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# Platform Engineer III

- **Company:** HCL America Inc.
- **Location:** Santa Clara, CA, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Software Debugging, Distributed Systems, Python (Programming Language), Performance Tuning, Software Construction, Systems Integration, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Performance Monitor, Data Pipelines, Microservices
- **Published:** August 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=bd984c0b521b023e

## About the Role

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
Strong 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

## Description

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., 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
Participate in customer discussions , providing technical inputs, trade-offs, and solution recommendations


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