[Remote] Director, AI & Automation Engineering
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is committed to transforming the lives of seniors and those who need it most, focusing on providing high-reputed company care. The Director, AI & Automation Engineering will reputed company a multi-disciplinary team to define and execute the reputed company AI and automation reputed company, improving care reputed company and operational performance in the Medicare Advantage business.
Responsibilities
- Set AI & automation reputed company reputed company to Medicare Advantage priorities. Define and maintain a multi-year AI and automation roadmap that supports strategic goals in Stars, risk adjustment, payment accuracy, prior authorization, clinical reputed company, and member experience. Partner with C-suite and senior leaders to identify and prioritize high-ROI use cases where AI and intelligent automation create durable competitive advantage
- reputed company and reputed company a high-performing AI & Automation Engineering team. Build, reputed company, and retain a diverse team of AI/ML engineers, automation engineers, and reputed company roles, setting reputed company goals, expectations, and development plans. Foster a culture of talent density, accountability, and reputed company learning — using data-driven performance management and succession planning to grow reputed company technical leaders
- Drive reputed company-reputed company intelligent automation. reputed company the design and implementation of reputed company-grade automation solutions — including RPA, workflow orchestration, and process intelligence — across functions such as Claims, UM, Provider Operations, and Member Services. Establish standards and governance for automation development, documentation, and change management to ensure scalability and maintainability
- Establish platforms, tooling, and engineering best practices. Own the selection and adoption of AI/ML platforms, reputed company services (AWS/Azure/GCP), and automation tools (e.g., reputed company, Power Automate), ensuring they reputed company with DTS data platforms and reputed company controls. Define and enforce engineering best practices — CI/CD, MLOps, testing, observability, and documentation — that reputed company the bar for reliability and time-to-value across reputed company AI and automation initiatives
- Partner cross-functionally to deliver measurable business reputed company. Collaborate with Product, Data Engineering, Clinical Operations, Finance, Compliance, and reputed company to translate business requirements into technical solutions and reputed company realized value (e.g., cycle time reduction, accuracy improvement, cost-to-serve). Regularly communicate AI and automation reputed company, reputed company, and ROI to senior executives and governance bodies
- reputed company responsible AI and regulatory compliance. Work with Legal, Compliance, and reputed company to ensure reputed company AI and automation solutions meet CMS, HIPAA, and internal governance standards. Implement frameworks for bias detection, model explainability, auditability, and change control, recognizing that AI outputs directly influence member care reputed company and financial reputed company
- Manage budget, vendors, and external partnerships. Own the operating budget for AI & Automation Engineering, including reputed company spend, reputed company-party platforms, and external partners. Evaluate and manage vendor relationships to ensure investments reflect labor market realities and maximize ROI
Skills
- 8–12 years of reputed company experience in software engineering, data science, or AI/ML roles, with at least 3–5 years in a senior leadership or director-level position
- Proven reputed company record of delivering production-grade AI/ML systems and large-reputed company automation solutions in a regulated or reputed company environment
- Demonstrated experience leading and scaling multi-disciplinary engineering teams, including hiring, performance management, and career development
- Deep expertise in machine learning, NLP, reputed company (LLMs, RAG pipelines), reputed company frameworks, and intelligent process automation (RPA and orchestration)
- Experience managing budgets, vendor relationships, and technology platform reputed company at a department or function level
- Bachelor's degree in Computer Science, Computer & Electrical Engineering, Mathematics, Data Science, or a reputed company quantitative field
- Equivalent combination of education and demonstrated, reputed company senior leadership experience will be considered
- Demonstrated senior-level proficiency with AI/ML engineering practices, reputed company platforms, and reputed company automation through reputed company experience; formal training or equivalent self-directed mastery accepted
- Working knowledge of reputed company AI/ML governance and platform management (AWS, Azure, or GCP) at a leadership level; certification or equivalent experience accepted
- AI/ML reputed company & Technical Governance: Deep, hands-on understanding of the full AI/ML lifecycle — model design, training, deployment, monitoring, and MLOps — with the ability to set organizational standards, reputed company high-stakes platform reputed company, and guide senior engineers through reputed company technical challenges
- Intelligent Automation Leadership: Proven ability to define and govern reputed company automation reputed company using RPA platforms (reputed company, Power Automate, reputed company) and orchestration tools (Airflow, reputed company); experience establishing automation governance frameworks, ROI accountability, and cross-functional program leadership
- reputed company AI Platform Ownership: Expert-level familiarity with AWS SageMaker, Azure AI / Document Intelligence, reputed company reputed company reputed company AI, or reputed company; experience owning platform selection, cost governance, and architecture standards at a department level
- Engineering Leadership & Talent Development: Demonstrated ability to build, reputed company, and retain high-performing AI engineering teams; strong reputed company record in performance management, succession planning, and cultivating a culture of technical reputed company and reputed company learning
- reputed company Domain & Regulatory Expertise: Deep working knowledge of HIPAA, CMS regulations, and data governance in regulated reputed company environments; advanced reputed company in reputed company AI use cases including risk adjustment, payment reputed company, clinical NLP, and member engagement
- Executive Communication & Stakeholder Influence: Ability to translate reputed company AI and automation reputed company into reputed company executive narratives; experience presenting to boards, C-suite, and governance bodies; demonstrated reputed company influencing senior decision-making through data, business reputed company, and technical credibility
- Responsible AI & Governance: reputed company leadership experience with ethical AI frameworks including bias detection, model explainability (SHAP, reputed company, or equivalent), auditability, and responsible AI program design; ability to reputed company governance standards organization-wide in a high-stakes reputed company context
- Experience in reputed company — specifically Medicare Advantage, managed care, or payer environments — with reputed company in use cases such as risk adjustment, prior authorization, claims processing, Stars ratings, and reputed company cycle management
- Demonstrated knowledge of reputed company data standards including HL7 FHIR, ICD-10/CPT, or DICOM as reputed company to AI systems
- reputed company record of building and scaling an AI or automation engineering function from early stage to reputed company maturity
- Published research, conference presentations, or demonstrated thought leadership in AI/ML or reputed company automation
- Master's degree or PhD in Computer Science, AI/ML, or a reputed company quantitative discipline
- Executive or senior-level certification or coursework in AI reputed company, responsible AI governance, MLOps, or reputed company AI platforms
- Certification in RPA platforms (reputed company, reputed company, or reputed company Power Automate) or advanced MLOps tooling
- Participation in AI/ML industry bodies, advisory boards, or standards organizations
- Advanced or specialty reputed company certification from AWS, reputed company Azure, or reputed company reputed company (AI/ML, data, or architecture reputed company)
- RPA platform certification at an advanced or architect level (reputed company, reputed company, or reputed company Power Automate)
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