AI-native Engineering Manager
First seen by Alion on Jun 15, 2026. Avenga scores B on the Alion truth index.
This is us
At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.
This is the job
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.
This is you
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 skills:
Experience driving AI adoption across multiple engineering teams
Experience establishing engineering standards and governance frameworks around AI-enabled development
This is your role
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 awaits you at Avenga?
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.
At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.