Mid Level AI Research Scientist Jobs
Mid level ai research scientist jobs go to researchers ready to own projects end to end, drive experimental design with limited oversight, and mentor junior colleagues on methodology and best practices. Openings run across Technology & Software, Education, and Banking & Financial Services, with 29% remote or hybrid availability, and employers like Bosch, TikTok, and Goldman Sachs hiring at this level now.
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Showing 5 of 25+ Mid Level AI Research Scientist jobs
Job Title: AI Coding Tools Engineer (Sr. AI Full-Stack Engineer with Coding Tools [Claude Code, Codex] and agentic AI)
Location: Chantilly, VA
Notes
- Windows and Linux experience (ideally Admin experience) and capable of configuring different coding tools in internal hosted Windows and Linux environments.
- Project management and communications skills to be able to manage different projects and communicate with different parties, with the client, for supporting the operation and roll-out of a variety of coding assistant tools.
- Familiarity with some of the existing coding assistant tools (e.g., Claude Code, Cline, Codex).
Position Description: AI Coding Tools Engineer
The AI Coding Tools Engineer (GenAI & Agentic Systems) evaluates, pilots, operationalizes, maintains, and scales adoption of secure AI coding assistant tools across the enterprise.
Key Responsibilities
AI Coding Assistant Evaluation
- Conduct structured evaluations of leading enterprise AI coding assistants, including features, model performance, security, integration complexity, and developer ergonomics.
AI Coding Assistant Piloting, Launching & Adoption Support
- Integrate coding assistants into IDEs (VS Code), terminals/CLI workflows, and source-control ecosystems.
- Configure AI guardrails, including content filtering, prompt-shielding, and role-based access controls aligned with enterprise and NIST requirements.
- Work with Security Team to prepare ATO evidence, including SSP updates, control narratives, risk registers, and continuous-monitoring artifacts.
- Work with Training and Enablement Team to develop training, compliance, and end-user/best-practice guides.
- Support Coding Assistant “office hours” to support developer enablement and accelerate adoption.
- Collect user feedback, track adoption metrics, and iteratively refine usage patterns for different developer roles.
AI Coding Assistant Operations & Maintenance Support
- Monitor platform health and guardrail performance.
- Support analysis and remediation of integration or platform issues impacting the coding assistants.
- Track, evaluate, and support application of coding assistant updates and patches.
Required Qualifications
- Minimum 2 years of experience with leading AI Coding Assistants.
- Minimum 3–5 years of experience in software engineering, developer experience engineering, platform engineering, or related roles.
- Experience integrating or evaluating LLM-powered developer tools (e.g., code completion, chat-based programming assistance, test generation, refactoring tools).
- Understanding of NIST compliance and government cloud environments.
- Familiarity with enterprise DevSecOps practices, modern IDEs, and secure software development lifecycles.
Preferred Qualifications
- Direct experience leading enterprise adoption of AI coding assistants (pilot design, rollout planning, governance alignment).
- Hands-on experience with Amazon Bedrock GovCloud, Azure OpenAI (Gov), and/or Vertex AI (Assured Workloads) for production workloads.
- Experience building multi-step agent workflows on Bedrock Agents, implementing Bedrock Guardrails, or building RAG/semantic-search systems via Vertex AI Search.
- Experience supporting ATO artifacts and design/testing of controls.
Job Title: AI Coding Tools Engineer (Sr. AI Full-Stack Engineer with Coding Tools [Claude Code, Codex] and agentic AI)
Location: Chantilly, VA
Notes
- Windows and Linux experience (ideally Admin experience) and capable of configuring different coding tools in internal hosted Windows and Linux environments.
- Project management and communications skills to be able to manage different projects and communicate with different parties, with the client, for supporting the operation and roll-out of a variety of coding assistant tools.
- Familiarity with some of the existing coding assistant tools (e.g., Claude Code, Cline, Codex).
Position Description: AI Coding Tools Engineer
The AI Coding Tools Engineer (GenAI & Agentic Systems) evaluates, pilots, operationalizes, maintains, and scales adoption of secure AI coding assistant tools across the enterprise.
Key Responsibilities
AI Coding Assistant Evaluation
- Conduct structured evaluations of leading enterprise AI coding assistants, including features, model performance, security, integration complexity, and developer ergonomics.
AI Coding Assistant Piloting, Launching & Adoption Support
- Integrate coding assistants into IDEs (VS Code), terminals/CLI workflows, and source-control ecosystems.
- Configure AI guardrails, including content filtering, prompt-shielding, and role-based access controls aligned with enterprise and NIST requirements.
- Work with Security Team to prepare ATO evidence, including SSP updates, control narratives, risk registers, and continuous-monitoring artifacts.
- Work with Training and Enablement Team to develop training, compliance, and end-user/best-practice guides.
- Support Coding Assistant “office hours” to support developer enablement and accelerate adoption.
- Collect user feedback, track adoption metrics, and iteratively refine usage patterns for different developer roles.
AI Coding Assistant Operations & Maintenance Support
- Monitor platform health and guardrail performance.
- Support analysis and remediation of integration or platform issues impacting the coding assistants.
- Track, evaluate, and support application of coding assistant updates and patches.
Required Qualifications
- Minimum 2 years of experience with leading AI Coding Assistants.
- Minimum 3–5 years of experience in software engineering, developer experience engineering, platform engineering, or related roles.
- Experience integrating or evaluating LLM-powered developer tools (e.g., code completion, chat-based programming assistance, test generation, refactoring tools).
- Understanding of NIST compliance and government cloud environments.
- Familiarity with enterprise DevSecOps practices, modern IDEs, and secure software development lifecycles.
Preferred Qualifications
- Direct experience leading enterprise adoption of AI coding assistants (pilot design, rollout planning, governance alignment).
- Hands-on experience with Amazon Bedrock GovCloud, Azure OpenAI (Gov), and/or Vertex AI (Assured Workloads) for production workloads.
- Experience building multi-step agent workflows on Bedrock Agents, implementing Bedrock Guardrails, or building RAG/semantic-search systems via Vertex AI Search.
- Experience supporting ATO artifacts and design/testing of controls.
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Find JobsMid Level AI Research Scientist Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software12
- Education3
- Banking & Financial Services3
- Investment & Asset Management3
- Manufacturing2
Mid Level AI Research Scientist Jobs: Frequently Asked Questions
How do I get a mid level ai research scientist job?
Position yourself around research ownership: highlight projects where you designed experiments, interpreted results, and delivered conclusions independently. Emphasize any publications, patents, or deployed models you led rather than supported. Tailor your application to show depth in a specific subfield, such as reinforcement learning, computer vision, or NLP, since mid level roles reward specialization over breadth. A strong portfolio of end-to-end work matters more than credentials alone.
Which companies hire mid level ai research scientists?
Companies hiring mid level ai research scientists right now include Bosch, TikTok, and Goldman Sachs, based on current listings on Migrate Mate as of September 2026. Hiring at this level covers large technology firms running dedicated research labs, healthcare and life-sciences organizations building predictive models, and well-funded startups where mid level researchers often take on significant independent scope early.
Are there remote mid level ai research scientist jobs?
Yes, remote and hybrid arrangements are common at this level. About 29% of mid level ai research scientist openings are remote or hybrid as of September 2026, reflecting the compute-heavy, asynchronous nature of research work that translates well outside a traditional office. Fully on-site roles do still exist, particularly at organizations with sensitive data infrastructure or proprietary lab environments.
How do I move up to a mid level ai research scientist role?
The transition from entry level to mid level comes from accumulating ownership, not just experience. Focus on moving from executing others' research plans to designing your own experiments and defending your methodology. Building a record of measurable impact, whether through model performance improvements, published findings, or shipped features, signals readiness. Taking on informal mentorship and cross-functional collaboration also demonstrates the judgment that mid level roles require.
Which industries hire the most mid level ai research scientists?
Mid Level ai research scientist roles concentrate in Technology & Software, Education, and Banking & Financial Services, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because they combine large proprietary datasets, competitive pressure to productize AI capabilities, and the research scale needed to justify dedicated scientist headcount beyond a generalist engineering team.