Director – AI & Automation

🔥 14 hours ago

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Logo of Alignment Health

Alignment Health

501 - 1000 employees

Founded 2013

⚕️ Healthcare Insurance

💰 $135M Series C on 2020-03

Healthcare Insurance • Insurance • Healthcare

Alignment Health is dedicated to providing comprehensive care for Medicare members, emphasizing the needs of seniors, the chronically ill, and those who are frail. With a mission to transform senior healthcare, Alignment Health leverages a tailored care model and advanced technology to deliver high-quality, low-cost healthcare services. Their 24/7 concierge care team collaborates with trusted local providers to ensure that every member receives personalized care, reflecting the company's commitment to treating all members as valued family members.

📋 Description

• 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

• 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

• No specific benefits mentioned in the job description.

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