Senior AWS Forward Deployed Engineer - GPS

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success.

You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses.

Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Senior AWS FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions.

This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one.

Additional responsibilities include:

Client Engagement


* Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.


* Partner with leaders, product owners, architects, and engineers to align priorities and delivery.


* Lead working sessions to shape solutions and drive client outcomes.


* Prototype and deliver working AI solutions using industry expertise and emerging capabilities.


* Contribute independently within an FDE pod while mentoring newer team members.


* Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.


* Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.


* Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.

Solution Engineering


* Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.


* Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.


* Apply architecture decisions that balance quality, safety, latency, cost, and model risk.


* Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.


* Design extensible functionality, support sprint sizing, and align solutions with senior team members.


* Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

A successful candidate would possess these skills:


* Ability to work independently and collaborate as part of a team


* Effective written and verbal communication skills


* Meticulous attention to detail and quality of work product


* Ability to build and sustain professional relationships


* Ability to lead projects or workstreams


* Ability to manage ...