Senior Data and AI Engineer

Evolent Health LLC is hiring a Senior Data and AI Engineer to lead the design and delivery of scalable software solutions, data platforms, and pipelines. The role applies AI-assisted engineering across the development lifecycle and supports machine learning, analytics, and generative AI workloads while upholding security, privacy, governance, and responsible AI standards.

Responsibilities:

• Lead the design, development, and deployment of complex software solutions, ensuring scalability and maintainability
• Architect and implement high-performance and data pipelines that support critical business functions
• Collaborate closely with cross-functional teams, including product managers, UX designers, and other engineers, to translate business needs into technical solutions
• Conduct thorough code reviews, providing constructive feedback and ensuring adherence to best coding practices
• Mentor and coach junior engineers, fostering a culture of continuous learning and technical excellence
• Identify and implement improvements to the software development lifecycle, including automation, testing, and CI/CD pipelines
• Troubleshoot and resolve production issues, working to ensure high availability and reliability of services
• Evaluate and integrate new tools, frameworks, and technologies to improve development processes and team productivity
• Drive the technical vision for projects, contributing to architectural discussions and long-term planning
• Apply AI-assisted engineering techniques across the full delivery lifecycle, including requirements analysis, pipeline and code development, testing, debugging, documentation, and operational monitoring
• Iterate with AI on solution design and architecture, evaluating alternatives, revising existing architecture, and producing design artifacts for review
• Set the standard for validating AI-generated outputs for correctness, security, maintainability, compliance, and business appropriateness, including when reviewing the AI-assisted work of other engineers
• Design and support data platforms and governed datasets that enable machine learning, analytics, and generative AI workloads
• Contribute reusable prompts, skills, agents, engineering playbooks, and AI-assisted development patterns that benefit the broader engineering organization
• Ensure AI usage complies with enterprise policies for intellectual property protection, security, privacy, PHI handling, and Responsible AI standards

Requirements:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience
• 5+ years of professional software development experience, with a proven track record of delivering complex, scalable applications
• Proficiency in one or more programming languages, such as C# or Python, and relevant frameworks
• Knowledge of cloud platforms (e.g., Azure, AWS, GCP), and experience with data engineering technologies (e.g., Spark, Databricks, Microsoft Fabric)
• Knowledge and experience with modern data engineering patterns (e.g., Data Vault, dimensional modeling, data products, lakehouse architecture, feature flags, event-driven systems, DAGs)
• Expertise in database design and optimization for both SQL and NoSQL databases
• Excellent problem-solving skills, with the ability to diagnose and resolve complex technical issues quickly
• Strong communication skills, with the ability to lead technical discussions, present to stakeholders, and write detailed documentation
• Demonstrated experience using AI-assisted development platforms such as GitHub Copilot, Cursor, Claude Code, or similar tools to deliver production work
• Strong prompt engineering skills, with experience in AI-assisted testing and AI-enabled delivery practices
• Experience with machine learning data pipelines, vector search technologies, document processing pipelines, or AI data preparation techniques
• Working knowledge of data governance, lineage, quality, and observability practices supporting AI-enabled solutions