{"schemaVersion":"jobsearcher.job.v1","id":"a16ed95e512fffa13682adef","url":"https://jobsearcher.com/jobs/a16ed95e512fffa13682adef","canonicalUrl":"https://jobsearcher.com/jobs/a16ed95e512fffa13682adef","title":"AI Engineering Manager","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.\n\nToday, 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.\n\nOur 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.\n\nAt 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.\n\nThe Job:\n\nAs an AI Engineering Manager, you’re the hands-on leader for our organization’s architecture, delivery, and team development. Your team builds enterprise AI solutions that improve how the organization operates, makes decisions, and serves its members.\n\nThis role is accountable for demonstrating and setting technical direction, leveling up engineering practices and the engineers. You will represent our team by partnering across business, data, security, and technology functions. You will ensure AI products are thoughtfully designed, responsibly governed, securely delivered, operationally reliable, and aligned to enterprise priorities.\n\nEssential Job Functions:\n\nHands-on Technical Contribution\n\nLead by example, contributing to our core products and participating in development activities\nDevelop prototypes and showcase new capabilities available on our cloud platforms as they become available\nExpand our AI platform by owning functional expansions (sample areas include Agent Orchestration, Knowledge, Skills, and Data Integrations)\n\nArchitecture Leadership & Technical Direction\n\nDefine and steward enterprise-grade AI platform/solution architectures, ensuring systems are scalable, secure, maintainable, and aligned to emerging technology frameworks.\nSet technical standards, design principles, and decision frameworks for AI applications, data integrations, agentic workflows, and production platforms.\nGuide architectural tradeoff decisions across speed, quality, risk, cost, reusability, and long-term operability.\n\nEngineering Discipline & Delivery Management\n\nEstablish disciplined engineering practices for requirements definition, estimation, solution design, code quality, testing, documentation, release management, and production readiness.\nLead teams through SCAN’s SAFe Agile delivery rhythms, ensuring technical work is prioritized, sequenced, communicated, and completed with appropriate rigor.\nDrive continuous improvement in engineering processes, delivery predictability, observability, supportability, and operational excellence.\n\nPeople Leadership & Engineer Development\n\nCoach, mentor, and develop engineers; set clear expectations, provide actionable feedback, grow technical judgment, and increase ownership over time.\nBuild team capability in AI engineering, cloud software development, architecture, security, responsible AI, and enterprise delivery practices.\nCreate a high-accountability team culture that values curiosity, clarity, craftsmanship, collaboration, and responsible innovation.\n\nEnterprise Partnership & Leader-to-Leader Engagement\n\nEngage senior leaders to translate enterprise priorities into executable AI product and platform roadmaps.\nRepresent engineering perspectives in cross-functional planning, governance, risk discussions, and prioritization forums.\nInfluence stakeholders through clear communication, sound judgment, practical tradeoff analysis, and shared accountability for business outcomes.\n\nResponsible AI, Security, Governance & Operational Accountability\n\nEnsure AI systems are designed and delivered with responsible AI practices, including transparency, traceability, explainability, fairness, privacy, security, and human oversight.\nPartner with security, compliance, legal, governance, and platform teams to embed appropriate controls into architecture and delivery processes.\nOwn engineering accountability for solution documentation, risk awareness, production readiness, operational support, and continuous improvement.\n\nYour Qualifications:\n\nBachelor's Degree or equivalent experience in Computer science, Engineering, or a related field required\nMaster’s Degree in Computer science, Engineering, or a related field preferred\nAdvanced ability to define, evaluate, and govern AI solution architectures, including LLM-based systems, RAG, vector embeddings, agent orchestration, data integration, and platform patterns.\nAbility to lead engineering teams through disciplined delivery practices, including design reviews, coding standards, testing strategy, documentation, CI/CD, observability, release readiness, and support models.\nProficiency with Azure AI Services, Azure AI Foundry, enterprise cloud data platforms (Databricks and Snowflake), and integration with platforms such as Microsoft 365.\nStrong technical fluency in Python or equivalent languages, REST APIs, ML/LLMOps tooling, and modern application frameworks sufficient to guide architectural decisions and coach engineers.\nAbility to coach engineers, build technical judgment, delegate effectively, provide actionable feedback, and grow ownership and accountability within the team.\nLeader-to-leader communication skills, with ability to engage executives, peer leaders, and cross-functional partners in prioritization, tradeoff, governance, and adoption conversations.\nStrong business partnering skills, self-direction, and influence; able to define roadmaps, persuade skeptics, and drive adoption of new processes or technologies.\nDemonstrates curiosity, initiative, and continuous learning while creating the systems, practices, and coaching that help the broader engineering team adapt to new frameworks and technologies.\nLeadership - Develops others, sets clear expectations, and builds accountable engineering teams\nBusiness Insight - Connects technology strategy to enterprise priorities, operational needs, and member impact\nDecision Quality - Makes sound architectural and delivery tradeoffs under ambiguity\nStrategic Mindset - Creates durable engineering strategies, standards, and roadmaps that scale beyond a single project\nCollaborates - Engages effectively with peer leaders and cross-functional partners to drive shared outcomes\nSoftware Development – Writes code and contributes to team projects for AI capabilities deployed in cloud environments.\n\nPreferred Certifications or Licenses:\n\nMicrosoft Certified: Azure AI Engineer Associate\nRelevant certifications in cloud platforms, AI engineering, machine learning, data engineering, or software development are beneficial.\nAdditional certifications in Responsible AI, Data Governance, or Cybersecurity are advantageous.\n\nExperience Preferred:\n\nExtensive experience (8+ years) in software engineering, AI engineering, data engineering, machine learning, automation, or enterprise technology delivery, ideally within regulated industries such as healthcare.\nDemonstrated experience leading or managing engineers, including coaching, performance feedback, workload planning, technical mentorship, and team capability development.\nProven ability to define and govern solution architecture for enterprise-scale AI or digital transformation initiatives, including cross-functional collaboration with business, healthcare, data, security, compliance, and technology teams.\nExperience establishing engineering practices for production-grade applications, APIs, data pipelines, automation workflows, cloud-based AI services, testing, documentation, release management, and operational support.\nFamiliarity with Azure AI Foundry, Azure OpenAI, Azure AI Services, Databricks, Snowflake, or similar enterprise AI and data platforms is highly valued.\nStrong leader-to-leader communication and stakeholder management skills, with ability to translate enterprise priorities into technical direction, align peers, and drive adoption across diverse teams.\n\nWhat's in it for you?\n\nBase Salary Range: $125,400 to $215,975 annually\n\nAn annual employee bonus program\n\nRobust Wellness Program\n\nGenerous paid-time-off (PTO)\n\n11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days\n\nExcellent 401(k) Retirement Saving Plan with employer match\n\nRobust employee recognition program\n\nTuition reimbursement\n\nAn opportunity to become part of a team that makes a difference to our members and our community every day!\n\nWe're always looking for talented people to join our team! Qualified applicants are encouraged to apply now!\n\nAt 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.\n\nSCAN 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.\n\n#LI-JB1 #LI-Hybrid\n\nEqual Opportunity Employer/Protected Veterans/Individuals with Disabilities\n\nThe 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)","company":"Scan Group","rawCompany":"scan group","city":"Long Beach","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-19T17:37:56.871Z","occupations":[{"code":"11-9041.00","title":"Architectural and Engineering Managers","slug":"architectural-and-engineering-managers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Engineering Manager","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.\n\nToday, 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.\n\nOur 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.\n\nAt 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.\n\nThe Job:\n\nAs an AI Engineering Manager, you’re the hands-on leader for our organization’s architecture, delivery, and team development. Your team builds enterprise AI solutions that improve how the organization operates, makes decisions, and serves its members.\n\nThis role is accountable for demonstrating and setting technical direction, leveling up engineering practices and the engineers. You will represent our team by partnering across business, data, security, and technology functions. You will ensure AI products are thoughtfully designed, responsibly governed, securely delivered, operationally reliable, and aligned to enterprise priorities.\n\nEssential Job Functions:\n\nHands-on Technical Contribution\n\nLead by example, contributing to our core products and participating in development activities\nDevelop prototypes and showcase new capabilities available on our cloud platforms as they become available\nExpand our AI platform by owning functional expansions (sample areas include Agent Orchestration, Knowledge, Skills, and Data Integrations)\n\nArchitecture Leadership & Technical Direction\n\nDefine and steward enterprise-grade AI platform/solution architectures, ensuring systems are scalable, secure, maintainable, and aligned to emerging technology frameworks.\nSet technical standards, design principles, and decision frameworks for AI applications, data integrations, agentic workflows, and production platforms.\nGuide architectural tradeoff decisions across speed, quality, risk, cost, reusability, and long-term operability.\n\nEngineering Discipline & Delivery Management\n\nEstablish disciplined engineering practices for requirements definition, estimation, solution design, code quality, testing, documentation, release management, and production readiness.\nLead teams through SCAN’s SAFe Agile delivery rhythms, ensuring technical work is prioritized, sequenced, communicated, and completed with appropriate rigor.\nDrive continuous improvement in engineering processes, delivery predictability, observability, supportability, and operational excellence.\n\nPeople Leadership & Engineer Development\n\nCoach, mentor, and develop engineers; set clear expectations, provide actionable feedback, grow technical judgment, and increase ownership over time.\nBuild team capability in AI engineering, cloud software development, architecture, security, responsible AI, and enterprise delivery practices.\nCreate a high-accountability team culture that values curiosity, clarity, craftsmanship, collaboration, and responsible innovation.\n\nEnterprise Partnership & Leader-to-Leader Engagement\n\nEngage senior leaders to translate enterprise priorities into executable AI product and platform roadmaps.\nRepresent engineering perspectives in cross-functional planning, governance, risk discussions, and prioritization forums.\nInfluence stakeholders through clear communication, sound judgment, practical tradeoff analysis, and shared accountability for business outcomes.\n\nResponsible AI, Security, Governance & Operational Accountability\n\nEnsure AI systems are designed and delivered with responsible AI practices, including transparency, traceability, explainability, fairness, privacy, security, and human oversight.\nPartner with security, compliance, legal, governance, and platform teams to embed appropriate controls into architecture and delivery processes.\nOwn engineering accountability for solution documentation, risk awareness, production readiness, operational support, and continuous improvement.\n\nYour Qualifications:\n\nBachelor's Degree or equivalent experience in Computer science, Engineering, or a related field required\nMaster’s Degree in Computer science, Engineering, or a related field preferred\nAdvanced ability to define, evaluate, and govern AI solution architectures, including LLM-based systems, RAG, vector embeddings, agent orchestration, data integration, and platform patterns.\nAbility to lead engineering teams through disciplined delivery practices, including design reviews, coding standards, testing strategy, documentation, CI/CD, observability, release readiness, and support models.\nProficiency with Azure AI Services, Azure AI Foundry, enterprise cloud data platforms (Databricks and Snowflake), and integration with platforms such as Microsoft 365.\nStrong technical fluency in Python or equivalent languages, REST APIs, ML/LLMOps tooling, and modern application frameworks sufficient to guide architectural decisions and coach engineers.\nAbility to coach engineers, build technical judgment, delegate effectively, provide actionable feedback, and grow ownership and accountability within the team.\nLeader-to-leader communication skills, with ability to engage executives, peer leaders, and cross-functional partners in prioritization, tradeoff, governance, and adoption conversations.\nStrong business partnering skills, self-direction, and influence; able to define roadmaps, persuade skeptics, and drive adoption of new processes or technologies.\nDemonstrates curiosity, initiative, and continuous learning while creating the systems, practices, and coaching that help the broader engineering team adapt to new frameworks and technologies.\nLeadership - Develops others, sets clear expectations, and builds accountable engineering teams\nBusiness Insight - Connects technology strategy to enterprise priorities, operational needs, and member impact\nDecision Quality - Makes sound architectural and delivery tradeoffs under ambiguity\nStrategic Mindset - Creates durable engineering strategies, standards, and roadmaps that scale beyond a single project\nCollaborates - Engages effectively with peer leaders and cross-functional partners to drive shared outcomes\nSoftware Development – Writes code and contributes to team projects for AI capabilities deployed in cloud environments.\n\nPreferred Certifications or Licenses:\n\nMicrosoft Certified: Azure AI Engineer Associate\nRelevant certifications in cloud platforms, AI engineering, machine learning, data engineering, or software development are beneficial.\nAdditional certifications in Responsible AI, Data Governance, or Cybersecurity are advantageous.\n\nExperience Preferred:\n\nExtensive experience (8+ years) in software engineering, AI engineering, data engineering, machine learning, automation, or enterprise technology delivery, ideally within regulated industries such as healthcare.\nDemonstrated experience leading or managing engineers, including coaching, performance feedback, workload planning, technical mentorship, and team capability development.\nProven ability to define and govern solution architecture for enterprise-scale AI or digital transformation initiatives, including cross-functional collaboration with business, healthcare, data, security, compliance, and technology teams.\nExperience establishing engineering practices for production-grade applications, APIs, data pipelines, automation workflows, cloud-based AI services, testing, documentation, release management, and operational support.\nFamiliarity with Azure AI Foundry, Azure OpenAI, Azure AI Services, Databricks, Snowflake, or similar enterprise AI and data platforms is highly valued.\nStrong leader-to-leader communication and stakeholder management skills, with ability to translate enterprise priorities into technical direction, align peers, and drive adoption across diverse teams.\n\nWhat's in it for you?\n\nBase Salary Range: $125,400 to $215,975 annually\n\nAn annual employee bonus program\n\nRobust Wellness Program\n\nGenerous paid-time-off (PTO)\n\n11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days\n\nExcellent 401(k) Retirement Saving Plan with employer match\n\nRobust employee recognition program\n\nTuition reimbursement\n\nAn opportunity to become part of a team that makes a difference to our members and our community every day!\n\nWe're always looking for talented people to join our team! Qualified applicants are encouraged to apply now!\n\nAt 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.\n\nSCAN 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.\n\n#LI-JB1 #LI-Hybrid\n\nEqual Opportunity Employer/Protected Veterans/Individuals with Disabilities\n\nThe 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)","datePosted":"2026-08-19T17:37:56.871Z","dateModified":"2026-08-19T17:37:56.871Z","hiringOrganization":{"@type":"Organization","name":"Scan Group","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Long Beach","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a16ed95e512fffa13682adef"},"url":"https://jobsearcher.com/jobs/a16ed95e512fffa13682adef"}}