Engineering Manager – AI

Vaisesika; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Vaisesika is seeking an experienced Engineering Manager - AI to lead AI/ML/GenAI engineering teams and drive enterprise AI solutions.

The role requires a strong technical background and hands-on management, overseeing architecture, development, testing, deployment, and production support, while collaborating with Product, Data Science, and business stakeholders to deliver scalable, cost-efficient AI systems.

Qualifications

• 10+ years of IT experience with engineering management.
• Proven experience leading software/AI/ML engineering teams.
• Hands-on background in AI/ML/Generative AI projects.
• Strong SDLC, architecture, APIs, cloud, CI/CD, and DevOps knowledge.
• Excellent communication and stakeholder management.

Responsibilities

• Lead AI/ML/GenAI engineering teams to deliver enterprise AI solutions.
• Provide hands-on engineering leadership across architecture, design, development, testing, deployment and production support.
• Establish and drive Agile/Scrum practices including sprint planning, backlog refinement, stand-ups, reviews and retrospectives.
• Mentor engineers and technical leads and build high-performing engineering teams.
• Collaborate with Product Managers, Data Scientists, AI/ML Engineers, Architects and business stakeholders.
• Drive technical roadmap and engineering strategy for AI initiatives.

Skills

Engineering Management

AI/ML leadership

Agile/Scrum

Software engineering

Communication

Job description

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 strong 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.
• 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.