Requisition Number: 2347520 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 to start Caring. Connecting. Growing together. We are seeking a highly skilled Solution Architect focused on Digital, AI & Data Transformation. Architect will lead the design, development, and implementation of next-generation Optum Bank's Digital, data and AI systems. This role combines deep hands-on engineering with strategic architecture, focusing on modern data transformation pipelines, small language models (SLMs), AI frameworks, and AI/ML solutions such as fraud detection, lending underwriting models, Operational Agents, and others. The ideal candidate will influence enterprise-wide engineering practices, using tools like Claude Code, GitHub Copilot, Codex, and AI-driven SDLC automation to significantly elevate developer productivity, velocity, code quality, and application modernization. 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. Primary Responsibilities: - AI & Data Architecture - Architect and lead end-to-end data transformation pipelines, including ingestion, normalization, quality, feature engineering, and real-time processing - Design and implement Small Language Models (SLMs) optimized for domain-specific tasks such as customer interactions, document understanding, or process automation - Build and maintain AI frameworks enabling scalable training, inference, experiment tracking, observability, and model governance - Architect and deploy AI Agents capable of orchestration, reasoning, planning, and workflow automation across enterprise systems - Develop and operationalize AI/ML models including: - Fraud detection (transaction scoring, anomaly detection) - Lending underwriting (risk modeling, creditworthiness, scoring pipelines) - Personalization, recommendation, NLP, forecasting, and more - Technical Leadership & Hands-On Engineering - Lead technical design sessions, conduct POCs, and build reference architectures and reusable frameworks - Write high-quality, production-grade code in languages such as Python, Java, Scala, or TypeScript - Partners with data engineering teams to optimize Datalake/Lakehouse house, distributed computing, and feature engineering architectures - Evaluate emerging AI/ML technologies and drive adoption of best-fit solutions - AI-Driven Developer Productivity - Leverage Claude Code, GitHub Copilot, and similar AI-assisted development tools to: - Increase developer velocity - Improve code quality and consistency - Automate documentation, testing, and code review workflows - Reduce time-to-market for complex transformation initiatives - Evangelize AI-powered engineering patterns and train teams on effective usage - Application Modernization & Transformation - Guide modernization of legacy systems into cloud-native, AI-native applications - Define patterns for integrating AI agents, LLMs, and SLMs into operational applications and microservices - Collaborate with platform teams to ensure efficient infrastructure, MLOps, CI/CD, and model deployment workflows - Governance, Risk & Compliance - Ensure responsible AI practices including fairness, explainability, model monitoring, ethics, and regulatory alignment (eg, lending compliance) - Implement robust evaluation and drift detection frameworks - Cross-Functional Collaboration - Influence senior leaders, product teams, and engineering stakeholders on AI strategy and roadmap - Act as technical mentor and thought leader across AI and data domains 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 in software engineering, data engineering, or machine learning - 3+ years designing large-scale data transformation or AI architectures - Hands-on experience with: - Development skills in Java, Net, SQL Server / Oracle, Databrick, Power BI - AI/ML frameworks: PyTorch, TensorFlow, Scikit-learn - LLMs & SLMs: Llama models, Claude, custom SLM training - Data & compute: Spark, Databricks, Flink, Kafka, Datalake/Lakehouse architecture - Cloud platforms: Azure, AWS, or GCP - Experience building or integrating: - AI Agents - Vector databases (FAISS, Pinecone, Chroma) - Retrieval-Augmented Generation (RAG) systems - Proven solid skills in Python, SQL, and distributed systems Preferred Qualifications: - Experience building enterprise-grade AI platforms or ML Ops frameworks - Expertise in fraud, risk, underwriting, or financial modeling - Hands-on experience with AI coding tools (Claude Code, Copilot, Codex) - Architectural leadership in cloud migration or application modernization Soft Skills: - Solid communication and storytelling, capable of influencing architecture decisions - Ability to simplify complex concepts for non-technical stakeholders - Execution-driven, collaborative mindset with a focus on business outcomes *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Role Description This is a remote position. We are looking for an experienced Oracle ERP Architect to lead the architecture, design, and governance of Oracle Fusion Cloud (Finance & SCM) solutions across the enterprise. This role will be responsible for defining scalable ERP architecture, driving transformation initiatives, and ensuring alignment between business strategy and technology landscape. The ideal candidate brings a strong mix of functional expertise, technical depth, and enterprise architecture experience. - Own and define end-to-end Oracle ERP architecture across Finance and SCM domains - Translate business strategy into scalable, secure, and future-ready ERP solutions - Lead solution architecture, design authority, and governance across programs - Drive architecture for implementations, rollouts, and transformation initiatives - Define and standardize architecture frameworks, best practices, and design principles - Architect and oversee integrations using Oracle Integration Cloud (OIC), REST/SOAP APIs, and middleware - Define data migration and data governance strategies, including FBDI and reconciliation models - Ensure performance, scalability, security, and compliance of ERP systems - Lead architecture reviews, solution discussions, and stakeholder workshops - Collaborate with business leaders, IT teams, and vendors to drive enterprise-wide ERP strategy - Guide teams on extensions, customizations (VBCS/Redwood), and reporting architecture - Mentor teams and provide technical and functional direction across projects - Identify opportunities for automation, optimization, and continuous improvement Qualifications - Bachelor’s Degree in Computer Science, IT, Engineering, or related field - 10–15+ years of ERP experience - 5+ years of hands-on experience in Oracle Fusion Cloud - Proven experience in architecting and delivering multiple Oracle Fusion implementations - Experience in enterprise architecture or solution architecture roles Requirements - Technical & Architectural Expertise - Oracle Integration Cloud (OIC) - REST / SOAP APIs and integration patterns - Data migration (FBDI, reconciliation frameworks) - Oracle Fusion reporting & BI tools - Strong understanding of Oracle Fusion architecture (VBCS, Redwood, extensions) - Knowledge of SQL / PL-SQL / Java / Python - Experience with Oracle Cloud Infrastructure (OCI) - Understanding of cloud architecture, integrations, and enterprise systems landscape Leadership & Competencies - Strong stakeholder and executive communication skills - Ability to influence architecture decisions at enterprise level - Experience working with cross-functional and distributed teams - Strong problem-solving and strategic thinking ability - Ability to manage multiple initiatives and priorities

Role Description Our synergetic Ethos IT Team is growing and seeking a full-time Data Architect (REMOTE) to lead the modernization of our enterprise data environment. This role will be responsible for designing and implementing scalable, cloud-based data architecture, transitioning from on-prem systems to AWS, and enabling advanced analytics and AI capabilities across the organization. Our ideal candidate is a forward-thinking Data Architect who thrives on modernizing data environments and building scalable, cloud-based solutions that support advanced analytics and AI. They bring deep technical expertise, strong collaboration skills, and a proactive, solutions-oriented mindset to drive data strategy and innovation. Key Responsibilities - Data Architecture & Modernization – Lead transition from Microsoft SQL Server to AWS Aurora (PostgreSQL-compatible) and drive overall data strategy. - Cloud & Database Management – Architect and manage AWS database services (Aurora, RDS, DMS). - AI & Data Innovation – Implement vectorized data storage solutions to support machine learning and generative AI use cases. - Data Modeling & Integration – Develop and maintain logical and physical data models aligned with business needs. - Performance Optimization – Monitor, tune, and ensure high-performing database environments. - Data Governance & Security – Establish frameworks for compliance, security, and data integrity. - Cross-Functional Collaboration – Partner with engineering, analytics, and business teams. - Technical Leadership – Mentor team members and contribute to strategic architecture decisions. - Documentation & Standards – Maintain architecture documentation, standards, and best practices. Qualifications - A Bachelor's degree in Computer Science, Information Technology, or a related field. Relevant experience may be a substitute for formal education. - Minimum of 10+ years of SQL database design, development, and administration (required). - Experience with AWS database services (Aurora, RDS, DMS) (required). - Background supporting AI/ML workflows in enterprise environments (required). - Experience in insurance, claims, or investigative services (preferred). - Experience working with sensitive data environments (e.g., HIPAA). - AWS Certified Database Specialty or AWS Solutions Architect (preferred). - Advanced expertise in Microsoft SQL Server (T-SQL, SSIS, SSRS) and PostgreSQL. - Strong knowledge of data modeling, ETL processes, and data warehousing. - Experience with vector databases (e.g., OpenSearch, pgvector, Pinecone). - Understanding of data security, privacy, and disaster recovery. - Strong communication and cross-functional collaboration skills. Working Conditions - This is a primarily remote position working in a home office environment, with a preference for candidates able to work within Eastern or Central Time Zone business hours. - The role requires prolonged periods of sitting or standing while operating a computer and other office equipment. - Occasional travel may be required, including overnight stays. - Frequent communication with team members, clients, and stakeholders is expected.

Role Description Our synergetic Ethos IT Team is growing and seeking a full-time AI Solution Architect (REMOTE) to design, implement, and scale enterprise-level artificial intelligence solutions within the insurance claims space. This role will focus on building cloud-based AI systems on AWS, driving innovation across claims automation, fraud detection, and operational efficiency, while ensuring strict compliance with data privacy regulations. Our ideal candidate is a hands-on AI professional who thrives in agile environments and collaborates effectively across teams to deliver secure, scalable, and explainable solutions that drive performance, accuracy, and customer trust. Key Responsibilities - AI Solution Architecture: Design and implement scalable AI and machine learning solutions using AWS (including Amazon Bedrock) to support claims processing, automation, and fraud detection. - Data Privacy & Compliance: Ensure all AI systems adhere to regulatory standards (HIPAA, PCI DSS), with proper handling of PII and PHI. - Cross-Functional Collaboration: Partner with data scientists, engineers, and business stakeholders in an agile (Scrum) environment to deliver sprint objectives and production-ready solutions. - Model Deployment & MLOps: Build and maintain data pipelines, deployment frameworks, and monitoring systems to support continuous model improvement. - Business Translation: Convert business needs and compliance requirements into effective, scalable AI system designs. - AI Governance: Provide guidance on responsible AI practices, model governance, and data lifecycle management. - Enterprise Alignment: Collaborate with enterprise architects to ensure alignment with existing data architecture, cloud infrastructure, and security frameworks. Qualifications - Education: Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field (preferred). Relevant experience may be a substitute for formal education. - Experience: - Minimum of 10+ years of experience in AI system design, cloud architecture, or enterprise software engineering (required). - Strong hands-on experience with AWS AI/ML services, including Amazon Bedrock, SageMaker, Lambda, and API Gateway (required). - Strong experience deploying AI/ML models into production environments (required). - Extensive hands-on experience developing using Agentic AI IDEs such as Kiro and/or Claude Code (required). - Experience in insurance, claims, or investigative services (preferred). - Experience working with sensitive data environments (e.g., HIPAA and PCI DSS). - Certifications: AWS Certified Database Specialty or AWS Solutions Architect (preferred). - Skills: - Proficiency in Python and ML frameworks such as TensorFlow or PyTorch. - Experience with MLOps, CI/CD pipelines, and infrastructure-as-code (Terraform or CloudFormation). - Strong understanding of data pipelines, model deployment, and performance monitoring. - Ability to translate business requirements into scalable AI system designs. - Excellent communication, stakeholder management, and problem-solving skills. Working Conditions This is a primarily remote position working in a home office environment, with a preference for candidates able to work within Eastern or Central Time Zone business hours. The role requires prolonged periods of sitting or standing while operating a computer and other office equipment. Occasional travel may be required, including overnight stays. Frequent communication with team members, clients, and stakeholders is expected.