As a Lead AI Engineer, you will own the architecture and delivery of GenAI-based systems that integrate large language models (LLMs), multi-agent workflows, and embedding-powered retrieval solutions.

Company: Ecolab

Role: Lead AI Engineer

Location: Bangalore, Karnātaka, India

Experience:

6 to 8+ years of experience in software, AI, or ML engineering roles
Proven experience leading the technical delivery of LLM-powered products or agent-based solutions

Qualification:

Strong technical foundation in Python and modern backend engineering patterns
Hands-on experience with Azure OpenAI, Azure AI Studio, Semantic Kernel, LangChain, AutoGen, or equivalent platforms and orchestration frameworks

Role Focus: • Architect enterprise-grade GenAI systems using modular LLM APIs, agent orchestration frameworks, and embedding pipelines • Design and implement autonomous agent workflows with context management, multi-agent coordination, and task delegation • Optimize performance, latency, and accuracy through experimentation with prompt strategies, retrieval layers, and caching logic • Lead solution reviews, enforce prompt safety and governance, and ensure alignment with security protocols • Collaborate with platform, product, and engineering leads to define reusable patterns and scalable AI capabilities • Guide engineering pods on GenAI design principles, system reliability, and prompt lifecycle management • Build and maintain reusability assets — SDKs, templates, shared agent logic — to accelerate delivery velocity across teams

Nice to have:

Experience leading the design or implementation of agentic AI workflows involving multi-step reasoning, tool orchestration, and reusable orchestration patterns
Experience with Microsoft AI Foundry, Azure Machine Learning, Azure AI / Copilot Studio, or equivalent platforms used for enterprise AI solution development and experimentation
Familiarity with enterprise integration and application ecosystems, including AI integration with APIs, workflow platforms, and downstream business systems
Experience contributing to reusable GenAI accelerators, prompt libraries, orchestration templates, internal AI developer platforms, or engineering toolkits
Familiarity with AI governance, safety, observability, and cost-management tooling, including token usage analytics, quality evaluation, and guardrail implementation
Experience supporting technical direction for other engineers through architecture reviews, implementation guidance, and technical mentoring
Ability to communicate complex technical decisions clearly to both engineers and non-technical stakeholders

More skills:

modern backend engineering patterns, GitHub, Application Insights, OpenTelemetry, Azure Monitor, Datadog, New Relic

Other:

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.

Lead AI Engineer

Skills Required

Description

Experience:

Qualification:

Nice to have:

More skills:

Other:

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