Establish, mature, and scale the Intelligent Engineering Community of Practice (CoP), promoting cross-functional learning, collaboration, and engineering excellence.
Translate enterprise engineering roadmaps into actionable initiatives while proactively introducing new technologies, frameworks, and practices.
Develop capabilities, tools, and talent models to expand the Intelligent Engineering footprint globally.
Embed AI, automation, and analytics into day-to-day engineering activities (design, coding, testing, deployment, monitoring).
Champion the adoption of AI-powered DevOps, continuous quality engineering, test automation, and cloud-native practices across engagements.
Lead continuous improvement programs to drive measurable outcomes in speed, quality, and cost efficiency.
Co-own, package, and monetize ATONIS, our proprietary productivity and engineering intelligence platform.
Requirements
20+ years of experience in engineering, product development, or productivity/transformation leadership roles.
Proven expertise in AI-enabled engineering across the PDLC, including DevOps, automation, quality engineering, and developer productivity.
Track record of scaling IP-led services, platforms, or internal ventures.
Strong client-facing experience, with ability to engage CxO-level stakeholders and influence strategic decisions.
Deep understanding of software engineering metrics, delivery models, and process improvement methodologies.
Experience in global delivery environments and managing cross-functional, distributed teams.
Excellent communication, storytelling, and influencing skills to connect technical value with business outcomes.
Prior exposure to product/platform strategy, innovation, or consulting is highly desirable.
Benefits
Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.