Coforge
SeniorAIEngineeringLead
Neural analysis suggests this role is
optimal for Lead candidates.
“Senior AI Engineering Lead at Coforge. Skills: AI Adoption, Engineering Leadership, AI Tools, Software Engineering, Change Management, Mentorship, Agile, Technical Leadership, Team Enablement. Lead and guide engineering teams in the adoption of AI tools and practices across the software development lifecycle, including planning, coding, testing, documentation, and delivery.. Coach and mentor engineering teams on effective, responsible, and scalable AI adoption to improve productivity, quality, a”
What You'll Achieve.
improve productivity, quality, and engineering consistency; engineering productivity; continuous improvement
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science, Engineering, Mechatronics, Information Technology, or equivalent practical experience., 10+ years of professional experience in software engineering or related engineering disciplines., engineering background with credibility working alongside senior engineering teams., Proven experience leading or managing engineering teams as a Tech Lead, Engineering Manager, or similar leadership role., Experience mentoring, coaching, or enabling engineers beyond hands-on software delivery., Familiarity with AI tools and AI-assisted workflows within software engineering environments., understanding of software development lifecycle (SDLC) processes and engineering best practices., Demonstrated experience managing organizational change, team dynamics, and technology adoption initiatives., communication, facilitation, stakeholder management, and collaboration skills., Experience working in Agile environments with a focus on engineering productivity and continuous improvement.
Nice to Have
Experience implementing AI-powered workflows across engineering organizations., Familiarity with tools such as GitHub Copilot, Claude Code, Cursor, or similar AI development platforms., Exposure to change management, organizational enablement, or transformation programs., Experience working across multidisciplinary engineering environments.
What You'll Do.
Lead and guide engineering teams in the adoption of AI tools and practices across the software development lifecycle
Coach and mentor engineering teams on effective
and scalable AI adoption to improve productivity
and engineering consistency.
Act as a technical and people leader
facilitating collaboration
and addressing adoption challenges across teams.
Drive continuous improvement initiatives by identifying workflow gaps
supporting enablement strategies
and ensuring sustainable AI integration into engineering practices.
How You'll Work.
Team & Collaboration
facilitating collaboration; managing change; addressing adoption challenges across teams; working across multidisciplinary engineering environments
Communication Scope
communication skills
Full Job Description
Job Title: Senior AI Engineering Lead Key Skills: AI Adoption, SDLC, Engineering Leadership, AI Tools, Software Engineering, Change Management, Mentorship, Agile, Technical Leadership, Team Enablement Experience: +10 YOE. Location: Bolivia Mode: Remote. We at Coforge are hiring Senior AI Engineering Lead (#21128) with the following skill set. Key Responsibilities Lead and guide engineering teams in the adoption of AI tools and practices across the software development lifecycle, including planning, coding, testing, documentation, and delivery. Coach and mentor engineering teams on effective, responsible, and scalable AI adoption to improve productivity, quality, and engineering consistency. Act as a technical and people leader, facilitating collaboration, managing change, and addressing adoption challenges across teams. Drive continuous improvement initiatives by identifying workflow gaps, supporting enablement strategies, and ensuring sustainable AI integration into engineering practices. Required Skills & Qualifications Bachelor’s degree in Computer Science, Engineering, Mechatronics, Information Technology, or equivalent practical experience. 10+ years of professional experience in software engineering or related engineering disciplines. Strong engineering background with credibility working alongside senior engineering teams. Proven experience leading or managing engineering teams as a Tech Lead, Engineering Manager, or similar leadership role. Experience mentoring, coaching, or enabling engineers beyond hands-on software delivery. Familiarity with AI tools and AI-assisted workflows within software engineering environments. Strong understanding of software development lifecycle (SDLC) processes and engineering best practices. Demonstrated experience managing organizational change, team dynamics, and technology adoption initiatives. Strong communication, facilitation, stakeholder management, and collaboration skills. Experience working in Agile environments with
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