DE-ET-Deployment Engineer Manager-GDS
Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 29, 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.
Position: Forward Deployed Engineer - Digital Engineering (Manager)
EY Consulting Digital Engineering is seeking highly skilled and customer focused Forward Deployed Engineers (FDEs) to operate at the frontlines of enterprise transformation. This role sits at the intersection of product engineering, platform architecture, AI-led solutioning, and client value realization, requiring deep hands-on technical expertise combined with strong consulting acumen.
The Opportunity
As an FDE in Digital Engineering, you will work directly with clients to co-create, engineer, and scale AI-first digital solutions that accelerate business outcomes. You will play a critical role in translating business problems into PDLC-driven solutions, rapidly moving from POCs to enterprise-grade platforms, and embedding GenAI, data, and cloud-native engineering into core business workflows.
You will be instrumental in driving future-ready digital engineering capabilities across product engineering, platform modernization, and AI-enabled transformation programs.
Your Key Responsibilities
Customer Engagement & Solution Delivery
- Partner with clients to shape business problems into solution hypotheses aligned to PDLC (Product Delivery Lifecycle).
- Drive co-creation workshops, rapid prototyping, and outcome-led solution design.
- Translate ambiguous requirements into architecture, data flows, and scalable engineering constructs.
- Deliver end-to-end solutions spanning discovery, POC, MVP, and enterprise-scale rollout.
- Anchor business value realization (cycle time reduction, cost efficiency, productivity gains) as part of delivery.
Engineering & Development
- Build AI-first, cloud-native applications and platforms using modern engineering practices.
- Develop accelerators, reusable components, and engineering patterns for repeatable delivery.
- Work across APIs, microservices, event-driven systems, and composable architectures.
- Integrate GenAI copilots, agents, and automation into enterprise workflows.
- Drive engineering excellence (performance, scalability, resilience, security).
Emerging Technology Enablement
- Apply and scale cutting-edge capabilities across:
- Generative AI & Agentic AI (LLMs, copilots, multi-agent systems)
- Data platforms & real-time intelligence
- Cloud-native & platform engineering (Azure/AWS/GCP)
- Automation & intelligent workflows
- Evaluate, incubate, and industrialize new tools, frameworks, and accelerators within DE.
- Contribute to future readiness initiatives (e.g., advanced compute paradigms, next-gen architectures).
Collaboration & Stakeholder Management
- Act as a bridge between business stakeholders, product owners, and engineering teams.
- Collaborate with cross-functional squads (architects, data scientists, designers, and product teams).
- Provide technical leadership in FDE engagements, influencing architecture and delivery direction.
- Present value articulation, solution architecture, and outcomes to CXO and senior stakeholders.
Deployment & Support
- Lead CI/CD, DevSecOps, and production rollout strategies.
- Ensure seamless transition from POC to scaled deployment across environments.
- Troubleshoot and resolve complex production issues in client environments.
- Drive continuous optimization using telemetry, feedback, and usage insights.
Soft Skills
- Consulting excellence: Strong client engagement and storytelling skills with ability to influence senior stakeholders.
- Outcome orientation: Focus on measurable business impact, not just technical output.
- Architectural mindset: Ability to design modular, composable, scalable digital platforms.
- Bias for action: Thrive in ambiguity with a build-first, iterate-fast mindset.
- Leadership: Ability to guide teams, mentor engineers, and own delivery outcomes.
To Qualify for the Role, You Must Have
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 5+ years of experience in digital/product engineering, solution architecture, or FDE/customer-facing engineering roles.
- Strong programming expertise (Python, Java, JavaScript, Go or similar).
- Hands-on experience with cloud platforms (Azure, AWS, or GCP).
- Experience in distributed systems, APIs, microservices, and event-driven architectures.
- Strong exposure to data engineering, pipelines, and modern data platforms.
- Proven experience in client-facing engagements or consulting-driven delivery models.
Ideally, You’ll Also Have
- Experience working in AI-led engineering / GenAI use cases / intelligent automation
- Exposure to PDLC, product-centric delivery models, or platform engineering
- Experience building POCs and scaling them to enterprise-grade solutions
- Strong problem-solving and structured thinking approach
- High adaptability in fast-paced, multi-stakeholder environments
- Strong ownership and accountability mindset
What Working at EY Offers
At EY Digital Engineering, you will operate in a high-impact, front-line engineering model, solving real-world business problems using AI, data, and platform engineering at scale.
You will:
- Work on transformative FDE engagements with global clients
- Build industry-leading AI-led digital solutions
- Be part of next-gen engineering transformation (GenAI, agentic systems, platformization)
- Gain access to continuous learning, innovation programs, and leadership opportunities
EY Offers
- A collaborative environment with global engineering talent and leadership
- Opportunities to drive end-to-end AI-led transformation programs
- Flexible work culture with strong focus on innovation and growth
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