Requisition Number: 2348443 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. Optum Health is a patient-centered care organization serving communities nationwide by enabling high-quality, fully accountable, value-based care as part of Optum's mission to help millions of people live healthier lives. The work you do with our team directly improves health outcomes by connecting people with the care, resources, and support they need to feel their best. Join us to start Caring. Connecting. Growing together. Position Summary As a Senior AI/ML Engineer within the Optum Health & Financial Tech AI team, you will design and build enterprise-scale generative AI applications and agentic workflows that solve complex health and financial technology challenges. You will collaborate with cross-functional partners to develop multi-step reasoning systems, implement advanced Retrieval-Augmented Generation (RAG) pipelines, and craft responsive, full-stack experiences using modern frameworks like React, Next.js, Python, and PostgreSQL. By deploying innovative AI technologies safely and responsibly, you will directly support our mission of delivering impactful, context-aware digital solutions that improve health outcomes and operational efficiency. 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: - Design, develop, and deploy enterprise-scale AI-powered solutions and LLM-powered applications using modern GenAI frameworks and APIs with an emphasis on the responsible use of AI - Develop agentic AI workflows, multi-step reasoning systems (with tool usage and memory), and advanced Retrieval-Augmented Generation (RAG) pipelines - Design and develop responsive frontend applications using React and Nextjs, and build backend services, APIs, and microservices using Python and Nodejs - Build systems for document ingestion, chunking, embeddings, semantic search, and advanced retrieval strategies (hybrid search, GraphRAG, contextual enrichment) - Design and optimize relational data models using PostgreSQL and integrate vector databases with relational data sources for contextual responses - Define end-to-end architecture spanning frontend, backend, AI, and data layers, ensuring performance, scalability, and reliability - Lead technical decision-making, design reviews, and code reviews, while mentoring junior engineers in AI engineering and full-stack best practices - Use enterprise-approved AI tools to streamline developer workflows, automate tasks, and drive continuous improvement across the development lifecycle - Evaluate emerging AI trends, frameworks, tools, and technologies to inform solution design, strategic innovation, and technical direction - Collaborate with product, business, and engineering teams to translate complex business requirements into scalable technical designs, communicating complex AI concepts to non-technical stakeholders 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: - Bachelor's degree or equivalent experience (such as an additional 4+ years of software development experience in lieu of a degree) - 6+ years of professional experience in software engineering or AI/ML engineering - 4+ years of hands-on experience with frontend technologies (React, Nextjs) and backend development (Python or Nodejs, and REST APIs) - 3+ years of experience with relational database design and optimization using PostgreSQL - 2+ years of experience building and deploying end-to-end Generative AI and LLM-powered applications in production - 2+ years of experience designing and implementing RAG (Retrieval-Augmented Generation) pipelines, including semantic search, embeddings, and vector databases - 1+ years of experience with AI orchestration frameworks (such as LangChain, LangGraph, or CrewAI) or developing agentic, multi-agent AI workflows Preferred Qualifications: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field - Experience implementing hybrid search strategies, GraphRAG, and contextual enrichment patterns for document retrieval - Deep understanding of distributed systems, microservices architecture, and enterprise application scalability - Solid expertise in designing AI evaluation metrics and establishing safety guardrails for reliable model outputs - Proven ability to mentor engineering teams, lead technical design reviews, and establish best practices in full-stack and AI development - Proven excellent cross-functional communication skills, with the ability to translate complex technical AI concepts into clear business insights for stakeholders *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 $120,100 - $214,500 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. #OptumTechPJ

Requisition Number: 2362665 Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. This role is a senior, hands-on AI/ML engineering position focused on building, enhancing, and integrating Machine Learning and Generative AI solutions within Databricks. Working in office if based in MSP or DC Primary Responsibilities: - Designing and implementing ML models - Creating custom embeddings - Building RAG pipelines - Implementing vector databases - Developing agentic workflows with LangChain - Integrating AI into enterprise applications for Claims Payment Integrity (PI) - The role partners closely with Data Scientists, Product Teams, and Platform Teams to deploy AI-driven intelligence across PI use cases - Contribute to experimentation with novel ML and Generative AI architectures - Create and maintain embedding models (domain-specific embeddings, document/text embeddings) - Support Retrieval-Augmented Generation (RAG) solutions, including semantic search, vector databases, and LLM integration - Help design and implement AI-powered enterprise applications - Analyze large datasets to identify trends, patterns, and actionable insights - Partner with AI/ML Engineers and Leads to enhance existing models and improve model accuracy and performance - Optimize AI pipelines for scalability, performance, reliability, and cost efficiency - Integrate AI/ML solutions into enterprise systems by partnering closely with data engineering, product, and platform teams - Collaborate effectively with cross-functional teams and stakeholders, communicating complex technical concepts clearly - Contribute to skill development for engineers and interns in AI/LLM techniques - Comply with company policies, procedures, and directives 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: - Bachelor's/Master's in CS, Engineering, Mathematics/Statistics, or related - 5+ years of experience as a Data Scientist - 5+ years of relevant experience, including strong ML end to end model development (data prep → feature creation → training → evaluation) - 5+ years of experience with Python, Scala, SQL - 3+ years of Databricks, Spark - 2+ years of experience with LLM & GenAI Skills: - Creating custom embedding models - Building RAG pipelines - Vector DBs & semantic search - Using LangChain for agentic workflows (tools, agents, memory) - Experience with OpenAI/Azure OpenAI APIs - Experience with Azure cloud for compute, security, and resource management - CI/CD familiarity using Git, GitHub Actions/Jenkins, Terraform - Excellent communication and partnership skills - Experience with Actuarial, Risk and Forecasting Models Preferred Qualifications: - Experience with healthcare claims data - Experience with Azure, Databricks, Snowflake, LLMs and/or similar tools - Demonstrated problem-solving, and analytical thinking skills - Demonstrated organizational skills with ability to be flexible and work with ambiguity 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.

Title: Senior Software Engineer, AI and ML Platforms Location: US - California - San Jose Job Description: Full time job requisition id JR101822 By joining Bio-Techne, you’ll join a company with a powerful and positive purpose of enabling cutting-edge research in Life Sciences and Clinical Diagnostics. Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent disease worldwide. Pay Range: $132,400.00 - $217,600.00 Bio-Techne develops innovative software and instrumentation solutions that help scientists generate accurate, reproducible biological data at scale. As our software portfolio evolves toward SaaS-based delivery models, we are embedding AI-driven intelligence directly into our platforms to improve usability, automation, and scientific insight. This Senior Software Engineer role sits at the intersection of AI engineering, cloud-native microservices, and enterprise SaaS platforms. You will lead the design and implementation of scalable backend services that power AI-enabled features across Bio-Techne software products. This role is ideal for an experienced engineer who enjoys owning architecture, mentoring others, and delivering production-grade systems used in regulated scientific environments. This is a hybrid position based out of our San Jose, CA site. Responsibilities: - Lead the design and development of cloud-native, microservices-based backend systems supporting Bio-Techne software products - Design, build, and deploy AI-powered services, including LLM-based assistants, recommendations, and automation workflows - Develop scalable REST and event-driven APIs that integrate AI services with instrument software and customer-facing applications - Architect and implement Retrieval-Augmented Generation (RAG) pipelines over scientific, operational, and customer data - Partner with central IT, Enterprise Data, and Infrastructure teams to align AI services with shared platform standards. This includes MLOps practices, data access governance, observability frameworks, and security controls, ensuring that POC work can be reliably promoted to production environments. - Establish and maintain MLOps practices for model versioning, evaluation, monitoring, and retraining — ensuring AI services degrade gracefully and remain reliable over time. - Collaborate with product management, scientists, and UX teams to translate scientific workflows into AI-driven software capabilities - Ensure reliability, observability, security, and performance of distributed services operating in production environments - Drive technical standards for code quality, service ownership, and system architecture - Mentor junior engineers and contribute to design reviews, code reviews, and technical decision-making - Document system architecture, APIs, and operational considerations for internal and cross-functional stakeholders Qualifications Education & Experience: - B.S. in Computer Science, Software Engineering, or related technical field and 7+ years of relevant experience developing and operating production-grade software systems - Or, M.S. in Computer Science, AI/ML, or related discipline and 5+ years of relevant experience - Or, equivalent combination of relevant education and experience Knowledge, Skills, and Abilities: - Strong proficiency in Python, Java, or similar backend languages with hands-on microservices experience - Demonstrated experience designing and operating cloud-native SaaS platforms - Experience building RESTful APIs using frameworks such as FastAPI, Flask, or Spring Boot - Hands-on experience integrating AI/ML or LLM-based services into real-world applications - Solid understanding of distributed systems, asynchronous processing, and service-to-service communication - Experience with containerization (Docker) and CI/CD pipelines - Strong written and verbal communication skills, including experience working across engineering and scientific teams - Strong ability to understand how systems work under the hood, with the ability to reason about and implement the underlying algorithms, evaluate the tradeoffs, and build new capabilities - Demonstrated ability to implement ML or information-retrieval algorithms; not solely through high-level frameworks (examples: custom retrieval, ranking and re-ranking strategies, embedding and chunking approaches, evaluation pipelines, or inference-time optimizations) - Demonstrated track record of designing and building novel systems or components, rather than primarily integrating off-the-shelf tools - Strong computer-science fundamentals: data structures, algorithmic complexity Preferred Qualifications: - Experience with cloud platforms such as AWS or Azure - Familiarity with Kubernetes and multi-service deployment strategies - Experience managing the ML lifecycle, including but not limited to EDA, feature engineering, model training/tuning, validation, deployment, and maintenance - Experience with vector databases (pgvector, FAISS, Pinecone, or similar) - Experience with RAG frameworks such as LangChain or LlamaIndex - Exposure to scientific software, laboratory instrumentation, or regulated environments (GxP) - Experience designing systems with multi-tenant SaaS considerations and feature-based licensing Why Join Bio-Techne: - We offer competitive insurance benefits starting on day one: medical, dental, vision, life, short-term disability, long-term disability, pet, and legal and ID shield. - We invest in our employees’ financial futures through 401k plans, an employee stock purchase plan (ESPP), Health Saving Account (HSA), Flexible Spending Account (FSA), and Dependent Care FSA. - We empower our employees develop their careers through mentorship, promotional opportunities, training and development, tuition reimbursement, internship programs, and more. - We offer employee resource groups, volunteer paid time off, employee events, and charity drives to build a culture of caring and belonging. - We offer an accrued leave policy with paid holidays, paid time off, and paid parental leave. - We foster a culture of empowerment and innovation, where employees feel valued and encouraged to bring their new ideas to the table. Bio-Techne is an E-Verify Employer in the United States. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. To protect the interests of all, Bio-Techne will not accept unsolicited resumes from any source other than a candidate application. Any unsolicited resumes sent to Bio-Techne will be considered Bio-Techne property. If you require a reasonable accommodation to complete an application, participate in an interview, or take part in any other stage of the recruitment process.

• Design, develop, and deploy AI/ML solutions to modernize core pharmacy platforms, with a focus on scalability, reliability, performance, and security • Leverage Generative AI, LLMs, and agentic AI frameworks to automate and enhance pharmacy workflows and decision-making processes • Collaborate with business and technical stakeholders to understand pharmacy domain requirements and translate them into robust AI/ML-driven technical solutions • Contribute to architecture and technical design of AI/ML pipelines, including model selection, data integration, and deployment patterns • Establish and maintain AI/ML engineering standards, best practices, and quality assurance processes • Conduct code reviews, provide constructive feedback, and mentor engineers on modern AI/ML engineering practices • Partner with cross-functional teams including data scientists, product managers, platform engineers, and pharmacy domain experts • Translate legacy system modernization needs into scalable AI applications that enhance products, workflows, and operational efficiency • Monitor and optimize AI/ML model performance, resource utilization, and platform reliability • Collaborate with DevOps and infrastructure teams to ensure secure, scalable deployment and operations of AI/ML solutions • Stay current with advancements in AI/ML frameworks, Generative AI, LLMs, and pharmacy technology modernization