# Sundayy — AI/ML Engineer

- Generated: 2026-09-19 09:27:30 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4469516586/
- Provider: LinkedIn
- Posted: approximately 2026-09-19 07:27 AM EDT (from '2 hours ago')
- Elapsed since posting: represented by the provider's relative posting label and approximate Eastern timestamp when available
- Applicants: Be among the first 25 applicants
- Work model/location: Remote — United States; JD identifies the underlying company as Optum Tech
- Compensation: $145,500-$249,500 annually
- Travel: Not disclosed
- Positioning track: Technical IC
- Fit outcome: PASS — 86%

## Direct-match strengths

Enterprise-scale AI application architecture, LLMs, multi-agent systems, RAG, Python, PostgreSQL, regulated healthcare environments, governance, observability, reliability, cloud platforms, Docker/Kubernetes, CI/CD, mentorship, and cross-functional leadership.

## Hard or material gaps

Keith's evidence is stronger in AWS than Azure, and Arize/Phoenix plus React/Next.js are not source-supported. The posting title is down-leveled relative to the AI Solutions Architect mandate, so the resume uses technical IC positioning.

## Evidence map

1. Enterprise AI application architecture (weight 3, evidence 3/3) — Direct production AI platform architecture.
2. LLMs, multi-agent systems, RAG (weight 3, evidence 3/3) — Direct LLM, agents, MCP, RAG, and workflow evidence.
3. Python and PostgreSQL (weight 3, evidence 3/3) — Direct hands-on evidence.
4. Regulated healthcare (weight 2, evidence 3/3) — Direct healthcare/FDA/HIPAA experience.
5. Cloud platforms Azure and AWS (weight 3, evidence 2/3) — AWS is deep; Azure is not source-supported.
6. AI observability Arize/Phoenix (weight 2, evidence 1/3) — Observability is direct; named tools are unsupported.
7. React and Next.js (weight 1, evidence 0/3) — Not source-supported.
8. Remote compensation eligibility (weight 2, evidence 3/3) — Remote and disclosed max exceeds $200K.

## Keyword diagnostic

Strong enterprise AI architecture, healthcare, LLM/RAG/agents, Python, governance, cloud, and platform operations match; Azure, React/Next.js, and named observability tools are caveats.

## Full normalized job description

About The Company
Optum Tech is a global leader in healthcare innovation dedicated to transforming the health system through advanced technological solutions. Our teams develop cutting-edge tools and platforms that enable healthier lives and more efficient healthcare delivery. We leverage state-of-the-art data analytics, artificial intelligence, cybersecurity, and other innovative approaches to address some of the most complex challenges in healthcare today. Our commitment to excellence and continuous innovation positions us at the forefront of the industry, making a meaningful difference in the lives of millions worldwide. Join us to be part of a dynamic environment where your contributions can truly change lives and shape the future of healthcare.
About The Role
We are seeking a highly experienced AI Solutions Architect to lead the design and implementation of enterprise-scale artificial intelligence applications. This role involves defining and guiding AI application architecture for key initiatives such as ECS Big Bets and AI 10.0. The successful candidate will be responsible for ensuring that AI solutions are scalable, secure, compliant, and aligned with business objectives. You will provide thought leadership on emerging AI technologies, develop frameworks for large language models (LLMs), multi-agent systems, and retrieval-augmented generation (RAG) solutions, and collaborate with cross-functional teams including product, engineering, and compliance. Additionally, you will stay hands-on with critical coding tasks, mentor engineering teams, and evaluate new AI tools to future-proof enterprise solutions. This role offers a unique opportunity to influence the strategic direction of AI initiatives within a leading healthcare organization.
Qualifications
10+ years of software engineering experience, with at least 3+ years in AI/ML solution architecture
6+ years of experience in architecting enterprise-scale AI applications, including LLMs, agentic workflows, multi-agent systems, and RAG-based solutions
6+ years of hands-on coding experience in Python
Experience with front-end frameworks such as React and Next.js
Proficiency with database systems like PostgreSQL
Experience designing scalable, secure, and compliant architectures for regulated environments
Knowledge of AI observability tools such as Arize and Phoenix
Strong understanding of performance optimization strategies
Proven expertise in cloud platforms like Azure and AWS
Experience with containerization technologies such as Docker and Kubernetes
Familiarity with CI/CD pipelines and DevOps practices
Preferred: AI Dojo Certification or equivalent advanced AI training
Preferred: Healthcare workflows and enterprise-grade AI deployment experience
Leadership skills in guiding technical teams and mentoring senior engineers
Solid understanding of compliance, governance, and ethical AI standards
Excellent communication and collaboration skills for cross-functional leadership
Responsibilities
Define and lead AI application architecture for ECS Big Bets and AI 10.0 initiatives, ensuring scalability, security, and compliance
Design frameworks and patterns for LLMs, agentic workflows, multi-agent systems, and RAG-based solutions
Provide thought leadership on AI technologies and best practices across the enterprise
Participate hands-on in critical coding, integration, and testing tasks to ensure technical depth and quality
Collaborate with product, engineering, and compliance teams to align architecture with business needs and regulatory standards
Drive performance optimization, observability, and reliability for AI applications
Establish governance standards, documentation practices, and reusable components for AI development
Mentor senior engineers and guide teams on architectural decisions and advanced AI techniques
Evaluate emerging AI tools and frameworks to enhance enterprise solutions and maintain technological relevance
Benefits
Comprehensive health, dental, and vision insurance plans
Competitive salary package with range from $145,500 to $249,500 annually
Incentive and recognition programs
Equity stock purchase options
Retirement plans including 401(k) contributions
Flexible remote work arrangements within the U.S.
Paid time off and holidays
Opportunities for professional development and continuous learning
Equal Opportunity
UnitedHealth Group is an Equal Employment Opportunity employer. We are committed to creating a diverse and inclusive environment where all employees are treated with respect and dignity. Qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, gender, sexual orientation, gender identity, disability, veteran status, or any other characteristic protected by law. We promote a workplace that values diversity and fosters equity, ensuring everyone has the opportunity to succeed and grow within our organization.

## Artifact metadata

- Resume: https://bit.ly/4ruzKz9
- Cover letter: https://bit.ly/4xwYM1W
- Validation: PASS — 2-page resume (954 words), 1-page cover letter (181 words); PDF geometry, bounds, annotations, links, and visual pages verified.
- Google Drive used: No