at Deloitte
Big FourPosted 18 days ago
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- Compensation
- $134,500 – $265,100 USD
- City
- New York City, Atlanta, Austin, Chicago, Nashville, Sacramento, San Diego, Washington DC
- Country
- United States
Currency: $ (USD)
Full Job Description
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Microsoft Forward Deployed Engineer - GPS
Arlington/Rosslyn, Virginia, United States
Atlanta, Georgia, United States
Austin, Texas, United States
Chicago, Illinois, United States
Nashville, Tennessee, United States
New York, New York, United States
Sacramento, California, United States
San Diego, California, United States
Caution against fraudulent job offers. Learn more.
Position Summary
Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients success. Youll 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 an Microsoft Forward Deployed Engineer (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.
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 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
The team
Qualifications
Required:
- Bachelor's degree (or equivalent) in Computer Science, Data Science, Engineering, or related field.
- 4+ years of experience in software engineering, data engineering, data science, or analytics engineering.
- 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
- 1+ years of experience with Microsoft including hands on experience with one of the following key platform technologies: production-grade Python and TypeScript or C#, Azure AI Foundry and Azure OpenAI hands-on experience, Azure AI Search with real RAG implementation experience
- 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.
- 1+ years experience with Copilot Studio and/or M365 Copilot extensibility (declarative agents, API plugins, Graph connectors)
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Ability to obtain and maintain a US government security clearance.
Preferred:
- 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.
- Semantic Kernel or AutoGen; agentic patterns; structured output and tool/function calling
- Microsoft Fabric, Synapse, or Databricks-on-Azure
- Eval frameworks, prompt engineering rigor, responsible AI (content safety, red-teaming, PII)
- Azure landing zone fluency
- GPS experience
- MCT, MVP, or meaningful certs (AI-102, AZ-204, DP-700, Copilot certs)
- Prior FDE experience at Palantir, OpenAI, Anthropic, or similar
- Experience operating within hybrid onshore/offshore teams.
- Familiarity with security, privacy, and compliance considerations.
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.
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
From entry-level employees to senior leaders, we believe theres always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
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