AWS Forward Deployed Engineer, GPS

About the Role

Deloitte AI & Engineering team transforms technology platforms, drives innovation, and impacts client success by reimagining and reengineering critical business operations and processes. This role contributes to improving financial performance, accelerating digital ventures, and fueling growth.

Key Responsibilities

• 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, 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.

• Data Engineering (Consultant, Data Engineering - GPS AI & Data team)

• Develop, design, and maintain cutting-edge AI-based systems, ensuring smooth and engaging user experiences.

• Participate in a wide variety of Natural Language Processing activities, including refining and optimizing prompts to improve the outcome of Large Language Models (LLMs), and code and design review.

• Develop and promote standards across the community.

• Work with leadership and stakeholders to identify AI opportunities and promote strategy.

• Build and prioritize backlog for future machine-learning enabled features to support client business processes.

Requirements & Tech Stack

• Proven experience with cloud-hyperscalers (AWS, Azure, GCP)
• Proven experience with big data technologies, i.e. Angular, React, NodeJS, C#, .Net, Java, Golang, SQL

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or another quantitative field or equivalent experience.

• 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 and prioritize multiple tasks in a fast-paced and dynamic environment.

• Strong interpersonal skills and professional demeanor.

• Ability to meet deadlines.

• Ability to mentor and provide clear guidance to others.

• Required Experience:

• 3+ years of experience programming in Python or R with libraries like Tensorflow, PyTorch, or Keras.

• 3+ years of experience with NLP and LLM, especially focused on GenAI technologies such as OpenAI, Claude, Gemini, etc.

• 1+ years of understanding of machine learning algorithms, including supervised and unsupervised learning.

• Preferred Experience:

• 1+ years of experience supporting government or public sector data programs.

• Master's Degree in related technical discipline.

• Experience working with Agile delivery methods.

• Experience with Agentic AI development.

• Ability to travel 10%, on average.

• Limited Sponsorship is available.