Senior AI Automation Engineer

E2E Alignment Healthcare USA, LLC; California; Hybrid; USD 172,000 - 259,000; Full time

Job summary

Alignment Health is seeking a Senior AI & Automation Engineer to design, build, and scale AI systems and enterprise automation across our Medicare Advantage operations. You will partner with AI scientists, data engineers, and product teams to deliver production-ready services and pipelines.

This senior IC role leads complex, ambiguous initiatives from concept to production, champions best practices in CI/CD, containers, and data governance, and mentors engineers while aligning with regulatory

Qualifications

• 5–8 years of professional software engineering with distributed systems, cloud infrastructure, or data platforms.
• Experience owning and delivering complex, production-grade distributed systems from concept through deployment.
• Experience integrating AI/ML models or LLMs into production with performance tuning.
• Experience in a regulated industry with compliance and security requirements.
• Experience building automation using RPA platforms and workflow orchestration tools.
• Preferred: Databricks platform experience (Delta Lake, MLflow, Unity Catalog).

Responsibilities

• Architect, build, and scale AI systems and enterprise automation across Medicare Advantage.
• Lead integration patterns and hybrid infrastructure bridging cloud and non-cloud systems.
• Own CI/CD, containerization, and deployment standards.
• Mentor engineers and participate in hiring panels and code reviews.
• Collaborate with AI Scientists to deploy models to production and optimize performance.
• Ensure governance and responsible AI practices in production.

Skills

Distributed systems

Cloud infrastructure

Data platforms

AI/ML in production

RPA platforms

Workflow orchestration

Databricks

Compliance and security

Healthcare domain

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or related field

Tools

Docker

Kubernetes

CI/CD

Databricks

Job description

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together.

The Senior AI & Automation Engineer is a senior individual contributor and technical leader on the Data & Technology Solutions team, responsible for architecting, building, and scaling intelligent AI systems and enterprise automation solutions that directly improve care quality and operational performance across our Medicare Advantage business. You will serve as a go‑to technical expert for AI Scientists, Data Engineers, Product Managers, Clinical Operations, and Application Engineering teams — driving end-to-end delivery of production AI systems that span claims processing, risk adjustment, prior authorization, revenue integrity, and member engagement. This role carries a higher degree of independent ownership and technical authority than the mid‑level equivalent, with expectations to lead complex, ambiguous initiatives from concept through production and to actively elevate the engineering practices of the broader team. Lead the build of distributed, cloud‑native systems for enterprise workloads. Own the design and build of services, APIs, and microservices that run reliably at scale in a regulated environment. Set the standard for distributed systems practice on the team: fault tolerance, retries and idempotency, queuing and eventing, caching, and horizontal scaling. Lead hybrid infrastructure work bridging cloud and non‑cloud systems. Own the build of integrations with non‑API data sources, including flat files, legacy databases, EDI feeds, mainframes, and streaming data, as well as multimodal data such as documents, images, and audio. Set integration patterns the rest of the team builds against. Own CI/CD, containerization, and deployment standards. Drive adoption of Docker, Kubernetes, and CI/CD best practices across the team. Own infrastructure‑as‑code standards for the systems the team builds. Own data and automation pipeline reliability. Build and govern ETL and orchestration pipelines at scale. Own automation strategy using RPA platforms and orchestration tools, including ROI governance and engineering standards for fault‑tolerant workflow design. Apply AI/ML to production systems and own inferencing performance (applied, not research). Own the build of inferencing pipelines (batch, real‑time, streaming) that serve models handed off from AI Sciences, for workloads such as claims processing, risk adjustment, and member communication. Partner directly with AI Scientists to take models from research into low‑latency, high‑throughput production systems, owning the benchmarking and tuning that gets them there. This is applied integration, serving, and performance ownership, not model research or training. Own the technical approach for integrating LLMs into workflows, including prompt engineering, RAG, and multi‑agent orchestration frameworks (LangChain, LangGraph, AutoGen). Lead the Databricks build‑out supporting AI Sciences. Own productionizing models and pipelines built on Databricks, including Delta Lake, MLflow, and Unity Catalog. Own the CI/CD, orchestration, access controls, and cost tuning that let Databricks‑based work move reliably into production, and set standards for how the team uses the platform. Define alerting, testing, and monitoring frameworks that surface degradation before it affects member outcomes, and lead post‑incident reviews. Mentor engineers and shape engineering culture. Provide senior technical mentorship through code reviews, design critiques, and paired problem‑solving. Contribute to hiring, technical interviews, and team‑wide engineering standards, including responsible AI practices such as bias detection, explainability, and governance.

Supervisory Responsibilities

Senior individual contributor role with no formal direct reports. Expected to function as an informal technical lead: mentoring, conducting code reviews, participating in hiring panels, and guiding the technical direction of junior and mid‑level engineers on project teams.

Job Requirements

• Required 5-8 years of professional software engineering experience with a demonstrated focus on distributed systems, cloud infrastructure, or data platforms
• Proven track record independently owning and delivering complex, production‑grade distributed systems from concept through deployment and operations
• Experience building and scaling hybrid infrastructure connecting cloud‑native and non‑API/legacy systems
• Demonstrated experience serving and integrating AI/ML models or LLMs in production, including performance tuning (not model training/research)
• Experience in a regulated industry (healthcare, insurance, or financial services) with deep working knowledge of compliance and security requirements
• Experience building and scaling automation solutions using RPA platforms and workflow orchestration tools, including ROI governance
• Preferred: Experience with the Databricks platform (Delta Lake, MLflow, Unity Catalog) at a senior or platform‑owner level
• Experience applying AI/ML to complex healthcare data (claims, revenue cycle, prior authorization, medical coding, clinical text)
• Familiarity with HL7 FHIR, ICD-10/CPT, or DICOM
• Experience in a Medicare Advantage, managed care, or payer environment at a senior engineering level
• Prior experience as an informal technical lead, principal engineer, or engineering lead

Education

• Required: Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or related quantitative field, or equivalent progressive senior‑level experience
• Preferred: Master's degree in Computer Science or related quantitative discipline

License Required

• None at this time

Preferred Qualifications

• Preferred: Advanced or specialty cloud certification (AWS, Azure, or GCP); RPA platform certification

Pay Range

Pay Range: $172,364.00 - $258,547.00 Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc.

Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation.

Alignment Health is championing a new path in senior care that empowers members to age well and live their most vibrant lives. Our mission‑focused team makes high‑quality, low‑cost care a reality for members every day. Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most. We believe that great work comes from people who are inspired to be their best. We've built a team of people who want to make a difference in the lives of the seniors we serve. Come join the team that is changing health care — one person at a time.