Forward-deployed AI Engineer

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. 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 through Medicare Advantage, fully integrated care models, primary care, and next-generation care delivery.

About the role

As a Forward Deployed AI Engineer, you'll embed with SCAN’s teams to understand how work actually happens, identify opportunities where AI can make a measurable difference, and rapidly design, build, and deploy solutions that improve outcomes. Instead of working on a single product, you'll own transformation of teams and domains—reducing turnaround time for member questions, improving case manager productivity, automating administrative operations, or helping employees make better decisions with enterprise knowledge.

Responsibilities

• Embed with SCAN’s teams to understand workflows, operational challenges, and strategic priorities through stakeholder interviews, workflow observation, and process analysis.
• Translate ambiguous business problems into clear technical requirements and measurable success criteria; build trusted relationships with SCAN leaders as a strategic technology partner.
• Design, develop, test, deploy, and support AI-enabled applications using SCAN’s large language models (LLMs), AI agents, retrieval-augmented generation (RAG), workflow automation, APIs, and modern software engineering practices.
• Rapidly prototype solutions, validate concepts with users, and iterate based on business feedback; build production-ready software using SCAN’s enterprise AI platform.
• Translate complex business problems into scalable, maintainable technical architectures in collaboration with architects, product managers, platform engineers, data engineers, and security teams.
• Develop reusable components, patterns, and technical assets that accelerate future AI development; contribute to engineering standards and best practices.
• Establish measurable success metrics for AI solutions and monitor business impact after deployment; continuously optimize solutions based on operational data and user feedback.
• Identify additional automation and AI opportunities through ongoing engagement with business partners; support organizational adoption through education and change management.
• Apply responsible AI practices (transparency, fairness, privacy, human oversight) and partner with security, compliance, legal, and governance teams to ensure safe and appropriate AI use.
• Document solution design, risks, controls, assumptions, and operational considerations for AI systems; ensure compliance with organizational standards and regulatory requirements.

Qualifications

• Bachelor's Degree or equivalent experience in Computer Science, Engineering, or a related field.
• 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, Microsoft Agent Framework, 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, continuous learning, and adaptability 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.
• Skilled in developing others, with in-depth business insight, problem-solving abilities, and a strategic mindset.

Preferred Experience

• 6+ years in AI engineering, software engineering, data engineering, machine learning, automation, or enterprise technology delivery, ideally within regulated industries such as healthcare.
• 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 with cross-functional collaboration.
• 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.
• Strong stakeholder management and communication skills; ability to translate business needs into scalable technical solutions.
• Domain expertise in healthcare, including regulatory and member-focused nuances.

Preferred Certifications

• Microsoft Certified: Azure AI Engineer Associate.
• Relevant certifications in cloud platforms, AI engineering, machine learning, data engineering, or software development.
• Additional certifications in Responsible AI, Data Governance, Cybersecurity, or Healthcare Informatics.

Benefits

• Base Salary Range: $125,400 to $215,975 annually.
• 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.