Artificial Intelligence Engineer

Hiring Alert | Lead AI Engineer Agentic AI (Microsoft Copilot)

CTC: 3540 LPA Overall** | Location: Pune, India | Experience: 1015 Years

We are looking for a seasoned AI Engineering Leader to join a high-impact Agentic AI team focused on building next-generation autonomous AI systems, enterprise-grade intelligent workflows, and scalable GenAI platforms.

This role is ideal for senior professionals with strong expertise in Generative AI, AI Orchestration, Autonomous Agents, Prompt Engineering, and enterprise AI architecture, along with proven leadership experience in driving large-scale AI initiatives and mentoring high-performing engineering teams.

You will play a strategic role in shaping AI-driven products and platforms that leverage LLMs, multi-agent systems, enterprise integrations, and self-learning AI frameworks.

Key Responsibilities:

Lead the architecture, development, and deployment of enterprise-scale Agentic AI platforms

Build and manage autonomous AI agents using advanced LLM frameworks and orchestration ecosystems

Drive AI strategy, technical decision-making, and platform scalability initiatives

Mentor and lead cross-functional AI engineering teams across development, deployment, and optimization cycles

Design reusable AI infrastructure, modular architectures, and enterprise-grade automation frameworks

Work on prompt engineering, multi-agent orchestration, tool calling, and intelligent workflow automation

Collaborate with Product, Engineering, Data Science, and Leadership stakeholders to align AI initiatives with business goals

Fine-tune, optimize, and evaluate LLMs/SLMs for performance, scalability, security, and low-latency deployments

Drive CI/CD automation, governance, AI operational excellence, and platform reliability

Build self-learning AI systems capable of adaptive reasoning and autonomous decision-making

Required Skills:

Strong hands-on experience in Python, Java, Node.js, JavaScript, React, and Postgres

Expertise in LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar AI orchestration frameworks

Strong understanding of Prompt Engineering, AI Agents, MCP, A2A protocols, and Tool Calling

Experience with Microsoft Foundry/Azure Foundry, Copilot Studio, Agentforce, or equivalent AI ecosystems

Hands-on experience with APIs, enterprise integrations, Power Automate, and AI workflow orchestration

Strong understanding of AI model optimization, quantization, distillation, and edge deployments

Proven leadership experience managing engineering teams, driving delivery, and mentoring technical talent

Preferred Background:

Enterprise AI Platforms | Generative AI | Conversational AI | Autonomous Systems | AI Product Engineering | SaaS/PaaS AI Platforms

If you are passionate about leading the future of autonomous AI systems and building enterprise-scale intelligent platforms, we would love to connect with you.