Associate Manager AGI Research

Cotiviti • Remote,

10d • $51 - $60 • Remote

About The Position

The Associate Manager AGI Research provides day-to-day supervision of research interns on the Technical Prospecting team, coordinating their work within priorities, project plans, evaluation methods, and technical standards established by the Director of AGI Research and technical leadership. The role assigns work, maintains schedules and workflow, monitors progress, coaches interns, addresses routine performance matters, and recommends actions when established processes do not fully address an operational issue. It also performs hands-on research and prototyping and escalates material technical, scope, resource, and policy decisions to the appropriate leader.

The position supports applied research through planning, documentation, evaluation, code and prototype review, and coordination with technical and business stakeholders. It administers established intern recruiting, onboarding, performance, timekeeping, and offboarding processes; monitors compliance with security, privacy, and data-handling policies; and maintains research templates, procedures, and archives. The role works under general direction and established procedures, with responsibility for identifying and escalating significant risks and decisions.

The role requires a relevant technical degree and experience in software engineering, applied AI, machine learning, data science research, or technical program/project management. The listed compensation range is $50.50 to $60.00 per hour. Non-exempt employees are eligible for overtime for hours exceeding 40 in a week, or as required by applicable state law. Cotiviti offers medical, dental, vision, disability, and life insurance, a 401(k) savings plan, paid family leave, nine paid holidays per year, and 17–27 days of PTO annually depending on level and length of service.

Requirements

• Degree in computer science, machine learning, AI, data science, engineering, or a related technical field.
• One of the following education and experience combinations: bachelor’s degree plus 2–3 years of experience; master’s degree plus 1–2 years; or PhD plus 0–1 years.
• Relevant experience in software engineering, applied AI, machine learning, or data science research, and technical program or project management.
• Experience leading, mentoring, or managing technical contributors, including coaching, providing direct and timely feedback, and handling difficult conversations.
• Working knowledge of AI-assisted development tools and ability to review intern code and prototypes for compliance with technical, security, and documentation standards.
• Ability to quickly evaluate and adopt new AI tools to accelerate research and development.
• Experience supporting applied research or experiments using established methods, documenting hypotheses, applying approved evaluation metrics, analyzing results, and recommending next steps.
• Experience translating approved objectives into assignments, short-term goals, schedules, and routine status reporting for a small team or work unit.
• Ability to work within general direction and established procedures, clarify routine requirements, and escalate material questions about scope or acceptance criteria.
• Clear written, verbal, and demonstration communication skills, including explaining complex technical concepts and results.
• Sound judgment regarding data security and privacy, especially for sensitive healthcare and claims data.
• Proficiency with Microsoft Office (Outlook, Excel, Word, and PowerPoint), SharePoint, and project tracking tools such as Jira or Asana.
• Ability to provide high-speed internet access/connectivity and office setup and maintenance.
• Ability to provide a dedicated, secure work area.
• Ability to communicate, solve problems and think critically, work independently amid unclear instructions, motivate and develop others, make data-driven recommendations, apply statistics to experiment results, understand modern programming languages and AI tools, prioritize work and meet deadlines, handle confidential information properly, and assess the accuracy and thoroughness of assigned work.
• Ability to remain stationary, often standing or sitting for prolonged periods, and repeat motions that may involve the wrists, hands, and/or fingers.

Nice To Haves

• Hands-on experience with LLM application patterns such as agentic workflows, retrieval-augmented generation, tool use, prompt engineering, and LLM evaluation.
• Experience with knowledge graphs or graph databases.
• Experience on fast-paced product, research, or innovation teams, or running internship or university programs.
• Experience with cloud platforms (AWS, Azure, or OCI) and containerization (Docker or Kubernetes).
• Exposure to healthcare, clinical chart review, medical coding, or claims concepts; this is a plus, not a requirement, and ramp-up support is provided on the job.
• Scrum Master (CSM or PSM I) or SAFe Agilist (SA) certification, or experience with objectives and key results (OKRs) or similar goal-setting frameworks.

Responsibilities

• Coordinate assigned intern research activities according to priorities, research questions, roadmaps, delivery targets, and procedures set by technical leadership.
• Translate approved project objectives into individual assignments, weekly goals, and schedules, and monitor progress frequently.
• Maintain records of assignments, milestones, owners, risks, and dependencies; provide status reports and identify and escalate issues affecting delivery, compliance, or stakeholder commitments.
• Administer cycle planning, weekly check-ins, milestone reviews, and demonstrations.
• Assign work and maintain project schedules and milestones within the approved program plan; adjust day-to-day workflow and escalate capacity constraints, timeline risks, and proposed scope changes.
• Review project documentation and results for completeness, repeatability, and demonstration readiness; recommend whether work should be adopted, revised, or discontinued.
• Support the Director of AGI Research in refining assigned research questions and documenting approved baselines, success measures, and acceptance criteria.
• Apply and monitor established evaluation methods, test data, benchmarks, accuracy measures, and error-analysis practices; investigate exceptions and recommend changes.
• Monitor documentation and version-control requirements for code, prompts, data, and experiment logs, resolving routine gaps with interns.
• Conduct literature, tool, and vendor reviews using established criteria and summarize findings and recommendations.
• Conduct hands-on research, prototyping, coding, debugging, testing, and documentation using approved AI tools and development practices.
• Review intern code, prototypes, and documentation against established correctness, performance, security, maintainability, and AI-native SDLC standards; require routine corrections and escalate material exceptions.
• Perform individual technical tasks such as creating limited prototypes, reproducing results, building evaluation aids, or resolving routine blockers while maintaining supervisory duties.
• Collect and document business and operational requirements using approved templates; clarify routine questions and obtain leadership approval for unclear requirements or material changes.
• Coordinate technical reviews, document decisions and actions, and monitor completion of technical leadership feedback concerning APIs, services, and application architecture.
• Facilitate knowledge-sharing sessions on approved AI tools and techniques and recommend procedural improvements.
• Provide input on intern selection; administer onboarding; assign daily work based on approved needs and demonstrated skills; and monitor schedules and workflow.
• Hold regular one-on-one meetings with interns to review progress, resolve routine workflow issues, reinforce expectations, and provide coaching and feedback.
• Administer the established intern performance process, document goals and progress, complete midpoint and end-of-internship evaluations, address routine performance issues, and elevate significant concerns with recommended action to the Director and HR.
• Coach interns on AI-assisted development practices, research rigor, end-user engagement, and communicating technical trade-offs; foster questions, learning, and documented experimentation.
• Coordinate recruiting, onboarding, access, training, and offboarding processes with HR and university relations; provide documented performance input for internship and conversion decisions.
• Review and approve intern timecards, maintain required records, and resolve routine administrative exceptions in accordance with company policy.
• Coordinate with the Director of AGI Research, technical leads, engineering, data science, and business stakeholders to align intern work with approved priorities; communicate status and explain operational risks and technical trade-offs.
• Monitor intern compliance with security, privacy, and data-handling policies; investigate routine exceptions, take corrective action within procedures, and escalate material concerns.
• Maintain project templates, onboarding materials, standard operating procedures, and the research archive; identify process gaps and recommend updates.
• Hire, develop, coach, lead, and retain talent, building and improving a team and culture that supports best practices and high internal and external customer satisfaction.
• Complete responsibilities outlined in the annual performance review and/or goal setting.
• Complete special projects and other duties as assigned.
• Perform duties with or without reasonable accommodation.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Disability insurance
• Life insurance
• 401(k) savings plan
• Paid family leave
• 9 paid holidays per year
• 17–27 days of Paid Time Off (PTO) per year, depending on level and length of service

What This Job Offers

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