Principal Architect - Remote
Hartford, Hartford County, Connecticut, 06112, USA
Listed on 2026-10-28
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Software Development
AI Engineer (Applied/Software), Software Architect
Improve the lives of others while Caring. Connecting. Growing together.
Job Description
- Principal Architect
- Remote (2386731)
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives.
Ready to build the next breakthrough? Join us in making healthcare work better for everyone through people-led, responsible AI while Caring. Connecting. Growing together.
As part of the Optum Health Financial Tech team, the Architect will define and own the end-to-end architecture for AI-enabled and Generative AI solutions aligned with business outcomes, scalability, security, and enterprise compliance. In this role, you will design reference architectures for LLM-based systems (including prompt orchestration, Retrieval-Augmented Generation [RAG], and agent frameworks), evaluate foundation models and AI platforms, and integrate advanced AI capabilities into existing microservices and event-driven data platforms.
You will serve as the technical authority across cross-functional engineering teams to drive AI innovation, enforce Responsible AI principles, and deliver scalable, high-performance solution designs.
You’ll enjoy the flexibility to work remotely
* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
- Define and own end-to-end architecture for AI-enabled and Generative AI solutions aligned with business outcomes, scalability, security, and enterprise compliance
- Design reference architectures for LLM-based systems, including prompt orchestration, RAG (Retrieval-Augmented Generation), agent frameworks, and model integration patterns
- Evaluate and recommend AI platforms, foundation models, and tooling (e.g., Azure OpenAI, vector databases, model gateways) based on use-case fit and enterprise standards
- Translate business and product requirements into scalable AI solution designs covering data ingestion, embeddings, model inference, orchestration, and enterprise integration
- Architect AI-driven workflows that integrate seamlessly with existing microservices, data platforms, APIs, and event-driven systems (e.g., Kafka, Databricks)
- Embed Responsible AI principles—including privacy, fairness, explainability, model risk management, prompt guardrails, and auditability—into solution designs
- Provide hands-on architectural guidance, technical oversight, and performance tuning for complex AI implementations across onshore and offshore teams
- Promote AI-assisted development practices using enterprise tools to enhance developer productivity, code quality, and test coverage
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:- 8+ years of experience translating complex business requirements into scalable, secure, and high-performance software architectures
- 6+ years of experience in software engineering with at least 3+ years in a Technical Architect or Solution Architect role
- 6+ years of experience working with Java, Spring Boot, Microservices, Kafka, APIs, Azure Cloud, Databricks, and relational/non-relational databases (e.g., SQLMI)
- 4+ years of experience with microservices, APIs, event-driven systems, and containerized…
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