Mid Level Artificial Intelligence Scientist Jobs
Mid level artificial intelligence scientist jobs go to professionals ready to own research pipelines, mentor junior team members, and deliver production-ready models with limited oversight. Hiring runs across Technology & Software, Biotechnology & Pharmaceuticals, and Education, with 26% of openings remote or hybrid, and employers like Bosch, TikTok, and Intuit competing for mid level talent now.
Find JobsOverview
Showing 5 of 45+ Mid Level Artificial Intelligence 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.
See All 45 Mid Level Artificial Intelligence Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsMid Level Artificial Intelligence Scientist Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software21
- Biotechnology & Pharmaceuticals4
- Education3
- Manufacturing3
- Science & Research3
Mid Level Artificial Intelligence Scientist Jobs: Frequently Asked Questions
How do I get a mid level artificial intelligence scientist job?
Emphasize end-to-end project ownership rather than task contribution. Highlight shipped models, measurable performance improvements, and decisions you drove independently. Tailor your resume to show depth in a core area, whether computer vision, NLP, or reinforcement learning, alongside cross-functional collaboration. A strong portfolio with documented results and clear problem framing consistently outperforms a generic list of tools and frameworks.
Which companies hire mid level artificial intelligence scientists?
Companies hiring mid level artificial intelligence scientists right now include Bosch, TikTok, and Intuit, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a broad mix, including technology platforms, enterprise software companies, defense contractors, and applied research labs that need scientists who can execute independently.
Are there remote mid level artificial intelligence scientist jobs?
Yes, remote and hybrid options are widely available at this level. About 26% of mid level artificial intelligence scientist openings are remote or hybrid as of September 2026, reflecting strong employer appetite for distributed AI talent. On-site roles tend to cluster at labs and regulated industries where data access or hardware requirements make full remote less practical.
How do I move up to a mid level artificial intelligence scientist role?
Growth from entry level to mid level comes from accumulating ownership over time. Early on, focus on shipping complete solutions rather than components, volunteering to lead experiments, and building a specialty in one modeling domain. Consistent delivery, peer mentorship, and demonstrating that you can scope a problem and solve it without step-by-step guidance are the signals employers use to promote scientists into mid level positions.
Which industries hire the most mid level artificial intelligence scientists?
Mid Level artificial intelligence scientist roles concentrate in Technology & Software, Biotechnology & Pharmaceuticals, and Education, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at the mid level because they have mature data infrastructure, active production deployments, and enough research volume to justify dedicated AI scientists rather than generalist engineers.