Senior Software Engineer (AI Orchestrator)

Cotiviti

2d • $105,000 - $145,000 • Remote

About The Position

Cotiviti is a leading solutions and analytics company that leverages unparalleled clinical and financial datasets to deliver deep insight into the performance of the healthcare system. These insights uncover new opportunities for healthcare organizations to collaborate to improve their financial performance, reduce inefficiency, and improve healthcare quality.
The Senior Software Engineer I (AI Orchestrator) is a senior individual contributor responsible for building production software using AI‑native development workflows as part of a small, focused AI‑Native team. This role works closely with the AI‑Native Tech Lead and other team engineers to rapidly design, implement, test, and iterate on high‑quality software.
AI Orchestrators are strong engineers who use AI tools as a first‑class part of their daily engineering workflow to accelerate development, improve testing, and shorten feedback loops.
This role is not focused on training AI models or building machine learning pipelines. It focuses on building software efficiently, safely, and at high quality using AI‑assisted engineering practices.

Requirements

• BS or MS Computer Science, Information Technology, Information Systems, or equivalent work experience.
• 5+ years of professional software engineering experience.
• Strong backend or full‑stack development skills.
• Demonstrated experience building and shipping production applications.
• Comfortable using AI‑assisted development tools as part of daily engineering workflow.
• Strong debugging, problem‑solving, and code review skills.
• Proficiency in one or more programming languages such as Java, .NET, Python, or similar.
• Experience working with relational databases and SQL.
• Familiarity with CI/CD pipelines and modern development practices.
• Good written and verbal communication skills.
• Strong collaboration and teamwork skills
• Ability to learn and adapt quickly in a rapidly evolving technical environment.
• Detail-oriented approach to software quality and correctness.
• Strong sense of ownership for delivered outcomes.
• Proficiency working with large data sets.
• Critical Thinking: Ability to think critically and evaluate information objectively, considering different perspectives and potential implications before drawing conclusions or making recommendations.
• Attention to Detail: must have a keen eye for detail to ensure accuracy in data analysis, interpretation, and reporting.
• Quantitative Aptitude: Strong numerical skills are essential for conducting quantitative analysis, working with statistical methods and models, and manipulating data using mathematical operations.
• Data Interpretation: skilled in interpreting data visualizations, charts, graphs, and other forms of data presentation to extract meaningful insights and communicate findings effectively.
• Communication Skills: Effective communication skills are crucial for conveying complex technical concepts and insights to non-technical stakeholders clearly and understandably through written reports, presentations, and verbal discussions.
• Curiosity and Learning Agility: A strong desire to learn and explore new methodologies, techniques, and tools in the field of data analysis and insights generation is essential for staying current with industry trends and best practices.
• Resilience: The ability to handle pressure, adapt to changing priorities, and overcome setbacks is important in a fast-paced and sometimes ambiguous analytical environment.
• Ethical and Integrity: Upholding ethical standards and maintaining integrity in handling sensitive data and information is paramount for building trust and credibility in the insights provided.
• Remaining in a stationary position, often standing or sitting for prolonged periods.
• Repeating motions that may include the wrists, hands, and/or fingers.
• Must be able to provide a dedicated, secure work area.
• be able to provide high-speed internet access/connectivity and office setup and maintenance.
• No adverse environmental conditions expected.

Nice To Haves

• Experience working in fast‑paced product or platform teams.
• Experience building internal tools, automation, or developer utilities.
• Experience with cloud platforms such as AWS, Azure, or OCI.
• Experience with containerization technologies (Docker, Kubernetes).
• Interest in improving developer productivity and engineering workflows

Responsibilities

• AI‑Native Software Development
• Build and enhance production‑grade software applications using AI‑assisted development workflows.
• Translate product and technical requirements into working, maintainable software.
• Use AI tools to accelerate coding, debugging, testing, refactoring, and documentation.
• Review, validate, and refine AI‑generated code to ensure correctness, performance, security, and maintainability.
• Application Design & Implementation
• Design and implement clean, well‑structured APIs, services, and application components.
• Contribute to scalable backend systems and full‑stack solutions as required by the team.
• Apply sound engineering judgment to balance speed, quality, and long‑term maintainability.
• Participate in design discussions and technical reviews within the team.
• AI Orchestration & Workflow Execution
• Orchestrate the effective use of AI tools across development activities, including: Code generation and refactoring Test creation and validation Debugging and issue analysis Documentation and design artifacts
• Follow and help refine AI‑native engineering standards established by the Tech Lead.
• Contribute feedback and improvements to AI‑assisted workflows and development practices.
• Collaboration & Team Execution
• Collaborate closely with the AI‑Native Tech Lead to implement architectural and engineering best practices.
• Work effectively within a small AI‑Native team to deliver features end‑to‑end.
• Coordinate with adjacent teams as needed for integration, dependencies, and shared services.
• Communicate technical issues and tradeoffs clearly to engineering and product stakeholders.
• Quality, Stability & Continuous Improvement
• Ensure adherence to Cotiviti technology standards, secure coding practices, and SDLC requirements.
• Analyze and resolve software issues originating from internal or external customers.
• Execute enhancements to improve system performance, reliability, and availability.
• Continuously improve knowledge of new tools, technologies, and AI‑assisted development practices.
• Complete all responsibilities as outlined on annual Performance Plan.
• Complete all special projects and other duties as assigned.
• Must be able to perform duties with or without reasonable accommodation.

Benefits

• Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level