Engineering Manager AI
Location: Gurugram
Experience: 10+ Years
Employment Type: Full-time
Work Model: Hybrid
Working Days: 5 Days
CTC: Up to 70 LPA (All Fixed)
Notice Period: Preferably 45 Days | Maximum 60 Days

About the Role

EMB Global is looking for an Engineering Manager AI to lead an engineering team building production-grade Agentic AI and GenAI solutions for enterprise clients.

This is a player-coach role, requiring a strong software/development background along with engineering leadership. The candidate will be responsible for technical direction, team development, delivery and engineering quality while remaining hands-on with technical discussions, architecture and critical engineering problems.

Key Responsibilities

- Lead and develop a team of AI/ML and software engineers.
- Drive the development of Multi-Agentic AI systems and production-grade AI solutions.
- Own AI orchestration, agent workflows and RAG pipelines.
- Provide technical direction around architecture, design and engineering practices.
- Review technical designs and code and help resolve complex engineering challenges.
- Plan and manage engineering delivery, timelines and sprints.
- Drive hiring, onboarding, performance management and career development.
- Ensure engineering quality, testing, CI/CD and production reliability.
- Work with architects,



product managers and delivery teams to translate requirements into engineering solutions.
- Drive adoption of AI evaluation, guardrails and observability practices.
- Communicate technical progress, risks and delivery status to senior leadership and clients.

Mandatory Skills

Multi-Agentic AI
AI Orchestration
RAG (Retrieval-Augmented Generation)
Robust production/development-side engineering experience

Other Relevant Skills

- GenAI / Generative AI
- LLMs
- Python
- AWS / Azure / Cloud
- Agent frameworks such as LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, Bedrock Agents/Strands or Semantic Kernel
- API development
- CI/CD
- Vector databases
- Prompt engineering
- AI evaluation, guardrails and observability

Candidate Profile

- 10+ years of hands-on software engineering experience.
- Strong development/production engineering background.
- Demonstrated experience managing and leading engineering teams.
- Strong hands-on experience with Agentic AI, GenAI/LLM and RAG systems.
- Experience building and deploying production-grade AI solutions.
- Strong technical leadership and delivery ownership.
- Ability to remain technically involved while managing the engineering team.

Preferred: Experience with distributed/hybrid teams, enterprise integrations, fine-tuning/open-weight models, Middle East stakeholders and relevant AWS/Azure certifications.

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