Responsibilities

- 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

- 68+ years of experience in AI/ML engineering,



with a solid 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

📌 Senior Data Scientist (Bengaluru)
🏢 Ecolab Global Services
📍 Bengaluru