Associate Manager, AGI Research

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the daily activities of research interns within the Technical Prospecting team.

• Organize intern research tasks based on priorities, research inquiries, roadmaps, delivery goals, and technical procedures.

• Convert project aims into assignments, weekly objectives, schedules, and workflows while tracking progress.

• Keep records of assignments, milestones, responsible parties, risks, and dependencies; furnish status updates and escalate delivery, compliance, and stakeholder risks.

• Manage cycle planning, weekly check-ins, milestone evaluations, demonstrations, and other planning routines.

• Supervise project timelines and milestones; modify workflows and escalate capacity limitations, timeline risks, and scope adjustments.

• Assess project documentation and results for thoroughness, repeatability, and readiness for demonstration; recommend adoption, amendment, or cessation.

• Assist in refining research inquiries and documenting baselines, success metrics, and acceptance criteria.

• Utilize evaluation methodologies, test data, benchmarks, accuracy measures, and error-analysis techniques; investigate anomalies.

• Ensure proper documentation and version-control requirements for code, prompts, data, and experiment logs.

• Conduct reviews of literature, tools, and vendors, summarizing findings and recommendations.

• Engage in hands-on research, prototyping, coding, debugging, testing, and documentation using sanctioned AI tools.

• Evaluate intern code, prototypes, and documentation for correctness, performance, security, maintainability, and adherence to AI-native SDLC standards.

• Execute individual technical tasks such as creating prototypes, reproducing results, developing evaluation aids, and resolving routine blockers.

• Gather and document business and operational requirements from end users and sponsors.

• Coordinate technical evaluations, document decisions and actions, and track completion of feedback regarding APIs, services, and application architecture.

• Lead knowledge-sharing sessions and suggest enhancements to team processes.

• Contribute to intern recruitment; manage onboarding, access, training, and offboarding procedures.

• Conduct regular 1:1 meetings, mentor interns, provide feedback, and oversee midpoint and final evaluations for interns.

• Review and authorize intern timecards while maintaining necessary administrative records.

• Collaborate with technical leadership, engineering, data science, HR, university relations, and business stakeholders.

• Ensure compliance with security, privacy, and data-handling regulations; investigate routine exceptions and escalate significant concerns.

• Maintain project templates, onboarding documents, standard operating procedures, and the research archive.

• Recruit, develop, coach, lead, and retain talent while enhancing team culture and customer satisfaction.

• Accomplish performance review objectives, special projects, and other assigned responsibilities.

⛳️ Requirements

• A degree in computer science, machine learning, AI, data science, engineering, or a related technical discipline, with one of the following: Bachelor’s degree + 2-3 years of experience; Master’s degree + 1-2 years of experience; PhD + 0-1 years of experience.

• Relevant experience in software engineering, applied AI, machine learning, or data science research, along with technical program or project management.

• Experience in leading, mentoring, or managing technical contributors such as interns, early-career engineers, or research assistants.

• Proficient knowledge of AI-assisted development tools and the capability to review intern code and prototypes for technical, security, and documentation standards.

• Ability to rapidly evaluate and adopt new AI tools.

• Experience supporting applied research or experiments using established methodologies, documenting hypotheses, applying evaluation metrics, analyzing outcomes, and providing recommendations for next steps.

• Experience in converting approved objectives into assignments, short-term goals, schedules, and status reports for a small team or work unit.

• Capability to work within general direction and established protocols, clarify routine requirements, and escalate significant scope or acceptance-criteria inquiries.

• Excellent written, verbal, and demonstration communication skills, including the ability to explain complex technical concepts and results.

• Sound judgment regarding data security and privacy, particularly concerning sensitive healthcare and claims data.

• Proficient in Microsoft Office (Outlook, Excel, Word, and PowerPoint), SharePoint, and project tracking tools like Jira or Asana.

• Must provide high-speed internet access/connectivity and manage office setup and maintenance.

• Must maintain a dedicated, secure work area.

• Preferred: Hands-on experience with LLM application patterns such as agentic workflows, retrieval-augmented generation, tool usage, prompt engineering, and LLM evaluation.

• Preferred: Experience with knowledge graphs or graph databases.

• Preferred: Background in fast-paced product, research, or innovation teams, or in managing internship or university programs.

• Preferred: Familiarity with AWS, Azure, or OCI and Docker or Kubernetes.

• Preferred: Exposure to healthcare, clinical chart review, medical coding, or claims concepts.

• Preferred: CSM, PSM I, or SAFe Agilist certification, or experience with OKRs or similar frameworks.

• Ability to communicate, critically solve problems, work independently, motivate and develop others, apply statistics, build solutions with modern programming languages/frameworks/AI tools, prioritize tasks, meet deadlines, and handle confidential information appropriately.

🏝️ Benefits

• Medical, dental, vision, disability, and life insurance coverage.

• 401(K) savings plan.

• Paid family leave.

• 9 paid holidays annually.

• 17-27 days of Paid Time Off (PTO) per year, depending on level and length of service.

• Overtime pay for hours worked beyond 40 hours per week, or as mandated by applicable state law.

• High-speed internet access/connectivity and office setup and maintenance provided by the team member requirement.

• Dedicated, secure work area.