Skip to main content
McCarthy Search

Platform Engineer III

L6

hcl technologiesDallas, TX16 days ago

Occupations

Computer Systems Engineers/ArchitectsSoftware DevelopersComputer Systems Analysts

Industries

Computer Systems Design ServicesSoftware PublishersCustom Computer Programming Services
Maximum Salary (US): 150000 Minimum Salary (US): 130000 Job Summary Platform Engineer III Job Summary 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
  • Participate in customer discussions, providing technical inputs, trade-offs, and solution recommendations
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 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
Apply now (opens in a new tab)
Apply now (opens in a new tab)

Level

LeadL6

Location

Dallas, TX

Occupation

Computer Systems Engineers/Architects

Industry

Computer Systems Design Services

Posted

16 days ago

To get sharper similar jobs, create your profile using the link below.

Create profile