[Hiring] AI Automation Engineer @Alignment Health

Role Description

The Artificial Intelligence & Automation Engineer is a hands-on technical contributor on the Data & Technology Solutions team, responsible for designing, building, and deploying intelligent AI systems and automated workflows that drive operational efficiency and elevate the quality of care for our Medicare Advantage members. You will partner closely with AI Scientists, Data Engineers, Product Managers, Clinical Operations, and Application Engineering teams to translate complex business problems into scalable, production-grade solutions.

• Build distributed, cloud-native systems for enterprise workloads.
• Design and build services, APIs, and microservices that run reliably at scale in a regulated environment.
• Apply solid distributed systems fundamentals: fault tolerance, retries and idempotency, queuing and eventing, caching, and horizontal scaling.
• Build hybrid infrastructure that bridges cloud and non-cloud systems.
• Build integrations with non-API data sources, including flat files, legacy databases, EDI feeds, mainframes, and streaming data.
• Design for environments where not everything is cloud-native or API-first.
• Build and operate CI/CD, containerization, and deployment pipelines.
• Containerize and deploy using Docker and Kubernetes.
• Build CI/CD pipelines for reproducible, reliable releases, and apply infrastructure-as-code practices across the systems you own.
• Build data and automation pipelines using tools such as Airflow or Prefect.
• Automate high-volume, repetitive processes using RPA platforms (e.g., UiPath, Power Automate).
• Apply AI/ML to production systems (applied, not research).
• Build and serve inferencing pipelines for models handed off from AI Sciences.
• Integrate LLMs into workflows using prompt engineering and RAG.
• Support the Databricks platform used by AI Sciences.
• Build with cost and reliability in mind.
• Collaborate cross-functionally with AI Scientists, Product Managers, clinical stakeholders, and business analysts.

Qualifications

• 3–5 years of professional experience in software engineering with a demonstrated focus on AI/ML, data science, or intelligent process automation.
• Hands-on experience building and deploying machine learning models in a production cloud environment (AWS, Azure, or GCP).
• Experience integrating systems with non-API and multimodal data sources.
• Experience in a regulated industry (healthcare, insurance, or financial services).
• Hands-on experience applying AI/ML models or LLMs in a production system (integration/serving, not necessarily training).

Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or a related quantitative field.
• Equivalent combination of education and demonstrated, progressive hands-on experience will be considered.

Benefits

• Pay Range: $130,332.00 - $195,498.00.
• Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc.

Essential Physical Functions

• Regularly required to talk or hear.
• Regularly required to stand, walk, sit, use hands to handle or feel objects, tools, or controls; and reach with hands and arms.
• Frequently lifts and/or moves up to 10 pounds.
• Specific vision abilities required include close vision and the ability to adjust focus.