AI Manager

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

Job summary

Ecolab in Bengaluru seeks a seasoned AI Engineering Leader to head a team delivering GenAI-powered solutions and agentic systems. You will balance people leadership with hands-on program execution to align AI initiatives with business outcomes.

Candidates should have a degree and 8-10 years of experience, reporting to senior AI leadership or an AI Engineering Director. The role emphasizes impact, governance, and cross-functional collaboration.

Qualifications

• Degree required with 8-10 years of relevant experience.
• Experience leading AI/GenAI engineering teams and delivering AI-driven solutions.

Responsibilities

• Lead a team of AI engineers building GenAI-powered solutions and LLM-integrated applications.
• Oversee solution delivery, capability development, and alignment with business outcomes.
• Balance people leadership with deep technical program execution and stakeholder alignment.

Education

Degree and 8-10 years experience

Job description

Job Characteristics: Lead a team of AI engineers building GenAI-powered solutions, agentic systems, and LLM-integrated applications. Responsible for team capability development, solution delivery oversight, and aligning AI initiatives with business outcomes. The role balances people leadership with deep technical program execution and stakeholder alignment.

Education/Work Experience: Degree and 8-10 years experience.

Independence Level/Reports to: Normally reports to Sr AI Manager or AI Engineering Director.

Our Commitment to a Culture of Inclusion & Belonging

Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.