AI Staff Engineer

Job description

Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the “12 Angry Seniors.” Their mission continues to guide everything we do. Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults. Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity. At SCAN, we believe scale should strengthen—not dilute—our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve. The Job: As an AI Engineer, you will design, build, and optimize enterprise AI solutions that improve how the organization operates, makes decisions, and serves its members. Your responsibilities span developing AI applications, building secure and scalable data and automation pipelines, and supporting production-ready AI systems. You will collaborate across business, data, security, compliance, and technology teams to translate business needs into practical AI solutions, apply responsible AI practices, and deliver measurable value through innovation, automation, and continuous improvement. You Will: AI Solution Design & Engineering Design, build, and maintain AI-powered applications, services, and workflows that address enterprise business needs. Translate business requirements into scalable technical designs, prototypes, and production-ready solutions. Apply software engineering best practices for reliability, maintainability, documentation, and secure deployment. LLM & Agentic AI Implementation Develop and integrate AI capabilities using large language models, embeddings, prompt engineering context engineering, and agentic frameworks. Build AI assistants, automation tools, and agentic workflows that improve productivity and operational outcomes. Evaluate model behavior, output quality, performance, and fit-for-purpose use across enterprise scenarios. Data, Integration & Retrieval Engineering Build and maintain data pipelines, API integrations, and retrieval patterns that support AI applications and analytics. Implement retrieval-augmented generation, vector search, structured data access, and document processing where appropriate. Partner with data and platform teams to ensure quality, lineage, scalability, and secure access to enterprise data sources. AI Platform, DevOps & Operational Support Support deployment, monitoring, testing, and maintenance of AI solutions across development, test, and production environments. Implement CI/CD, model evaluation, observability, and operational controls for AI-enabled systems. Troubleshoot technical issues, improve performance, and support continuous enhancement of AI platforms and applications. Responsible AI, Security & Governance Apply responsible AI practices, including transparency, traceability, explainability, fairness, privacy, and human oversight. Partner with security, compliance, legal, and governance teams to support safe and appropriate AI use. Document solution design, risks, controls, assumptions, and operational considerations for AI systems. We seek Rebels who are curious about AI and its power to transform how we operate and serve our members. Actively support the achievement of SCAN’s Vision and Goals. Other duties as assigned. Your Qualifications: Bachelor's Degree in Computer science, Engineering, or a related field, or equivalent experience Deep applied understanding of LLM-based architectures, retrieval-augmented generation (RAG),vector embeddings, prompt engineering, and agent orchestration Experience designing, building, and deploying AI-enabled applications, services, workflows, and integrations. Proficiency with Azure AI Services, Azure AI Foundry, and enterprise content management platforms (SharePoint, Microsoft 365, Teams, Confluence). Strong Python (or equivalent), REST APIs, ML/LLMOps tooling, and frameworks (FastAPI, LangChain, Semantic Kernel, etc.). Ability to connect business requirements to technical solutions, develop reusable components, and improve solution adoption and operational impact. Collaborative communicator, comfortable engaging non-technical stakeholders and cross-functional teams. Demonstrates curiosity, initiative, and continuous learning; adapts quickly to new frameworks and technologies. Strong business partnering skills, self-direction, and influence; able to define roadmaps, persuade skeptics, and drive adoption of new processes or technologies Demonstrates curiosity, initiative, and continuous learning; adapts quickly to new frameworks and technologies. Preferred Certifications or Licenses: Microsoft Certified: Azure AI Engineer Associate Relevant certifications in cloud platforms, AI engineering, machine learning, data engineering, or software development are beneficial. Additional certifications in Responsible AI, Data Governance, Cybersecurity, or Healthcare Informatics are advantageous. Experience Preferred: Extensive experience (6+ years) in AI engineering, software engineering, data engineering, machine learning, automation, or enterprise technology delivery, ideally within regulated industries such as healthcare. Demonstrated hands-on expertise (3+ years) building AI-enabled applications, integrating large language models, implementing RAG patterns, or delivering machine learning solutions. Proven track record delivering enterprise-scale AI or digital transformation initiatives, including cross-functional collaboration with business, healthcare, data, security, compliance, and technology teams. Experience building production-grade applications, APIs, data pipelines, automation workflows, or cloud-based AI services. Familiarity with Azure AI Foundry, Azure OpenAI, Azure AI Services, Databricks, Snowflake, or similar enterprise AI and data platforms is highly valued. Strong stakeholder management and communication skills, with ability to translate business needs into scalable technical solutions and drive adoption across diverse teams. Domain expertise in healthcare, including regulatory and member-focused nuances, is a plus. What's in it for you? Base salary range: $106,200 to $182,983 annually An annual employee bonus program Robust Wellness Program Generous paid-time-off (PTO) 11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days Excellent 401(k) Retirement Saving Plan with employer match Robust employee recognition program Tuition reimbursement An opportunity to become part of a team that makes a difference to our members and our community every day! We're always looking for talented people to join our team! Qualified applicants are encouraged to apply now! At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required. #LI-JB1 #LI-Hybrid Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)