Senior Lead Engineer – AI Platform
Waters Corporation3 months ago
India (city not specified)Staff+
Responsibilities
- Build, deploy, and operate AWS-based AI and agent platform services for multi-agent workflow orchestration.
- Develop shared RAG, memory, human-in-the-loop, evaluation, quality, and agent lifecycle capabilities.
- Package and deploy services using infrastructure-as-code and maintain CI/CD and LLMOps/AgentOps pipelines.
- Own monitoring, logging, observability, production reliability, and resolution of platform incidents.
- Apply governance, security, cost, connector-permission, prompt-injection, and agent-attack controls.
- Design reusable service abstractions, templates, SDKs, and documented interfaces for consuming teams.
- Partner with application and agent teams to bring new AI capabilities into production.
- Provide code reviews, mentor junior and mid-level engineers, and support knowledge-sharing across the AI CoE.
- Track AI industry trends and identify opportunities for platform improvement and adoption.
Requirements
- Bachelor’s or master’s degree in computer science, AI/ML, data science, or equivalent practical experience.
- At least 5 years of industry experience in software engineering or machine learning.
- Working knowledge of agent frameworks and architectures such as LangChain, LangGraph, or CrewAI, including RAG and memory.
- Strong programming skills in one or more of Python, Java, Go, Node.js, or TypeScript, with production backend and distributed-systems experience.
- Experience building microservices, event-driven architectures, and versioned REST or GraphQL API contracts.
- Experience with managed cloud services, preferably AWS services such as Bedrock/AgentCore, Lambda, API Gateway, and eventing; GCP or Azure experience is acceptable.
- Hands-on AWS Bedrock AgentCore or equivalent agent-runtime experience is preferred.
- Experience building CI/CD pipelines and applying LLMOps/AgentOps practices to deploy, scale, and monitor LLM-powered services.
- Knowledge of LLM and agent evaluation, golden datasets, LLM-as-judge, groundedness and hallucination metrics, and prompt or agent regression testing.
- Experience with monitoring and logging stacks such as Datadog, Grafana, or the ELK stack.
- Working knowledge of vector databases, memory systems, and human-in-the-loop workflows.
- Strong collaboration and communication skills, with an emphasis on shared standards and reusable solutions.
Tech Stack
Categories
About Waters Corporation
Waters Corporation builds analytical instruments and software for pharmaceutical, biopharma, food and environmental labs, and clinical diagnostics. Its portfolio spans UPLC/HPLC chromatography, mass spectrometry, thermal analysis (TA Instruments), informatics, and analytical standards and reagents, sold alongside service and consumables. Founded in 1958 and headquartered in Milford, Massachusetts, Waters is a public company (NYSE: WAT) with systems used in drug development, quality control, and safety testing worldwide.