Lead AI Platform Engineer — Remote

Taleo

Hartford (CT)

Remote

USD 113,000 - 193,000

Full time

18 hours ago
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Job summary

Optum is seeking a highly experienced Lead Software Engineer to join our UHC E&I Software Development team, driving design, architecture, and delivery of next-generation AI platforms. This role focuses on agentic systems, LLMs, and generative AI, shaping how AI is integrated across products at scale.

You will lead technical strategy, architect scalable, cloud-native AI platforms, and mentor engineers while enabling adoption across teams. Remote work is supported nationwide in the U.S.

Qualifications

  • Bachelor's degree or 8+ years of software engineering experience required.
  • 8+ years of software engineering with deep expertise in full-stack, distributed systems, and scalable architecture.
  • 2+ years of TypeScript and Python for AI agents and orchestration; 2+ years delivering LLM-based or generative AI in production.

Responsibilities

  • Lead the technical strategy, architecture, and execution of enterprise AI initiatives.
  • Design and implement scalable, secure AI platforms and LLM-based applications.
  • Mentor engineers and promote best practices across teams.
  • Define reference architectures, engineering standards, and governance for AI platforms.
  • Collaborate with product/architecture stakeholders to translate strategy into AI-enabled solutions.

Skills

TypeScript
Python
AI platform design
Cloud platforms
LangChain
LangGraph
LLMs
Distributed systems

Education

Bachelor's degree or equivalent experience

Tools

LangGraph
LangChain
Vector databases
Orchestration frameworks

Job description

Optum is seeking a highly experienced Lead Software Engineer to join our UHC E&I Software Development team, driving design, architecture, and delivery of next-generation AI platforms. This role focuses on agentic systems, LLMs, and generative AI, shaping how AI is integrated across products at scale.

You will lead technical strategy, architect scalable, cloud-native AI platforms, and mentor engineers while enabling adoption across teams. Remote work is supported nationwide in the U.S.

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