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AI Software Engineering Lead
Job in
Columbus, Franklin County, Ohio, 43224, USA
Listed on 2026-06-03
Listing for:
Diverse Lynx
Full Time
position Listed on 2026-06-03
Job specializations:
-
Software Development
Software Engineer, AI Engineer
Job Description & How to Apply Below
Location:
Columbus, ohio / Remote
Duration:
Fulltime
Skills : Artificial Intelligence
Salary: $140,000-$160,000/Year
Must Have Technical/Functional Skills
The AI Software Engineering Lead is a hands-on practitioner responsible for launching and stabilizing a small pilot using Cursor IDE and Claude Code to improve software engineering productivity and quality. Success means moving quickly from experimentation to working patterns, establishing foundations, frameworks, and guardrails, enabling teams to adopt AI safely, and delivering practical playbooks that can be scaled beyond the pilot.
Key Responsibilities
- Pilot Execution (Hands-on)
- Lead and execute a focused pilot using Cursor and Claude Code within active engineering workflows.
- Apply AI for code generation, refactoring, testing, reviews, and documentation.
- Work closely with TCS and client engineers to demonstrate real, repeatable value.
- AI Engineering Foundations & Guardrails
- Define AI-in-software-engineering standards, usage patterns, and guardrails.
- Establish prompting patterns, validation approaches, and responsible-use boundaries.
- MCP Server Setup & Integration
- Set up and configure MCP servers for Claude Code.
- Enable secure, context-aware access to code, APIs, and documentation.
- Guide teams on when and how MCP should be used.
- Playbooks & Enablement
- Create lightweight playbooks covering setup, best practices, do s/don ts, and common workflows.
- Conduct working sessions to upskill teams and accelerate self-sufficiency.
- Core Skills
- Senior software engineer with strong hands-on coding experience.
- Practical experience using AI coding tools (Cursor, Claude Code, Copilot, or similar).
- Experience with MCP servers or equivalent context-injection mechanisms.
- Comfortable operating in fast-moving pilot environments.
- Nice-to-Have
- Experience creating engineering playbooks or internal standards.
- Enterprise delivery experience with security and governance constraints.
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