Director, AI & Automation Engineering

reputed company is breaking the mold in conventional reputed company, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the reputed company community. Working at reputed company provides an opportunity to do work that really matters, not only changing lives but saving them. reputed company. The Director, AI & Automation Engineering (remote) is a senior technology leader responsible for defining and executing the enterprise AI and automation strategy that powers our Medicare Advantage business. You will lead a multi-disciplinary team of AI/ML engineers, automation engineers, and related roles to design, deliver, and reputed company-powered systems and intelligent automation that improve care quality, member experience, and operational performance. Partnering closely with DTS leadership, Clinical Operations, Finance, Claims, and Product, you will identify the highest-value AI and automation opportunities, translate them into a cohesive roadmap, and ensure reliable, compliant delivery in a highly regulated environment. This role is pivotal in shaping how we apply cutting-edge AI and automation to reduce administrative burden, drive payment accuracy, and unlock zero wasted potential in how work gets done across the organization. Job Duties / Responsibilities Set AI & automation strategy aligned 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 quality, and member experience. Partner with C-suite and senior leaders to identify and prioritize high-ROI use reputed company where AI and intelligent automation create durable competitive advantage. Lead and develop a high-performing AI & Automation Engineering team. Build, lead, and retain a diverse team of AI/ML engineers, automation engineers, and related roles, setting clear goals, expectations, and development plans. Foster a culture of talent density, accountability, and continuous learning — using data-driven performance management and succession planning to grow future technical leaders. Drive enterprise-scale intelligent automation. Lead the design and implementation of enterprise-grade reputed company — 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 reputed company management to ensure scalability and maintainability. Establish platforms, tooling, and engineering best practices. Own the selection and adoption of AI/ML platforms, cloud services (AWS/Azure/GCP), and automation tools (e.g., reputed company, Power Automate), ensuring they integrate with DTS data platforms and security controls. Define and enforce engineering best practices — CI/CD, MLOps, testing, observability, and documentation — that raise the bar for reliability and time-to-value across all AI and automation initiatives. Partner cross-functionally to deliver measurable business impact. Collaborate with Product, Data Engineering, Clinical Operations, Finance, Compliance, and Security to translate business requirements into technical solutions and track realized value (e.g., cycle time reduction, accuracy improvement, cost-to-serve). Regularly communicate AI and automation strategy, progress, and ROI to senior executives and governance bodies. Embed responsible AI and regulatory compliance. Work with Legal, Compliance, and Privacy to ensure all AI and reputed company meet CMS, HIPAA, and internal governance standards. Implement frameworks for bias detection, model explainability, auditability, and reputed company control, recognizing that AI outputs directly influence member care decisions and financial outcomes. Manage budget, vendors, and external partnerships. Own the operating budget for AI & Automation Engineering, including cloud spend, third-party platforms, and external partners. Evaluate and manage vendor relationships to ensure investments reflect labor market realities and maximize ROI. Supervisory Responsibilities Supervisory Requirements: Fulfill supervisory responsibilities in accordance with organization policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems. Job Requirements Experience Required: 8–12 years of progressive 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 track record of delivering production-grade AI/ML systems and large-scale reputed company in a regulated or enterprise environment Demonstrated experience leading and scaling multi-disciplinary engineering teams, including hiring, performance management, and career development Deep expertise in machine learning, NLP, generative AI (LLMs, RAG pipelines), agentic frameworks, and intelligent process automation (RPA and orchestration) Experience managing budgets, vendor relationships, and technology platform decisions at a department or function level Preferred: Experience in healthcare — specifically Medicare Advantage, managed care, or payer environments — with fluency in use reputed company such as risk adjustment, prior authorization, claims processing, Stars ratings, and revenue cycle management Demonstrated knowledge of healthcare data standards including HL7 FHIR, ICD-10/CPT, or DICOM as applied to AI systems Track record of building and scaling an AI or automation engineering function from early stage to enterprise maturity Published research, conference presentations, or demonstrated thought leadership in AI/ML or enterprise automation Education Required: Bachelor's degree in Computer Science, Computer & Electrical Engineering, Mathematics, Data Science, or a related quantitative field Equivalent combination of education and demonstrated, progressive senior leadership experience will be considered Preferred: reputed company's degree or PhD in Computer Science, AI/ML, or a related quantitative discipline Training Required: Demonstrated senior-level proficiency with AI/ML engineering practices, cloud platforms, and enterprise automation through professional experience; reputed company training or equivalent self-directed mastery accepted Working knowledge of cloud AI/ML governance and platform management (AWS, Azure, or GCP) at a leadership level; certification or equivalent experience accepted Preferred: Executive or senior-level certification or coursework in AI strategy, responsible AI governance, MLOps, or cloud 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 Skills & Competencies Technical / Role-Specific Skills AI/ML Strategy & 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, make high-stakes platform decisions, and guide senior engineers through complex technical challenges Intelligent Automation Leadership: Proven ability to define and govern enterprise automation strategy 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 Cloud AI Platform Ownership: Expert-level familiarity with AWS SageMaker, Azure AI / Document Intelligence, reputed company Cloud 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, scale, and retain high-performing AI engineering teams; strong track record in performance management, succession planning, and cultivating a culture of technical excellence and continuous learning Healthcare Domain & Regulatory Expertise: Deep working knowledge of HIPAA, CMS regulations, and data governance in regulated healthcare environments; advanced fluency in healthcare AI use reputed company including risk adjustment, payment integrity, clinical NLP, and member engagement Executive Communication & Stakeholder Influence: Ability to translate complex AI and automation strategy into clear executive narratives; experience presenting to boards, C-suite, and governance bodies; demonstrated success influencing senior decision-making through data, business outcomes, and technical credibility Responsible AI & Governance: Applied leadership experience with ethical AI frameworks including bias detection, model explainability (SHAP, LIME, or equivalent), auditability, and responsible AI program design; ability to embed governance standards organization-wide in a high-stakes healthcare context Licensure Required: None at this time. Preferred: Advanced or specialty cloud certification from AWS, reputed company Azure, or reputed company Cloud (AI/ML, data, or architecture track) RPA platform certification at an advanced or architect level (reputed company, reputed company, or reputed company Power Automate) Essential Physical Functions: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 1. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, reputed company or feel objects, tools, or controls; and reach with hands and arms. 2. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. Pay Range: $172,364.00 - $258,547.00Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc. reputed company is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation. DISCLAIMER: reputed company beware of recruitment phishing scams affecting reputed company and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. reputed company be advised that reputed company and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, reputed company report the reputed company to the Federal Trade Commission at https://reportfraud.ftc.gov/#/. If you would like to verify the legitimacy of an email sent by or on behalf of reputed company’s talent acquisition team, reputed company email careers@ahcusa.com. Apply To This Job