First seen by Alion on Nov 10, 2026. EPAM Systems scores C on the Alion truth index.
Please note that this job ad is sourced from LinkedIn. We do not guarantee the accuracy of the information provided.
About the job
We are looking for an AI Native Delivery Manager to lead high-performing, cross-functional AI-native delivery pods across production client engagements. In this role, you will be responsible for orchestrating end-to-end software delivery by leveraging AI-accelerated Software Development Life Cycle (AI SDLC) models, Spec-Driven Development (SDD), and modern AI coding infrastructure.
This role is ideal for experienced Delivery Managers or Engineering Managers with a strong software engineering background who have actively integrated AI tools into their delivery workflows and are passionate about setting new benchmarks for software delivery speed and quality.
Responsibilities
- Lead AI-Native Pods: Oversee and manage cross-functional engineering pods, ensuring predictable, high-quality delivery across billable client engagements
- Champion AI SDLC & SDD: Drive adoption of Spec-Driven Development (SDD) and AI-assisted workflows (coding, testing, architecture, and documentation) to maximize delivery velocity and code quality
- Delivery Governance & Execution: Manage backlog execution, track key performance metrics (throughput, lead time, quality gates), and ensure delivery commitments are consistently met
- Stakeholder & Architect Alignment: Partner closely with Solution Architects, Product Owners, and Client Delivery Leads to proactively manage scope, identify risks early, and unblock engineering teams
- Continuous Feedback & Knowledge Capture: Capture delivery metrics, harvest AI artifacts, spec patterns, and post-engagement insights to continually refine and scale the broader AI delivery ecosystem
- Engineering Background: Proven background in software engineering (formerly an engineer, tech lead, or hands-on manager) with a solid understanding of modern software architecture and development pipelines
- Delivery Leadership: 3+ years of experience as a Delivery Manager or Engineering Manager leading technical teams in agile client engagements
- AI Tooling & SDLC Proficiency: Practical experience using AI-accelerated development tools (e.g., GitHub Copilot, Cursor, Claude Code, etc.) and integrating them into team workflows
- Agile & SDD Mastery: Deep understanding of Spec-Driven Development, user story decomposition, prompt engineering for development, and modern CI/CD practices
- Outcome & Value Driven: Focused on delivering tangible business value, velocity metrics, and production-ready features rather than tracking vanity activities
- Proactive Ownership: Demonstrates strong accountability, surfaces delivery risks early, and effectively bridges technical teams with client stakeholders
- Adaptability & Continuous Learning: Passionate about staying ahead of rapid advancements in AI tools, agentic workflows, and emerging delivery paradigms
- Communication: Strong English communication skills (B2+/C1 level) with the ability to articulate technical trade-offs and delivery progress to senior leadership and clients
- Career development opportunities with a transparent career path
- Wide range of professional trainings, workshops, and mentoring programs plus unlimited access to LinkedIn Learning
- Learning resources and financial support for completing certification programs
- Christmas and Vacation bonus
- Corporate Health Insurance (basic and supplementary)
- Free yearly medical check-ups
- 25 days of vacation
Thank you for your interest in this position. Please note that only candidates whose experience closely matches the job requirements will be contacted. If you do not receive an email from us, please do not be discouraged—feel free to apply for other positions that better align with your experience. If you have any questions, you can reach us at [email protected].

