Director – AI & Automation

Alignment Health

Director, AI & Automation leading technology strategy for Medicare Advantage business at Alignment Health. Driving AI and automation for improved care quality and operational performance.

Posted 6/18/2026full-timeRemote • 🇺🇸 United StatesLead💰 $172,364 - $258,547 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformRPA

About the role

Key responsibilities & impact

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 cases 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.
Collaborate with Product, Data Engineering, Clinical Operations, Finance, Compliance, and Security to translate business requirements into technical solutions and track realized value.
Regularly communicate AI and automation strategy, progress, and ROI to senior executives and governance bodies.
Work with Legal, Compliance, and Privacy to ensure all AI and automation solutions meet CMS, HIPAA, and internal governance standards.
Own the operating budget for AI & Automation Engineering, including cloud spend, third-party platforms, and external partners.
Fulfill supervisory responsibilities in accordance with organization policies and applicable laws, including interviewing, hiring, training, and appraising performance.

Requirements

What you’ll need

8–12 years of progressive experience in software engineering, data science, or AI/ML roles
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 automation solutions 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
Bachelor's degree in Computer Science, Computer & Electrical Engineering, Mathematics, Data Science, or a related quantitative field (or equivalent experience)
Demonstrated senior-level proficiency with AI/ML engineering practices, cloud platforms, and enterprise automation through professional experience
Working knowledge of cloud AI/ML governance and platform management (AWS, Azure, or GCP) at a leadership level; certification or equivalent experience accepted.
Preferred: Experience in healthcare — specifically Medicare Advantage, managed care, or payer environments
Preferred: Knowledge of healthcare data standards including HL7 FHIR, ICD-10/CPT, or DICOM as applied to AI systems.
Preferred: Published research, conference presentations, or demonstrated thought leadership in AI/ML or enterprise automation.

Benefits

Comp & perks

No specific benefits mentioned in the job description.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AImachine learningnatural language processinggenerative AIintelligent process automationRPAorchestrationsoftware engineeringdata scienceproduction-grade AI/ML systems

Soft Skills

leadershipteam developmentcommunicationcollaborationperformance managementstrategic planninggoal settinginterpersonal skillsorganizational skillsbudget management

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Computer & Electrical EngineeringBachelor's degree in MathematicsBachelor's degree in Data ScienceAI/ML governance certification