Senior Level Research Engineer Jobs
Senior level research engineer jobs place experienced engineers in charge of research direction, technical roadmaps, and the cross-functional projects that move discovery into application. Openings lean heavily toward Insurance, Technology & Software, and Science & Research, with 38% remote or hybrid availability, and employers like CVS Health, Anthropic, and Meta hiring at this level now.
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Department:
Research Informatics-
Research Informatics – AIPosition Title:
Agentic AI Engineer - Research AdministrationJob Family Group:
Professional StaffJob Description Summary:
The Agentic AI Engineer will help design, build, and evaluate AI agents and large language model (LLM)-powered systems that automate multi-step workflows, retrieve and reason over clinical and research data, and support investigators across the institution. The Agentic AI Engineer will work closely with faculty, data scientists, and clinical collaborators, and contribute directly to research that advances patient care and scientific discovery.Job Description:
Job Responsibilities:
Design, develop, and test AI agents and LLM-based pipelines that automate multi-step research and clinical-support tasks.
Implement retrieval-augmented generation (RAG) and tool-use workflows to ground AI systems in institutional data and literature.
Integrate AI components with internal data sources, APIs, and research applications under appropriate data-governance controls.
Evaluate model and agent performance for accuracy, reliability, safety, and bias; document results and iterate based on findings.
Collaborate with investigators to translate research questions into technical requirements and prototypes.
Write clean, well-documented, reproducible code and maintain version-controlled repositories.
Contribute to technical documentation, internal demos, and occasional grant or publication deliverables.
Stay current with developments in agentic AI frameworks and apply relevant advances responsibly.
Conducts activities in a professional and ethical manner, and in accordance with KUMC Policies and applicable local, state and federal laws and regulations.
Performs job responsibilities in a safe and secure manner.
Coordinate work with other University areas ensure integration and support of the University mission.
Develops, maintains and expands job-specific knowledge and skills to keep pace with industry changes and supports the university's commitment to excellence and innovation.
Participates in relevant committees, task force, or other similar activities.
Maintain confidentiality of medical center, employee, and patient information. Manages sensitive data with discretion and in accordance with KUMC policies and legal requirements.
Maintains the highest standards of integrity, respect, professional conduct, and ethical standards.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. It is only a summary of the typical functions of the job, not an exhaustive list of all possible job responsibilities, tasks, duties, and assignments. Furthermore, job duties, responsibilities and activities may change at any time with or without notice.
Required Qualifications
Education:
Bachelor’s degree in computer science, data science, engineering, or a related field.
This position requires a formal degree in the cited discipline area(s) to ensure that candidates have advanced knowledge, analytical skills and professional competencies necessary to perform the duties of the position. The level of degree is commonly recognized as the standard qualification for similar roles in the public and private sector, ensuring that the university remains competitive with industry aligned practices, enhances collaboration with external partners, and supports the delivery of services and programs that meet professional and market-driven expectations.
Work Experience:
8 years of experience that requires proficiency in Python and familiarity with modern software-development practices (Git, testing, code review). Education may be substituted for experience on a year for year basis.
Experience in a position that requires an understanding of machine learning and large language models, including prompting and basic evaluation.
Exposure to at least one agentic or LLM framework (e.g., LangChain, LlamaIndex, the OpenAI or Anthropic SDKs, or similar) through coursework, internships, or personal projects.
Preferred Qualifications
Certifications/Licenses:
Graduate Certificate in Artificial Intelligence (AI)
Work Experience:
Experience building RAG systems, tool-using agents, or workflow automation with LLMs.
Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker).
Interest in or exposure to healthcare, biomedical, or clinical-research data.
Awareness of data privacy and security considerations, including HIPAA, in research or healthcare contexts.
Contributions to open-source projects, research, or a portfolio demonstrating applied AI work.
Skills
Communication
Collaboration
Problem-solving
Required Documents
Resume
Cover Letter
Comprehensive Benefits Package:
Coverage begins on day one for health, dental, and vision insurance and includes health expense accounts with generous employer contributions if the employee participates in a qualifying health plan. Employer-paid life insurance, long-term disability insurance, and various additional voluntary insurance plans are available. Paid time off, including vacation and sick, begins accruing upon hire, plus ten paid holidays. One paid discretionary day is available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available. https://www.kumc.edu/human-resources/benefits.html
Employee Type:
RegularTime Type:
Full timeRate Type:
SalaryCompensation Statement:
The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in making compensation decisions including, but not limited to, education, experience and training, qualifications relative to the requirements of the position, and funding. At the University of Kansas Medical Center, a reasonable estimate for the starting pay range will be the minimum to midpoint of the posted range, taking into account the combination of factors listed above.
Pay Range:
$103,014.00 - $164,822.00Minimum
$103,014.00Midpoint
$133,920.00Maximum
$164,822.00See All 64 Senior Level Research Engineer Jobs
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Find JobsSenior Level Research Engineer Job Market
Who's Hiring
- CVS Health22

- Anthropic5

- Meta2

- NVIDIA2

- Decagon2

Top Industries Hiring
- Insurance22
- Technology & Software15
- Science & Research6
- Education4
- Medical Devices3
Senior Level Research Engineer Jobs: Frequently Asked Questions
How do I get a senior level research engineer job?
Employers at this level look for a portfolio of independent research contributions, including published work, patents, or deployed systems you owned end to end. Demonstrating that you have set technical direction, mentored junior engineers, and driven projects from hypothesis to outcome matters as much as depth in a specific domain. Tailor your materials to show scope, not just participation.
Which companies hire senior level research engineers?
Companies hiring senior level research engineers right now include CVS Health, Anthropic, and Meta, based on current listings on Migrate Mate as of August 2026. Hiring at this level comes from a mix of large technology firms, defense and aerospace contractors, and research-intensive industrial companies investing in applied and foundational research teams.
Are there remote senior level research engineer jobs?
Yes, though availability varies by domain and employer. About 38% of senior level research engineer openings are remote or hybrid as of August 2026, with lab-based and hardware-focused roles more likely to require on-site presence. Computational, data-driven, and software-oriented research positions tend to offer the most location flexibility at this level.
What makes a research engineer role senior level?
Senior level research engineer roles are defined by ownership and scope. You are expected to define research questions, not just execute them, and to take accountability for outcomes across a full project lifecycle. These roles typically involve mentoring earlier-career engineers, influencing team or program strategy, and driving work that connects basic research to real-world application or product impact.
Which industries hire the most senior level research engineers?
Senior Level research engineer roles concentrate in Insurance, Technology & Software, and Science & Research, based on current listings on Migrate Mate as of August 2026. These sectors drive hiring at this level because they run large-scale research programs that require experienced engineers who can independently lead technical workstreams and translate research into systems, products, or commercial outcomes.