The organization is looking to transform into an AI-augmented engineering powerhouse and needs an AI Engineering Lead to drive this transformation, leveraging AI to modernize legacy systems, accelerate development, and deliver breakthrough innovations.
Requirements
- 3+ years of software development in C-Sharp/.NET or similar enterprise environments
- Active daily user of AI development tools with demonstrated productivity gains
- Experience with Git/Azure DevOps and modern development practices
- Proven ability to learn quickly and adapt to emerging technologies
- Proven teaching, mentoring, or technical training experience preferred
- Natural ability to inspire and motivate peers preferred
- Track record of driving adoption of new technologies or processes preferred
Responsibilities
- Execute sprint-based rapid interventions: In 1-2 week sprints, transform critical but neglected codebases (e.g., convert a 10,000-line undocumented VB6 module into documented, tested, AI-ready C-Sharp with comprehensive handoff materials)
- Deploy for rapid engagements where product management identifies high-impact opportunities
- Create hand-off packages that enable seamless transitions to responsible teams, including architecture diagrams, test suites, and AI-ready documentation
- Serve as an 'AI pair programmer' trainer for critical modernization initiatives
- Transform undocumented legacy code into maintainable, AI-ready codebases with 90%+ test coverage
- Identify opportunities for ML/AI enhancement across products and processes
- Evaluate and prototype AI-powered features such as: Fraud detection, automated validation systems, Intelligent reporting and analytics dashboards, Automating compliance reporting with NLP-based document analysis
Other
- Strong communication skills to influence technical and non-technical stakeholders
- Change management experience or certification preferred
- Proven ability to work with managers to integrate AI into sprint planning and workflows
- Ability to create 'safe failure' environments where engineers can experiment without judgment
- Ability to document and address common concerns (job security, code quality, learning curve)
