Forward Deployed Engineer- AWS
Deloitte · Dallas, TX
- On site
- Full-time
- $265,000 / year
- Dallas, TX
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Job highlights
- Build and deploy GenAI solutions with AWS.
- Engage directly with clients to identify needs.
- Develop scalable AI engineering patterns.
- Collaborate with senior technical teams.
- Drive measurable business impact from day one.
About the role
Forward Deployed Engineer AWS
At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.
Recruiting for this role ends on September 30, 2026.
Work you'll do
As an AWS AI&Data 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.
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.
The team
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Required Qualifications
- Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering
- 3+ years of experience in software engineering, data engineering, data science, or analytics engineering
- 1+ years of experience with AWS AI&Data including hands on experience with one of the following key platforms/products; Amazon Bedrock, Bedrock Agents, Knowledge Bases, Guardrails
- 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
- 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
- 1+ years of experience building reliable, maintainable, and well-documented code
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred Qualifications
- Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
- Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
- Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
- Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
- Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
- Experience operating within hybrid onshore/offshore teams
- Familiarity with security, privacy, and compliance considerations
Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Key skills/competency
- AWS AI&Data
- Generative AI
- LLM
- Solution Engineering
- Client Engagement
- Software Engineering
- Data Engineering
- Cloud Platforms
- AI Solutions
- Problem-Solving
Skills & topics
- Forward Deployed Engineer
- AWS
- AI
- Data Science
- GenAI
- LLM
- Cloud Engineering
- Software Engineering
- Deloitte
- Client Engagement
How to get hired
- Tailor your resume: Highlight your AWS AI&Data experience, GenAI/LLM project work, and client-facing roles. Use keywords from the job description.
- Showcase problem-solving skills: Detail how you translate business problems into AI solutions and your experience in client engagement.
- Emphasize collaboration: Provide examples of working within teams (FDE pods, client teams) and mentoring others.
- Prepare for technical questions: Be ready to discuss AWS AI&Data services (Bedrock, Bedrock Agents), LLM deployment, and software engineering best practices.
- Demonstrate client impact: Use quantifiable results to show the business value you've delivered.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific AWS AI&Data services are most important for the Forward Deployed Engineer role at Deloitte?
- The role emphasizes hands-on experience with AWS AI&Data, particularly platforms like Amazon Bedrock, Bedrock Agents, Knowledge Bases, and Guardrails. Proficiency in these areas will be crucial for developing and deploying GenAI solutions for clients.
- How much travel is expected for the Forward Deployed Engineer position at Deloitte?
- The role requires the ability to travel up to 50% on average. This travel is dependent on the specific client work, industries, and sectors you will be serving.
- What is the experience level required for a Forward Deployed Engineer at Deloitte focusing on AWS AI&Data?
- The minimum requirements include a Bachelor's degree, 3+ years in software/data engineering or data science, and at least 1 year of experience with AWS AI&Data, GenAI/LLM solutions, and leading project workstreams.
- What kind of impact does a Forward Deployed Engineer make at Deloitte?
- Forward Deployed Engineers at Deloitte help clients turn AI ambitions into enterprise-scale impact by rapidly prototyping and delivering high-impact GenAI-enabled solutions, driving measurable business impact from day one.
- What are the key responsibilities of a Forward Deployed Engineer in client engagement at Deloitte?
- In client engagement, FDEs embed with clients to identify business needs, translate GenAI use cases into solutions, lead working sessions, and partner with leaders to drive client outcomes and prototype AI solutions.
- What does the 'AI & Engineering' team at Deloitte focus on?
- The AI & Engineering team leverages cutting-edge capabilities to build, deploy, and operate sector solutions in software, data, AI, network, and hybrid cloud infrastructure, focusing on engineering for business advantage and modernizing technology platforms.
- Are there opportunities for career growth for a Forward Deployed Engineer at Deloitte?
- Yes, the role involves working at the forefront of AI transformations, contributing to enterprise-scale impact, and potentially mentoring newer team members, suggesting pathways for growth within AI and client-facing roles.