Mid Level AI Solutions Engineer Jobs
Mid level ai solutions engineer jobs go to professionals ready to own solution delivery end to end, guide junior teammates, and make architectural decisions without constant oversight. Roles are distributed 47% remote or hybrid across Technology & Software, Consulting & Professional Services, and Banking & Financial Services, with KPMG, NTT DATA, and Amazon hiring at this level now.
Find JobsOverview
Showing 5 of 49+ Mid Level AI Solutions Engineer 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 49 Mid Level AI Solutions Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsMid Level AI Solutions Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software16
- Consulting & Professional Services7
- Banking & Financial Services5
- Retail4
- Accounting & Auditing4
Mid Level AI Solutions Engineer Jobs: Frequently Asked Questions
How do I get a mid level ai solutions engineer job?
Position your existing experience around ownership: highlight projects where you drove a solution from requirements through deployment, not just contributed to one. Emphasize hands-on work with large language models, ML pipelines, or AI integration APIs, and show the business impact of what you built. Applications that demonstrate independent judgment and measurable outcomes stand out over those that just list tools.
Which companies hire mid level ai solutions engineers?
Companies hiring mid level ai solutions engineers right now include KPMG, NTT DATA, and Amazon, based on current listings on Migrate Mate as of September 2026. Hiring at this level covers technology consultancies, enterprise software vendors, and large organizations across finance, healthcare, and retail that are actively building internal AI capabilities.
Are there remote mid level ai solutions engineer jobs?
Yes, remote and hybrid roles are a substantial share of the market at this level. About 47% of mid level ai solutions engineer openings are remote or hybrid as of September 2026, reflecting how much AI engineering work can be done distributed. On-site roles tend to cluster at companies with regulated data environments or hands-on infrastructure requirements.
How do I move up to a mid level ai solutions engineer role?
The path from entry level to mid level centers on taking on increasing ownership rather than accumulating years. Build depth in one or two AI domains, such as NLP, computer vision, or ML ops, until you can design solutions independently. Seek out projects where you lead delivery, handle stakeholder communication, and make technical tradeoffs. Demonstrating measurable impact on real systems is what signals readiness for mid level responsibilities.
Which industries hire the most mid level ai solutions engineers?
Mid Level ai solutions engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Banking & Financial Services, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring because they are actively embedding AI into customer-facing products, internal workflows, and data platforms, creating sustained demand for engineers who can own solution design at a mid level of seniority.