Jobs / HCLTech

Platform Engineer III

HCLTech · Dallas, TX, United States
Dallas, TX, United States130,000-150,000 USDRemote
Remuneration
130,000-150,000 USD
Location
Dallas, TX, United States
Visa sponsorship
Not specified

Job summary

The Platform Engineer III role is responsible for leading the deployment and solutioning of Generative AI and agentic systems in customer environments, overseeing the entire implementation process. Key responsibilities include designing AI solution architectures, optimizing RAG pipelines, and collaborating with cross-functional teams to ensure scalable and reliable system integration.

Qualifications

  • 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)
  • Proven experience with Generative AI / LLM-based systems in production environments
  • Strong problem-solving and system-level debugging skills
  • Effective communication skills
  • Experience with OpenAI / Azure OpenAI or similar APIs
  • Strong knowledge of RAG architectures and evaluation frameworks
  • Hands-on experience with agent frameworks (LangChain, LangGraph, AutoGen)
  • Familiarity with vector databases and large-scale data handling
  • Experience with observability and performance optimization tools
  • Exposure to cost, performance, and reliability optimization for AI systems

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 to align solution design and execution
  • Lead debugging and troubleshooting efforts across production systems
  • Mentor and guide FDE I, II, and III engineers
  • Participate in customer discussions, providing technical inputs and solution recommendations

Skills

AWSAzureGCPPython

Relocation

No