AI Lead

A consulting services firm is seeking an AI Lead in New Jersey, New York, or Pennsylvania to guide an AI-assisted software engineering practice focused on code generation, developer experience, and enterprise governance.

• Schedule: Monday through Friday
• Hours: Standard business
• Setting: Remote

• Define and package client-facing AI software engineering advisory offerings, including readiness assessments, productivity benchmarking, and implementation frameworks
• Develop reusable intellectual property such as diagnostic models, ROI tools, security checklists, and governance blueprints
• Advise client leadership on AI adoption roadmaps, tool evaluation, implementation strategy, and enterprise-scale deployment
• Design AI assistant integrations with development environments, repositories, ticketing systems, and identity and access controls
• Establish governance, enablement, and metrics frameworks to support responsible AI use, developer adoption, and measurable productivity improvement

• 8+ years of hands-on software development, system integration, or technical consulting experience
• Bachelor's or Master's degree in Computer Science, Software Engineering, Management Information Systems, or equivalent practical experience
• Experience with generative AI engineering, modern LLMs, and AI coding assistants
• Experience with context engineering and RAG for software repositories, including AST parsing, vector databases, or code indexing
• Strong background in DevOps and CI/CD pipelines
• In-depth understanding of enterprise application architecture, clean code standards, unit testing frameworks, and API design
• Experience presenting to C-suite and senior engineering leadership
• Ability to structure ambiguous client challenges into consulting workstreams and deliverables
• Deep knowledge of software intellectual property laws, open-source licensing, and cybersecurity governance
• Experience implementing software engineering productivity metrics frameworks such as SPACE or DORA

• Relevant certifications such as AWS Solutions Architect, Azure Solutions Architect Expert, or AI/ML certifications
• Experience within a technology consulting firm, systems integrator, or professional services organization
• Familiarity with GitHub Copilot Enterprise, Amazon Q Developer, Tabnine, Claude Code, or Cursor
• Knowledge of GitHub Actions, GitLab CI, Jenkins, SonarQube, and Snyk
• Exposure to enterprise SSO, RBAC, Jira, GitHub, GitLab, or Bitbucket integrations