Job Description

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SOLUTION ARCHITECT

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Publication Date: Nov 12, 2025
Ref. No: 539435
Location:
Pune, IN
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 basis Role 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: o Architect and build the AI Factory -- a central repository of reusable AI/ML models, GenAI prompts, agents, pipelines, APIs, and accelerators. o Define and implement MLOps workflows for versioning, model training, deployment, CI/CD, monitoring, and governance. o Design and integrate GenOps pipelines for prompt engineering, LLM orchestration, evaluation, and optimization. o Create blueprints and templates for standardized AI solution delivery across cloud platforms (Azure, AWS, GCP). o Build accelerators and reusable modules to speed up AI solutioning for common use cases (e.g., chatbots, summarization, document intelligence). o Enable pre-sales and solution teams with reusable assets for demos, PoCs, and customer presentations. o Contribute to RFP/RFI responses with scalable, production-ready AI factory strategies and architectural documentation. o Collaborate with data engineering, DevOps, cloud, and security teams to ensure robust and enterprise-compliant AI solution delivery. Required Skills: o Deep experience in MLOps tools like MLflow, Kubeflow, SageMaker Pipelines, Azure ML Pipelines, or Vertex AI Pipelines. o Understanding of GenOps frameworks including prompt flow management, LLM evaluation (e.g., TruLens, Ragas), and orchestration (LangChain, LlamaIndex, Semantic Kernel). o Strong command of Python, YAML/JSON, and API integration for scalable AI component development. o Experience with CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps), containerization (Docker, Kubernetes), and model registries. o Familiar with model observability, drift detection, automated retraining, and model versioning. o Ability to create clean, reusable architecture artifacts and professional PowerPoint decks for customer and internal presentations. Preferred Qualifications: o Experience in building and managing an enterprise-wide AI marketplace or model catalog. o Familiarity with LLMOps platforms (e.g., Weights & Biases, PromptLayer, Arize AI). o Exposure to multi-cloud GenAI architectures and hybrid deployment models. o Cloud certifications in AI/ML from any major provider (AWS, Azure, GCP). Soft Skills: o Strong leadership and mentoring capabilities. o Effective communication and storytelling skills for technical and non-technical audiences. o Innovation mindset with a passion for automation and efficiency. o Comfortable working in a fast-paced, cross-functional environment with shifting priorities.