Sr AI Engineer

Ecolab; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Ecolab in Bengaluru, India, seeks a GenAI Architect to own architecture and delivery of AI-powered systems integrating LLMs, multi-agent workflows, and embedding-powered retrieval. You will guide cross-functional pods, set engineering standards, and drive scalable, production-grade intelligent applications while leading associates.

Degree and 8–10 years experience required; reports to AI Engineering Manager.

Qualifications

• Degree required with 8–10 years of relevant experience.

Responsibilities

• Own architecture and delivery of GenAI-based systems.
• Guide cross-functional pods and define engineering standards.
• Drive innovation through scalable, production-grade intelligent applications.
• Lead a team of associates with functional and admin responsibilities.

Skills

GenAI architecture

LLMs

Team leadership

Cross-functional collaboration

System design

Education

Bachelor's degree

Job description

Job Characteristics: Own the architecture and delivery of GenAI-based systems that integrate large language models (LLMs), multi-agent workflows, and embedding-powered retrieval solutions. Guide cross-functional pods, define engineering standards, and drive innovation through scalable, production-grade intelligent applications. You will lead a team of associates both functionally and admin responsibilites.

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

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

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.