Azure AI Tech Lead

4 days ago


Bengaluru, Karnataka, India Vtricks Technologies Full time ₹ 11,21,600 - ₹ 22,62,800 per year

Position- Azure AI Tech Lead

Experience- 4- 8 years

Budget - 12 LPA

Full Time

Location- Bengaluru

Work from office

Only IMMEDIATE JOINERS , who can join within a week or two

Job Description

We are looking for a highly skilled Tech Lead AI Engineer with a strong foundation in AI/ML technologies, hands-on engineering capabilities, and demonstrated leadership in managing and mentoring technical teams. The ideal candidate will bring 3–5 years of experience, including leading AI/ML projects or teams, working with intelligent agents, and building scalable, production-grade AI solutions using modern cloud infrastructure. This role requires balancing technical depth with strategic oversight, guiding team members, and driving innovation across projects. You will work across disciplines to solve real-world problems using cutting-edge AI, contributing to enterprise-grade intelligent systems that deliver measurable business value.

Key Responsibilities

  • AI Agent Development
  • Design and develop scalable multi-agent systems using Azure AI Foundry Agent Service and Semantic Kernel SDK.
  • Build specialized agents (retrieval, planner, executor, evaluator) for end-to-end orchestration of complex workflows.
  • Provide technical leadership in defining agent architectures, interface contracts, and scalability strategies.
  • Retrieval-Augmented Generation (RAG)
  • Implement text and multimodal RAG pipelines combining Azure AI Search, Cognitive Services, and Cosmos DB (Graph-RAG).
  • Lead experimentation and optimization efforts to improve retrieval precision and grounding accuracy.
  • Model Management & LLMOps
  • Fine-tune, evaluate, and deploy LLMs (Azure OpenAI GPT‑4o, GPT‑3.5, Llama‑2, Mistral) on Azure Machine Learning.
  • Drive model lifecycle workflows using Prompt Flow, GitHub Actions, and CI/CD pipelines.
  • Establish governance and review checkpoints for prompt, model, and agent deployments.
  • API & Integration Engineering
  • Expose agent capabilities via high-throughput REST and streaming WebSocket APIs using FastAPI or Azure Functions.
  • Lead integration architecture with Microsoft 365 (Graph API, Teams, Power Platform) and third-party SaaS systems.
  • Define API standards and security practices for internal and external integrations.
  • Trust, Safety & Observability
  • Implement safe, compliant operations using Azure AI content filters, RBAC, Application Insights, and telemetry dashboards.
  • Define observability strategies and oversee incident tracking, alerting, and root cause analysis for agent behaviors.
  • Collaboration & Mentoring
  • Work closely with engineering, product, and UX teams in agile delivery cycles.
  • Mentor junior and mid-level engineers in agentic design patterns, architecture decisions, and Azure-native development.
  • Foster a culture of continuous learning through pair programming, code reviews, and internal knowledge sharing.
  • No-Code and Low-Code Approaches
  • Leverage platforms like Power Automate, Power Virtual Agents, and to deliver AI solutions rapidly.
  • Architect and validate no-code workflows for business teams while ensuring back-end integration integrity.
  • Promote citizen development by supporting cross-functional stakeholders in low-code solution building.
  • Cross-Functional Leadership
  • Collaborate across disciplines to design, build, and deliver high-impact AI solutions with measurable outcomes.
  • Translate complex technical concepts into business-friendly presentations for non-technical audiences.
  • Balance technical contribution and team leadership, allocating time to unblock others and drive alignment.
  • Research, Upskilling, and R&D
  • Stay current with the latest advancements in AI, LLMs, RAG, and agentic architectures.
  • Guide the team in tool evaluation, PoCs, and strategic technology adoption.
  • Lead internal workshops, training sessions, and capability building initiatives.

Required Skills

  • Bachelor's degree in computer science, IT, or related field.
  • 3–5 years of experience developing Agentic AI solutions; minimum 2 years in autonomous agent patterns.

Job Type: Full-time

Pay: ₹1,116, ₹2,262,800.73 per year

Application Question(s):

  • What is your notice period in days?

Experience:

  • Agentic AI solutions; autonomous agent patterns.: 3 years (Required)

Work Location: In person


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