Job SummaryPlatform Engineer III

Lead the deployment and solutioning of Generative AI and agentic systems in customer environments by owning end-to-end implementation across integration, testing, and stabilization phases. Collaborate with architects, product, and platform teams to design and deliver scalable, reliable, and production-grade AI solutions, ensuring adherence to standards, governance, and performance expectations.

Key Responsibilities

- Lead end-to-end customer deployments across pilot, stabilization, and production phases.
- Design and implement AI solution architectures, including APIs, workflows, integrations, and orchestration layers.
- Build and optimize RAG pipelines, agent workflows, and orchestration frameworks for real-world use cases.
- Define and execute testing, validation, and evaluation frameworks to ensure solution quality and performance.
- Monitor system performance and proactively identify, diagnose, and resolve issues across system layers.
- Work across data, APIs, and platform components to ensure scalable and resilient system integration.
- Drive best practices for safety, governance, and responsible AI implementation across deployments.
- Create reusable solution patterns, accelerators, and documentation to improve delivery efficiency.
- Collaborate with cross-functional teams (engineering, platform, support, product)



to align solution design and execution.
- Lead debugging and troubleshooting efforts across production systems, ensuring timely resolution.
- Mentor and guide FDE I, II, and III engineers, contributing to team capability building.

Skill Requirements

- Strong expertise in Python and software engineering best practices.
- Deep understanding of APIs, microservices, and distributed system integration.
- Hands-on experience with cloud platforms (Azure / AWS / GCP) and deployment architectures.
- Proven experience working with Generative AI / LLM-based systems in production environments.
- Strong problem-solving and system-level debugging skills.
- Effective communication skills, including ability to engage with customer and internal stakeholders.

Other Requirements

- Experience with OpenAI / Azure OpenAI or similar APIs.
- Robust knowledge of RAG architectures, prompt engineering, and evaluation frameworks.
- Hands-on experience with agent frameworks (LangChain, LangGraph, AutoGen, etc.).
- Familiarity with vector databases, data pipelines, and large-scale data handling.
- Experience with observability, monitoring, and performance optimization tools.
- Exposure to cost, performance, and reliability optimization for AI systems.

📌 Platform Engineer III (India)
🏢 HCL Technologies
📍 India