AI/ML Engineer WFH
Company: Torentify
Location: Location not specified (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-11-10
About this role
About the Company
Optum Tech is a global healthcare technology organization focused on developing solutions that help people live healthier lives and improve how the healthcare system works. Its teams use data analytics, artificial intelligence, cybersecurity, and other innovative technologies to address complex healthcare challenges. Optum is committed to advancing responsible, people-led AI while caring, connecting, and growing together.
About the Role
Optum Tech is seeking a Principal AI/ML Engineer for its GTS team. This is a director-level, hands-on technical leadership position with enterprise-wide influence. The role involves researching, designing, building, and deploying enterprise AI solutions for healthcare applications and workflows.
As a senior individual contributor, you will write production code, solve complex engineering challenges, and oversee delivery from early experimentation through secure and reliable production operations. You will work closely with CIO-level executives and senior business and technology leaders to turn strategic priorities into practical AI solutions.
The position covers generative AI, large language models (LLMs), agentic systems, retrieval-augmented generation (RAG), and applied machine learning. You will also use LLM-assisted coding tools while maintaining high standards for security, correctness, maintainability, and responsible AI.
Key Responsibilities
- Partner directly with CIO-level executives and senior leaders to identify valuable AI opportunities, clarify business constraints, and establish technical priorities.
- Present working solutions, research findings, delivery options, risks, and recommendations in clear, decision-oriented language.
- Lead rapid applied research and experimentation to evaluate emerging models, agent architectures, frameworks, and AI development tools.
- Establish baselines and success criteria, test feasibility using representative data, and make evidence-based build, bu...