Technical Architect
- Atos
- 20 - 25 years
- Bengaluru
- 21 days ago
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Job Description
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 (eg, 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
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical ArchitectEmployement Type: Full timeContact Details:
Company: AtosLocation(s): Bengaluru+ View Contact
Keyskills: Python Kubeflow Vertex AI Pipelines Azure GCP Azure ML Pipelines MLflow AWS SageMaker Pipelines
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