DE-ET-Deployment Engineer Manager-GDS

At EY youll 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 were 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

• Bachelors or Masters 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 Youll 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

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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