Mid Level AI Consultant Jobs
Mid level ai consultant jobs go to professionals ready to own end-to-end AI engagements, drive client decisions with limited oversight, and mentor junior team members on delivery. About 29% of openings are remote or hybrid, concentrated across Technology & Software, Consulting & Professional Services, and Investment & Asset Management, with Deloitte, Scale AI, and Goldman Sachs among the employers hiring at this level now.
Find Mid Level AI Consultant JobsOverview
Showing 5 of 22+ Mid Level AI Consultant 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 22 Mid Level AI Consultant Jobs
Find roles that match your experience and apply in just a few clicks.
Find Mid Level AI Consultant JobsMid Level AI Consultant Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
- Investment & Asset Management
- Banking & Financial Services
- Education
Mid Level AI Consultant Jobs: Frequently Asked Questions
How do I get a mid level ai consultant job?
Position yourself around ownership: highlight projects where you led the AI solution from scoping through deployment, not just contributed to one. Emphasize the business outcomes you drove, the stakeholders you managed, and any junior colleagues you guided. Recruiters at this level look for candidates who can operate with limited direction, so frame your experience around decisions you made, not tasks you completed.
Which companies hire mid level ai consultants?
Companies hiring mid level ai consultants right now include Deloitte, Scale AI, and Goldman Sachs, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a mix of management consulting firms building out AI practices, technology services companies scaling delivery teams, and enterprise organizations standing up internal AI advisory functions.
Are there remote mid level ai consultant jobs?
Yes, remote and hybrid options are common at this level. About 29% of mid level ai consultant openings are remote or hybrid as of September 2026, reflecting how many organizations treat consulting engagements as location-flexible once a candidate has the experience to work autonomously. On-site roles tend to cluster in client-facing or regulated-industry positions.
How do I move up to a mid level ai consultant role?
The path from entry level to mid level is built on deepening specialization and expanding ownership over time. Early career, focus on mastering one or two AI domains, such as machine learning implementation or data strategy. From there, take on progressively larger project scopes, seek roles where you interact directly with clients or stakeholders, and document the measurable business impact of your work to demonstrate readiness for independent delivery.
Which industries hire the most mid level ai consultants?
Mid Level ai consultant roles concentrate in Technology & Software, Consulting & Professional 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 have complex, high-stakes AI adoption needs that require consultants experienced enough to lead engagements and translate technical solutions into clear business decisions.