Senior Manager - Full-Stack AI Engineering
Confirmed on the employer's own hiring board on Nov 9, 2026. First seen by Alion on Nov 9, 2026.
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
Role Overview
We are seeking an experienced Senior Manager - Full-Stack AI Engineering to lead the design, development, and delivery of AI-powered applications and intelligent solutions across global engagements. The ideal candidate combines strong AI Engineering and software engineering expertise with proven leadership experience. This role requires an individual who can lead teams of Full-Stack AI Engineers, translate client requirements into scalable solutions, engage directly with stakeholders, and contribute to the continued growth of EY's AI Engineering capabilities.
Key Responsibilities
- Design and deliver enterprise AI applications leveraging Generative AI, LLMs, AI Agents, and RAG architectures.
- Architect and integrate AI services, cloud platforms, APIs, and enterprise applications into scalable solutions.
- Lead teams building AI applications using Python, React, backend APIs, microservices, and cloud-native technologies.
- Drive adoption of SDLC, DevOps, CI/CD, MLOps, and AI Engineering best practices.
- Translate business requirements into practical AI solutions and lead client workshops and presentations.
- Support solutioning, proposals, strategic pursuits, and AI Engineering practice growth.
- Mentor and develop Full-Stack AI Engineers and technical leads.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or related field.
- 10+ years of experience in software engineering, AI Engineering, cloud engineering, or application development.
- Strong understanding of AI Engineering and AI-enabled application development.
- Hands-on experience with Python, React, backend APIs, microservices, cloud-native development, and enterprise integration.
- Experience building AI solutions leveraging Generative AI, LLMs, AI Agents, and RAG.
- Experience with Azure, AWS, or GCP cloud platforms.
- Proven experience leading technical teams and delivering enterprise-scale solutions.
- Strong communication, stakeholder management, consulting, and leadership skills.
Preferred Qualifications
- Experience with Azure AI Services, Azure OpenAI, Azure AI Foundry, AWS Bedrock, Vertex AI, Databricks, or Microsoft Fabric.
- Experience building AI copilots, AI assistants, intelligent search, and AI-powered applications.
- Relevant cloud, AI, or engineering certifications.
What Success Looks Like
- Deliver scalable AI-enabled applications that create measurable business value.
- Build and lead high-performing Full-Stack AI Engineering teams.
- Establish trusted client relationships and provide technical leadership.
- Contribute to practice growth, innovation, and capability development.
- Help shape the future roadmap of AI Engineering within EY GDS.
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
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Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.