AI Lead Architect

Overview

AI Solutions Lead / AI Architect to architect, govern, and grow an AI delivery practice across GenAI, agentic AI, and applied ML. This is a hands-on hybrid lead role owning solution architecture, evaluation standards, reusable components, and the technical bar for delivery teams.

What you'll do

• Translate client/business problems into staged, defensible AI solution roadmaps during pre-sales and delivery.
• Lead end-to-end solutioning and architecture for GenAI, agentic AI, multimodal, and applied ML use cases with trade-off analysis.
• Own reference architectures and design patterns for multimodal agentic systems (planning, tool use, memory, grounding, inter-agent communication).
• Conduct solution design reviews across concurrent client engagements and facilitate technical decisions.
• Design evaluation frameworks, golden datasets, regression suites, and observability for agentic/generative systems.
• Define safety/guardrail/hallucination-control standards and lead red-teaming and adversarial testing for high-stakes deployments.

What you'll need

• 10–12 years of hands-on experience building and deploying ML/DL/AI systems in production with progression into solution architecture and technical leadership.
• 10+ years of demonstrable experience working with global businesses delivering on large accounts.
• 3+ years of hands-on work in GenAI and/or agentic AI beyond prompt engineering/basic RAG.
• Proven track record architecting and shipping enterprise-grade AI systems (including regulated/high-stakes domains).
• 3+ years leading ML/AI technical pods/teams, mentoring senior engineers, and setting hiring/review standards.
• Advanced Python and SQL; strong API/backend engineering with FastAPI/Flask/Django.
• Experience with LLMs/SLMs, RAG/agentic RAG, multimodal architectures, evaluation/safety, and production deployment (AWS/Azure/GCP).

Details

• Work mode: hybrid with no less than 3 days from office.
• Location: DGS India - Bengaluru - Manyata N1 Block.
• Employment type: Full time (Permanent).