• 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
• Stay up to date with advancements in LLM tooling, orchestration abstractions, and prompt optimization techniques

Required Qualifications:

• 6–8+ years of experience in AI/ML engineering, with a strong focus on designing and scaling GenAI applications
• Deep proficiency in Python 3.11+ and experience with LLM APIs, vector databases, embedding generation, and agent coordination
• Hands-on expertise in architecting agent-based workflows using framework-agnostic orchestration patterns
• Proven track record in deploying secure, cost-effective, cloud-native GenAI solutions (preferably in Azure ecosystem)
• Solid grasp of CI/CD, containerization, and model monitoring practices

Preferred Qualifications:

• Exposure to model context protocols (MCP) and autonomous agent-to-agent (A2A) interactions
• Contributor to reusable GenAI accelerators, prompt chaining templates, or internal developer tools
• Familiarity with governance and observability tools for LLM workflows (e.g., cost tracking, safety controls, token usage analytics)
• Ability to simplify and communicate technical decisions to both engineers and non-technical stakeholders

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.