AI Expert / Lead AI Implementer

AI Strategy & Implementation
Support the implementation of AI strategies and technical roadmaps across software development projects.
Identify opportunities to integrate AI into existing development, testing, and engineering workflows.
Implement AI-powered solutions that improve software development productivity, quality, automation, and efficiency.
Collaborate with architects, developers, testers, and project teams to translate AI opportunities into practical technical solutions.
Evaluate emerging AI technologies and recommend solutions based on technical feasibility and business value.

Training & Enablement
Train, mentor, and enable developers and testers on the effective use of AI tools and methodologies.
Promote the use of AI coding assistants, AI-driven testing tools, and AI-enabled SDLC practices.
Develop demonstrations, technical guidance, and best practices to accelerate AI adoption across engineering teams.
Support teams in identifying appropriate AI tools for coding, QA, test automation, documentation, and other software engineering activities.

Client Consulting
Participate in client discussions as an AI subject matter expert.
Understand client business and technology challenges and identify relevant AI opportunities.
Translate complex AI concepts into clear business value, outcomes, and potential ROI.
Collaborate with clients and internal stakeholders to define actionable AI use cases and implementation approaches.
Support technical presentations, solution discussions, and AI capability showcases.

Proof of Concept & Innovation
Design, develop, and evaluate Proofs of Concept (PoCs) for emerging AI and Generative AI technologies.
Assess the technical feasibility, scalability, security, and business value of AI solutions.
Rapidly prototype AI use cases and demonstrate outcomes to engineering teams, leadership, and clients.
Document PoC findings, lessons learned, technical recommendations, and potential production implementation approaches.
Stay current with emerging AI/ML, Generative AI, AI-assisted development, and automation technologies.

AI Advocacy & Showcasing
Present successful AI implementations, PoC outcomes, and best practices to internal teams and leadership.
Support AI awareness and adoption initiatives across the engineering organization.
Act as an AI champion by identifying opportunities for continuous improvement and innovation.
Contribute to internal AI knowledge repositories, technical documentation, and reusable assets.