Principal AI – Automation Engineer

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $172.4k - $258.5k / year

⏰ Full Time

🔴 Lead

🤖 QA Automation Engineer

👻 Ghost score 0%

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Alignment Health

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

⚕️ Healthcare Insurance

🛡️ Insurance

🏥 Healthcare

💰 $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 supporting Medicare Advantage priorities • Partner with C-suite and senior leaders to identify and prioritize high-ROI AI and automation use cases • Lead design and implementation of enterprise-grade automation solutions, including RPA, workflow orchestration, and process intelligence • Establish standards and governance for automation development, documentation, and change management • Own selection and adoption of AI/ML platforms, cloud services, and automation tools • Define and enforce engineering best practices including CI/CD, MLOps, testing, observability, and documentation • Collaborate with Product, Data Engineering, Clinical Operations, Finance, Compliance, and Security to translate requirements into technical solutions • Track realized business value including cycle-time reduction, accuracy improvement, and cost-to-serve • Communicate AI and automation strategy, progress, and ROI to senior executives and governance bodies • Ensure AI and automation solutions meet CMS, HIPAA, and internal governance standards • Implement frameworks for bias detection, model explainability, auditability, and change control • Own the AI & Automation Engineering operating budget, including cloud spend, third-party platforms, and external partners • Evaluate and manage vendor relationships • Provide technical leadership, mentoring, and cross-functional direction without direct reports

🎯 Requirements

• 8–12 years of progressive experience in software engineering, data science, or AI/ML roles • At least 3–5 years in a senior-level position • Proven track record delivering production-grade AI/ML systems and large-scale automation solutions in a regulated or enterprise environment • 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; equivalent combination of education and demonstrated experience considered • Demonstrated senior-level proficiency with AI/ML engineering practices, cloud platforms, and enterprise automation • Working knowledge of cloud AI/ML governance and platform management (AWS, Azure, or GCP) at a leadership level • Deep, hands-on understanding of the full AI/ML lifecycle, including model design, training, deployment, monitoring, and MLOps • Proven ability to define and govern enterprise automation strategy using RPA platforms and orchestration tools • Expert-level familiarity with AWS SageMaker, Azure AI / Document Intelligence, Google Cloud Vertex AI, or Databricks • Deep working knowledge of HIPAA, CMS regulations, and data governance in regulated healthcare environments • Advanced fluency in healthcare AI use cases including risk adjustment, payment integrity, clinical NLP, and member engagement • Experience presenting to boards, C-suite, and governance bodies • Applied leadership experience with ethical AI frameworks including bias detection, model explainability, auditability, and responsible AI program design

🏖️ Benefits

• Ample room for growth and innovation • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions • Equal Opportunity/Affirmative Action employment consideration