Lead AI Engineer / AI Solution Architect – Azure AI Foundry
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Before you apply
LocationBengaluru
Also inDelhi / Mumbai / Bangalore (India)
Work modehybrid
Typefull-time
SeniorityLead
Experience8–10 yrs
DepartmentBusiness Applications
Company size10,000+ people
PostedOct 28, 2026 · 1w ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
8-10 years of total experience in software / data / AI engineering
At least 3-4 years architecting and delivering Generative AI solutions in production
Deep expertise in Azure AI Foundry (model catalog, Agent Service, evaluations, tracing, safety, governance) and the wider Azure AI stack
Demonstrated experience architecting large-scale RAG systems (hybrid retrieval, graph/agentic RAG, multimodal, multi-tenant, access-controlled)
Demonstrated experience architecting multi-agent systems with Azure AI Foundry and frameworks such as Semantic Kernel, LangGraph, or AutoGen
Strong AI/ML foundation: classical ML, deep learning, NLP / LLMs, fine-tuning, evaluation, and MLOps on Azure Machine Learning or equivalent
Strong Azure architecture skills: networking (VNet, Private Link), identity (Entra ID, managed identity), AKS / Container Apps, API Management, Cosmos DB, Key Vault, Monitor
Expert-level Python and strong software architecture / design-pattern knowledge; experience with CI/CD and Infrastructure as Code
Track record of leading teams, owning delivery outcomes, and managing technical risk
Excellent client-facing skills, including presales, proposal writing, and executive presentations
B.E. / B.Tech / M.E. / M.Tech / MCA / M.Sc in Computer Science, Data Science, AI/ML, or a related field
Advanced degree preferred
Azure certifications (AI-102, DP-100, AZ-305, or AZ-400)
Experience with fine-tuning (LoRA / PEFT), distillation, and small language models
Experience in Microsoft Fabric, Databricks, or modern data platform architecture
Experience in regulated industries (BFSI, healthcare, public sector) and associated compliance needs
Published work, patents, conference talks, or community contributions in AI
Skills
Azure AI Foundry
RAG
AI Agents
AI/ML
Semantic Kernel
LangGraph
AutoGen
Python
Azure Machine Learning
VNet
Private Link
Entra ID
Managed Identity
AKS
Container Apps
API Management
Cosmos DB
Key Vault
Monitor
CI/CD
Infrastructure as Code
Microsoft Fabric
Databricks
LoRA
PEFT
Lead AI Engineer / AI Solution Architect – Azure AI Foundry
Experience
8 – 10 years
Level
Lead / Architect
Location
Delhi / Mumbai / Bangalore (India)
Employment Type
Full-time
Primary Skills
Azure AI Foundry, RAG, AI Agents, AI / ML
Role Summary
We are looking for a Lead AI Engineer / AI Solution Architect to define and drive the technical vision for enterprise Generative AI and agentic AI solutions on Azure AI Foundry. You will architect end-to-end RAG and multi-agent platforms, set engineering standards, lead and grow a team of AI engineers, and partner with senior client stakeholders to deliver measurable business outcomes.
Key Responsibilities
•
Own the end-to-end architecture of enterprise GenAI platforms on Azure AI Foundry, covering RAG, multi-agent systems, ML pipelines, security, and integration.
•
Define reference architectures, reusable accelerators, and best practices for RAG, agents, evaluation, and LLMOps across engagements.
•
Lead the design of complex multi-agent workflows with orchestration, memory, human-in-the-loop, and enterprise tool / MCP integration.
•
Establish governance for responsible AI: guardrails, content safety, data privacy, compliance, model risk, and audit.
•
Drive model strategy: selection among Azure OpenAI and open-source models, fine-tuning, cost-performance trade-offs, and capacity planning.
•
Define evaluation, observability, and monitoring strategy for AI systems in production (quality, drift, latency, cost, safety).
•
Lead, mentor, and grow a team of AI engineers; set technical direction, review designs, and ensure delivery quality.
•
Partner with client CXO / senior stakeholders in solutioning, discovery workshops, proposals, estimations, and technical presales.
•
Evaluate emerging AI technologies and drive POCs that convert into scalable offerings.
Required Skills & Experience
•
8 – 10 years of total experience in software / data / AI engineering, with at least 3 – 4 years architecting and delivering Generative AI solutions in production.
•
Deep expertise in Azure AI Foundry (model catalog, Agent Service, evaluations, tracing, safety, governance) and the wider Azure AI stack.
•
Demonstrated experience architecting large-scale RAG systems (hybrid retrieval, graph / agentic RAG, multimodal, multi-tenant, access-controlled).
•
Demonstrated experience architecting multi-agent systems with Azure AI Foundry and frameworks such as Semantic Kernel, LangGraph, or AutoGen.
•
Strong AI/ML foundation: classical ML, deep learning, NLP / LLMs, fine-tuning, evaluation, and MLOps on Azure Machine Learning or equivalent.
•
Strong Azure architecture skills: networking (VNet, Private Link), identity (Entra ID, managed identity), AKS / Container Apps, API Management, Cosmos DB, Key Vault, Monitor.
•
Expert-level Python and strong software architecture / design-pattern knowledge; experience with CI/CD and Infrastructure as Code.
•
Track record of leading teams, owning delivery outcomes, and managing technical risk.
•
Excellent client-facing skills, including presales, proposal writing, and executive presentations.
.
Good to Have
•
Azure certifications (AI-102, DP-100, AZ-305, or AZ-400).
•
Experience with fine-tuning (LoRA / PEFT), distillation, and small language models.
•
Experience in Microsoft Fabric, Databricks, or modern data platform architecture.
•
Experience in regulated industries (BFSI, healthcare, public sector) and associated compliance needs.
•
Published work, patents, conference talks, or community contributions in AI.
Soft Skills
•
Strategic thinking with the ability to connect AI capabilities to business value.
•
Strong leadership, mentoring, and cross-functional collaboration.
•
Clear and persuasive communication with both technical and executive audiences.
Education
B.E. / B.Tech / M.E. / M.Tech / MCA / M.Sc in Computer Science, Data Science, AI/ML, or a related field. Advanced degree preferred.
.