Mid Level AI Strategy Lead Jobs
Mid level ai strategy lead jobs go to professionals ready to own AI initiatives end to end, guide junior team members, and translate strategic priorities into actionable roadmaps with limited oversight. Openings run across Technology & Software, Banking & Financial Services, and Investment & Asset Management, with 16% remote or hybrid availability, and employers like DoorDash, JPMorganChase, and Goldman Sachs hiring at this level now.
Find JobsOverview
Showing 5 of 23+ Mid Level AI Strategy Lead 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 23 Mid Level AI Strategy Lead Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsMid Level AI Strategy Lead Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Investment & Asset Management
- Education
- Healthcare & Medical Services
Mid Level AI Strategy Lead Jobs: Frequently Asked Questions
How do I get a mid level ai strategy lead job?
Position yourself around ownership, not just participation. Highlight projects where you drove AI strategy decisions, shaped roadmaps, or aligned cross-functional stakeholders, rather than supporting someone else's plan. Tailor your resume to show measurable outcomes from those efforts. Applications that demonstrate clear decision-making authority and independent execution consistently stand out at this level.
Which companies hire mid level ai strategy leads?
Companies hiring mid level ai strategy leads right now include DoorDash, JPMorganChase, and Goldman Sachs, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a wide range of employers, including large enterprises building internal AI practices and growth-stage companies scaling their strategic AI functions for the first time.
Are there remote mid level ai strategy lead jobs?
Yes, remote and hybrid options are well represented at this level. About 16% of mid level ai strategy lead openings are remote or hybrid as of September 2026, reflecting how many organizations treat strategy work as location-flexible. On-site roles do exist, particularly at companies that prioritize in-person collaboration for cross-functional AI initiatives.
How do I move up to a mid level ai strategy lead role?
Moving from entry level into a mid level ai strategy lead role takes deliberate skill-building over time. Focus on deepening your understanding of AI product and business tradeoffs, seek out projects where you own a defined scope, and build a record of measurable impact from your recommendations. Mentorship, cross-functional exposure, and contributions that influenced real decisions signal readiness for mid level responsibility.
Which industries hire the most mid level ai strategy leads?
Mid Level ai strategy lead roles concentrate in Technology & Software, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because they are actively integrating AI into core operations and need strategists who can move beyond exploration into execution and measurable business impact.