Architect and build the AI Factory a central repository of reusable AI/ML models, GenAI prompts, agents, pipelines, APIs, and accelerators. Define and implement MLOps workflows for versioning, model training, deployment, CI/CD, monitoring, and governance. Design and integrate GenOps pipelines for prompt engineering, LLM orchestration, evaluation, and optimization. Create blueprints and templates for standardized AI solution delivery across cloud platforms (Azure, AWS, GCP). Build accelerators and reusable modules to speed up AI solutioning for common use cases (e.g., chatbots, summarization, document intelligence). Enable pre-sales and solution teams with reusable assets for demos, PoCs, and customer presentations. Contribute to RFP/RFI responses with scalable, production-ready AI factory strategies and architectural documentation. Collaborate with data engineering, DevOps, cloud, and security teams to ensure robust and enterprise-compliant AI solution delivery.Required Skills: Deep experience in MLOps tools like MLflow, Kubeflow, SageMaker Pipelines, Azure ML Pipelines, or Vertex AI Pipelines. Understanding of GenOps frameworks including prompt flow management, LLM evaluation (e.g., TruLens, Ragas), and orchestration (LangChain, LlamaIndex, Semantic Kernel). Strong command of Python, YAML/JSON, and API integration for scalable AI component development. Experience with CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps), containerization (Docker, Kubernetes), and model registries. Familiar with model observability, drift detection, automated retraining, and model versioning. Ability to create clean, reusable architecture artifacts and professional PowerPoint decks for customer and internal presentations.Preferred Qualifications: Experience in building and managing an enterprise-wide AI marketplace or model catalog. Familiarity with LLMOps platforms (e.g., Weights & Biases, PromptLayer, Arize AI). Exposure to multi-cloud GenAI architectures and hybrid deployment models. Cloud certifications in AI/ML from any major provider (AWS, Azure, GCP).Soft Skills: Strong leadership and mentoring capabilities. Effective communication and storytelling skills for technical and non-technical audiences. Innovation mindset with a passion for automation and efficiency. Comfortable working in a fast-paced, cross-functional environment with shifting priorities. Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. Choose your future. Choose Atos.