We are looking for an experienced Engineering Manager – AI to lead AI/ML/GenAI engineering teams and drive the successful development and implementation of enterprise AI solutions.

The ideal candidate should have a robust technical engineering background combined with hands-on engineering management experience. The candidate will be responsible for leading engineers, managing technical execution, driving Agile/Scrum practices, ensuring engineering quality, and partnering with Product, Data Science, AI/ML and business stakeholders to deliver scalable AI solutions.

The role requires someone who can operate at both technical and people-management levels — understanding AI/ML technologies and engineering practices while actively managing teams, delivery, priorities and technical execution.

Key Responsibilities

- Lead and manage AI/ML/GenAI engineering teams responsible for developing enterprise AI solutions.
- Provide hands-on engineering leadership across architecture, design, development, testing, deployment and production support.
- Manage engineers, technical leads and cross-functional technical teams.
- Drive the complete engineering lifecycle from requirements → design → development → testing → deployment → production.
- Establish and drive Agile/Scrum practices including sprint planning, backlog refinement, stand-ups, reviews and retrospectives.
- Work closely with Product Managers, Data Scientists, AI/ML Engineers, Architects and business stakeholders.
- Review technical designs, solution approaches and engineering decisions.
- Identify and resolve technical risks, dependencies, resource constraints and engineering bottlenecks.
- Ensure engineering teams follow best practices around coding, testing, CI/CD, DevOps,



security, scalability and maintainability.
- Mentor engineers and technical leads and build high-performing engineering teams.
- Participate in hiring, performance management, career development and capability building.
- Drive technical roadmap and engineering strategy for AI initiatives.
- Lead development and implementation of AI/ML, GenAI, LLM, RAG and Agentic AI solutions.
- Ensure AI solutions are production-ready, scalable, reliable and cost-efficient.
- Collaborate with global and senior stakeholders and communicate technical progress, risks and outcomes.
- Drive continuous improvement in engineering processes, productivity and quality.

Required Skills & Experience

- 10+ years of overall IT experience with significant experience in Engineering Management.
- Proven experience managing software/AI/ML engineering teams.
- Strong technical/engineering background, preferably starting as a Software Engineer, AI Engineer, ML Engineer, Data Engineer, Data Scientist or similar technical role.
- Hands-on experience with AI/ML/Generative AI projects.
- Strong understanding of AI/ML engineering lifecycle and production implementation.
- Experience with GenAI, LLMs, RAG, AI Agents or related technologies.
- Strong experience in Agile/Scrum methodologies.
- Experience managing sprint execution, engineering backlogs, priorities and technical dependencies.
- Strong understanding of SDLC, software architecture, APIs, cloud, CI/CD and DevOps.
- Experience with engineering team management, mentoring, hiring and performance management.
- Ability to review and challenge technical designs and guide engineering teams on technical decisions.
- Strong communication, stakeholder management and problem-solving skills.

📌 Engineering Manager – AI (Bengaluru)
🏢 Vaisesika
📍 Bengaluru