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Ai Development Lead

  • Ai Development Lead job type Posted on: Oct 13, 2026
  • Ai Development Lead experience level Expert Technology Services
  • Ai Development Lead employment type Durham, North Carolina
  • Ai Development Lead employment type Onsite
  • Ai Development Lead salary Full-time

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Job Title :

Ai Development Lead

Job Type :

Full-Time

Job Location :

Durham North Carolina United States

Remote :

No

Jobcon Logo Job Description :

Job Summary (List Format): Senior/Lead AI Developer

- Serve as hands-on technical lead for modernization of enterprise applications, with a focus on AI-driven approaches.
- Triages and reverse-engineers unfamiliar legacy and current-state applications using AI agents/skills to map architecture, dependencies, integrations, and security flows.
- Designs and evolves reusable AI skills and agents for reverse engineering, code modification, migration, and verification tasks.
- Creates clear technical specifications and implementation plans from reverse-engineering findings for execution by AI-assisted development pods.
- Drives modernization of Java and .NET applications, managing upgrades to runtime, frameworks, dependencies, and infrastructure while preserving intended application architecture and behavior.
- Leads application security modernization, especially migrating legacy authorization to modern token-based identity and access models (Okta, OAuth/OIDC/JWT).
- Analyzes impact ("blast radius") of changes across databases, interfaces, shared libraries, batch jobs, and deployment pipelines.
- Breaks modernization work into increments, assigns tasks to team members, reviews agent/code outputs, and remains hands-on for complex/high-risk components.
- Continuously improves agent effectiveness by capturing reusable patterns, failure modes, prompt/instruction context, and verification steps.
- Collaborates with AI Test Leads, architects, security, infrastructure, and stakeholders to define acceptance criteria, quality gates, rollback, and production-readiness.
- Leads technical troubleshooting and root-cause analysis for complex failures and incidents, leveraging strong production incident experience.
- Mentors developers in agentic engineering, spec-driven development, secure coding, code review, and human-in-the-loop verification practices.
- Brings 7-10 years of software engineering experience, including production incident management, and 1-2 years of agentic engineering/AI project experience.
- No background check or drug screening required.

Jobcon Logo Position Details

Posted:

Oct 13, 2026

Reference Number:

15455-37283

Employment:

Full-time

City:

Durham

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Summary (List Format): Senior/Lead AI Developer

- Serve as hands-on technical lead for modernization of enterprise applications, with a focus on AI-driven approaches.
- Triages and reverse-engineers unfamiliar legacy and current-state applications using AI agents/skills to map architecture, dependencies, integrations, and security flows.
- Designs and evolves reusable AI skills and agents for reverse engineering, code modification, migration, and verification tasks.
- Creates clear technical specifications and implementation plans from reverse-engineering findings for execution by AI-assisted development pods.
- Drives modernization of Java and .NET applications, managing upgrades to runtime, frameworks, dependencies, and infrastructure while preserving intended application architecture and behavior.
- Leads application security modernization, especially migrating legacy authorization to modern token-based identity and access models (Okta, OAuth/OIDC/JWT).
- Analyzes impact ("blast radius") of changes across databases, interfaces, shared libraries, batch jobs, and deployment pipelines.
- Breaks modernization work into increments, assigns tasks to team members, reviews agent/code outputs, and remains hands-on for complex/high-risk components.
- Continuously improves agent effectiveness by capturing reusable patterns, failure modes, prompt/instruction context, and verification steps.
- Collaborates with AI Test Leads, architects, security, infrastructure, and stakeholders to define acceptance criteria, quality gates, rollback, and production-readiness.
- Leads technical troubleshooting and root-cause analysis for complex failures and incidents, leveraging strong production incident experience.
- Mentors developers in agentic engineering, spec-driven development, secure coding, code review, and human-in-the-loop verification practices.
- Brings 7-10 years of software engineering experience, including production incident management, and 1-2 years of agentic engineering/AI project experience.
- No background check or drug screening required.

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