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Senior AI Automation Engineer
Alignment HealthSenior AI Automation Engineer at Alignment Health architecting and deploying AI solutions. Leading complex projects to improve care quality and operational performance in Medicare Advantage.
Tech Stack
Tools & technologiesAirflowDockerETLKubernetesMicroservicesRPA
About the role
Key responsibilities & impact- Architect and deliver production-grade AI and machine learning systems.
- Lead the end-to-end design and deployment of predictive and generative AI models — including NLP, classification, regression, and computer vision — for high-stakes Medicare Advantage workloads.
- Own architectural decisions related to model selection, scalability, and production readiness, and establish monitoring and drift detection standards adopted across the team.
- Lead the design and scaling of intelligent process automation.
- Evaluate and architect enterprise-wide automation strategies using RPA platforms (e.g., UiPath, Power Automate) and orchestration tools (e.g., Airflow, Prefect).
- Drive automation ROI analysis, establish engineering standards for fault-tolerant workflow design, and serve as the senior technical owner for the organization's most complex automation pipelines.
- Own AI/ML data infrastructure strategy and pipeline reliability.
- Design and govern robust ETL and feature engineering pipelines that support model training, validation, and real-time inference at scale.
- Define infrastructure standards for experimentation, retraining, and monitoring that ensure consistent model performance across a regulated, high-availability production environment.
- Integrate AI and automation systems into enterprise architecture.
- Lead the integration of deployed models and automation services into enterprise products via REST APIs and microservices, setting the engineering bar for security, HIPAA compliance, and maintainability.
- Drive adoption of containerization (Docker, Kubernetes) and CI/CD best practices across the AI engineering team.
- Architect and implement LLM-powered and agentic AI applications.
- Define the technical approach for integrating large language models into clinical and operational workflows — including prompt engineering, fine-tuning, RAG pipelines, and multi-agent orchestration frameworks (LangChain, LangGraph, AutoGen).
- Own delivery of agentic AI solutions that transform end-to-end workflows in areas such as clinical document intelligence, intelligent prior authorization, and member communication.
- Establish reliability standards and drive continuous system improvement.
- Own the performance, reliability, and scalability posture of AI and automation systems across the team.
- Define alerting, testing, and tuning frameworks that proactively surface degradation before it affects member outcomes, and lead post-incident reviews to build organizational resilience.
- Mentor engineers and shape AI engineering culture.
- Provide senior technical mentorship to mid-level and junior engineers through hands-on code reviews, design critiques, and paired problem-solving.
- Contribute to hiring, technical interviews, and the establishment of team-wide engineering standards — including responsible AI practices such as bias detection, model explainability, and governance in high-stakes healthcare contexts.
Requirements
What you’ll need- 5–8 years of professional experience in software engineering with a demonstrated, progressive focus on AI/ML, data science, or intelligent process automation
- Proven track record of independently owning and delivering complex, production-grade AI/ML systems from design through deployment and ongoing operations
- Demonstrated experience with the full AI/ML model lifecycle at scale: data architecture, model design, training, validation, deployment, monitoring, and retraining
- Experience in a regulated industry (healthcare, insurance, or financial services) with deep working knowledge of compliance and security requirements in production AI environments
- Experience architecting and scaling automation solutions using RPA platforms and workflow orchestration tools, including cross-functional stakeholder engagement and ROI governance.
Benefits
Comp & perks- Competitive salary
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI systemsmachine learningNLPclassificationregressioncomputer visionETLfeature engineeringcontainerizationprompt engineering
Soft Skills
leadershipmentorshipproblem-solvingcommunicationorganizational resiliencestakeholder engagementcontinuous improvementtechnical ownershipteam collaborationengineering culture