Principal AI – Automation Engineer

Alignment Health

. Define and maintain a multi-year AI and automation roadmap supporting Medicare Advantage priorities .

Posted 9/29/2026full-timeRemote • United StatesLead💰 $172,364 - $258,547 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI and automation strategy, including the design and implementation of enterprise-grade automation solutions and AI/ML systems. Proficient in managing budgets, vendor relationships, and ensuring compliance with healthcare regulations such as HIPAA and CMS.

Highest-signal resume keywords

AI/ML Engineering PracticesEnterprise Automation SolutionsCloud AI/ML GovernanceRPA Platforms and OrchestrationHealthcare AI Use Cases

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningNatural Language ProcessingGenerative AIIntelligent Process AutomationMLOpsCI/CDModel DesignModel TrainingModel DeploymentModel Monitoring

Soft Skills

Technical LeadershipMentoringCross-Functional CollaborationCommunication

Tools & Technologies

AWS SageMakerAzure AIGoogle Cloud Vertex AIDatabricksRPA ToolsWorkflow Orchestration

Industry Keywords

Medicare AdvantageHIPAACMS RegulationsData GovernanceRisk AdjustmentPayment IntegrityClinical NLPMember Engagement

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformRPA

About the role

Key responsibilities & impact

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

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-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

Comp & perks

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