Senior Software Engineer; AI Orchestrator

Senior Software Engineer (AI Orchestrator)

Job Location s: US-Remote

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Category:
Engineering/IT

Position Type:
Full-Time

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 AInative development workflows as part of a small, focused AINative team. This role works closely with the AINative 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.

AINative 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 AInative 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 AInative Tech Lead to implement architectural and engineering best practices.
• Work effectively within a small AInative team to deliver features end‑to‑end.
• Coordinate with adjacent teams as needed for integration, dependencies, and shared services.
• Communicate technical issues and trade‑offs 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.

This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties, and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and the requirements of the job change.

• 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…