AI Architect

Role : AI Architect

Experience : 8-14 Years

Employment Type : Full Time

Location: Bangalore / Mangalore

Primary Skillsets:

Python, Generative AI, Agentic AI, LLM, experience with designing and developing production grade AI solutions, AWS/Azure/GCP, LLMOps, Data Engineering (Databricks/Snowflake), Regulated GenAI, Data and Decisions, and Agentic Systems.

Role & responsibilities:

• Design end-to-end solutions for client engagements, from data and models to deployment, evaluation and operations.
• Lead RFP responses and proposals: solution outline, team shape, estimates, risks and success measures.
• Act as the senior technical voice with client sponsors, IT, security and business stakeholders.
• Set engineering standards for your pod and review critical designs and code.
• Hire, coach and grow your Lead, Senior Engineers and AI Engineers.
• Build reusable assets (accelerators, reference architectures, evaluation harnesses) that make the next engagement faster.
• Re-plan calmly when client scope, platform or constraints change mid-engagement.

Pod focus: Data and Decisions

• Lakehouse and warehouse platforms (Databricks, Snowflake or similar), including migrations between them.
• Data modelling, semantic layers and governance that reconcile to business definitions.
• Forecasting, supply chain planning and decision-support agents built on top of the data platform.

Pod focus: Agentic Systems

• Agent platforms and production agents across AWS, Azure and GCP, with cloud-agnostic core design.
• Tool design, permissions, human approval gates, tracing and evaluation for agents
• IT and operations agents, LLMOps, observability and integration with enterprise systems.

What you bring :

• A track record of client-accepted systems in production, and you can explain what broke after go-live and how you fixed it.
• Strong fundamentals beneath the frameworks: retrieval, evaluation, data modelling, distributed processing, cost and latency trade-offs
• Depth in your pod's focus area (above) and working knowledge of at least one major cloud.
• Experience writing proposals and estimates that held up in delivery.
• Clear, calm communication with both engineers and non-technical sponsors.
• Evidence of growing people: engineers you hired or coached who moved up.