AI-native Engineering Manager

Avenga is an international engineering firm helping businesses operate with AI at the core. With 6,000+ experts worldwide, we combine engineering expertise with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets. At the core of the role We are looking for an AI-Native Engineering Manager to help shape how AI is integrated into modern software delivery practices. In this role, you will work at the intersection of software engineering, AI-assisted development, and technical leadership. You will support delivery teams in adopting AI-native ways of working, establish standards and evaluation frameworks for AI-generated outputs, and help identify opportunities to improve engineering productivity through AI technologies. You will collaborate closely with engineering leaders, delivery teams, and clients, contributing to both technical strategy and practical implementation of AI-enabled engineering workflows. Core skills you’ll bring 10+ years of experience in software development 3+ years of experience in a Tech Lead, Team Lead, or similar technical leadership role Comfortable working directly with clients, facilitating workshops, challenging requirements, and communicating technical trade-offs to non-technical stakeholders Experience with LLM APIs (e.g. OpenAI, Anthropic) Experience with agent frameworks such as LangGraph, CrewAI, PydanticAI, or similar Experience working with Model Context Protocol (MCP) Practical experience with AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar Ability to define and implement team workflows around AI-assisted development Strong understanding of software architecture, system design, and engineering trade-offs Understanding of AI security risks, including prompt injection, adversarial inputs, and data leakage in agentic workflows Familiarity with engineering productivity metrics such as DORA, Flow Metrics, AI-assisted PR merge rates, and agent output acceptance rates Excellent communication and stakeholder management skills Ability to work effectively in a collaborative and fast-evolving environment Nice-to-have: Experience driving AI adoption across multiple engineering teams Experience establishing engineering standards and governance frameworks around AI-enabled development The impact you'll create Define technical direction for delivery teams and promote the creation of reusable engineering assets Drive the adoption of AI-assisted development practices, including code generation, code review, and test automation Identify, evaluate, and pilot new AI use cases across the software delivery lifecycle Design and develop autonomous agents supporting SDLC activities and integrate them with platforms such as Jira, GitHub, and CI/CD systems through MCP Measure and report the impact of AI adoption on developer productivity Define quality gates, governance models, and evaluation frameworks for AI-generated code and agent outputs Contribute to internal AI initiatives, technology communities, seminars, and knowledge-sharing activities Evaluate and optimize AI tooling costs through model selection, caching strategies, and token budgeting Partner with Engineering Managers and technical leaders to upskill teams in AI-native engineering practices Support continuous improvement of engineering processes through responsible and effective use of AI technologies What supports your journey Through our values – Better Minds, Bolder Ideas, and Bigger Hearts – we strive to create a work environment where people feel supported, trusted, and empowered to grow. You’ll have the opportunity to influence how AI transforms software engineering practices, work with cutting-edge technologies, collaborate with experienced engineering leaders, and help shape the future of AI-native delivery across global teams. People are at the core of Avenga. We provide equal opportunities regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to a respectful environment where everyone can be themselves, share their ideas, and feel that they belong.