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Added 8 mins ago
Staff Software Engineer, Data Platform
Scale AI
San Francisco, CA · NY
…role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You’ll also get widespread exposure to the forefront…
Added 10 mins ago
Platform Engineer - AVP
Barclays Services LLC
United States
Embark on a transformative journey as a Platform Engineer - AVP. At Barclays, our vision is clear – to redefine the future of banking and help craft innovative solutions. In this role, you…
Added 10 mins ago
O
Lead Principal Data Systems Software Engineer
Oracle
Pleasanton, CA · Redwood City, CA
- $122,800 to $306,400 USD / year
Oracle Exadata Database team is building a new cloud native, Autonomous, multi-tenant, database optimized, smart storage cloud service. This service is expected to scale across thousands of…
Added 10 mins ago
Sr. Frontend Engineer-Roundel
Target
Brooklyn Park, MN
As a Senior Engineer, you serve as a specialist in the engineering team that supports the product. You help develop and gain insight in the application architecture. You can distill an…
Added 10 mins ago
Lead Forward Deployed Engineer, Microsoft AI & Data
Deloitte
Minneapolis, MN
Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
Added 10 mins ago
Forward Deployed Engineer, Microsoft AI & Data
Deloitte
Minneapolis, MN
Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
Added 10 mins ago
Lead Forward Deployed Engineer, Frontier GenAI
Deloitte
Minneapolis, MN
Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
Added 10 mins ago
Forward Deployed Engineer, Frontier GenAI
Deloitte
Minneapolis, MN
Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
Added 10 mins ago
Forward Deployed Engineer- Palantir
Deloitte
Minneapolis, MN
Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
Added 10 mins ago
Lead Forward Deployed Engineer, Palantir
Deloitte
Minneapolis, MN
Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
Added 10 mins ago
Senior Forward Deployed Engineer, Palantir
Deloitte
Minneapolis, MN
Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
Added 10 mins ago
Senior Forward Deployed Engineer, Microsoft AI&Data
Deloitte
Minneapolis, MN
Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
Added 10 mins ago
Senior Forward Deployed Engineer, Frontier GenAI
Deloitte
Minneapolis, MN
Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
Added 10 mins ago
Sr Databricks Data Engineer
Deloitte
Minneapolis, MN
…environments, and unlock value through innovation. As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that…
Added 10 mins ago
Databricks Data Engineer
Deloitte
Minneapolis, MN
…artificial intelligence capabilities. As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale…
Added 10 mins ago
Forward Deployed Engineer- ServiceNow
Deloitte
Minneapolis, MN
Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
Added 10 mins ago
Senior Forward Deployed Engineer, ServiceNow
Deloitte
Minneapolis, MN
Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
Added 10 mins ago
Lead Forward Deployed Engineer, ServiceNow
Deloitte
Minneapolis, MN
Added 11 mins ago
Software Engineer II- ECM Specialization
Emergent Holdings, Inc.
Minneapolis, MN
Added 11 mins ago
Infrastructure Engineer I
Emergent Holdings, Inc.
Minneapolis, MN
The Infrastructure Engineer I role is responsible for the operations of secure and highly available computing platforms, servers, and networks. This role is responsible for installing,…
Added 11 mins ago
SRE- Core Infrastructure Engineer - Professional Level
ManpowerGroup
Minneapolis, MN
SRE/Core Infrastructure Engineer – Professional
Added 13 mins ago
Senior Site IT Engineer – Manufacturing
Elanco US Inc.
Fort Dodge, IA
Your Role: Senior Site IT Engineer – Manufacturing
Added 13 mins ago
Cloud Engineer - TS/SCI with Polygraph
GD Information Technology, Inc.
United States
Advance how our customers operate while you advance your career. Join GDIT as a Cloud Engineer and build an impactful career in enterprise IT, collaborating with people who are driven and…
Added 16 mins ago
Senior Embedded Software Engineer, Android OS
Google
San Jose, CA
…distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is…
Added 16 mins ago
Senior Software Engineer, Infrastructure, Payments Processing
Google
Mountain View, CA
…distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is…

Closed listing

Deloitte

Lead Forward Deployed Engineer, Microsoft AI & Data

Sacramento, CA, United States
San Diego, CA, United States
Costa Mesa, CA, United States
San Jose, CA, United States
Los Angeles, CA, United States
San Francisco, CA, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Posting language: English
Posted: May 27, 2026

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Original job description

Archived listing. The details below describe a past opening.

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 10/30/2026

Work you'll do

As a Lead Microsoft AI&Data FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI solutions into production for Deloitte's most strategic clients. You'll set technical direction, remove delivery blockers, and stay hands-on; designing, reviewing, and debugging systems with the team. You'll translate engineering trade-offs into clear decisions for client leaders when needed. Your ability to influence decisions at the C-suite level, while maintaining hands-on technical credibility, is what sets you apart. Pods under your leadership may be deployed onshore with clients or in hybrid onshore/offshore configurations, leveraging Deloitte's global delivery capability to maximize speed and scale.

Client Engagement

Serve as the senior client-facing presence, building trusted advisor relationships as the senior engineering partner for client product, data, and platform leaders
Lead executive-level discovery, define success metrics (quality, latency, cost, adoption, risk) and a phased plan from prototype to production and scaling
Navigate organizational complexity and influence to align executive sponsors, IT leadership, and business owners around a shared vision
Represent Deloitte's FDE capability in client pursuits, executive briefings, and platform partner engagements-contributing to pipeline development and deal shaping.

Cross-Functional Pod Leadership & Program Governance

Lead FDE pods of 2-5 onshore anchored and offshore supported engineers, owning execution, resource management, escalations and overall delivery health
Enforce delivery standards across the pod: sprint cadences, stakeholder communication plans, risk management, and quality gates
Coordinate multi-pod or multi-workstream engagements, ensuring reliable architecture and consistent client experience.
Mentor and develop junior FDEs

GenAI Solution Development

Architect and oversee delivery of LLM-enabled applications including copilots, agentic workflows, assistants, and knowledge search experiences using one or more enterprise AI platforms (see Platform Requirements below)
Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls
Govern end-to-end RAG pipeline design-including ingestion, chunking, embedding, vector retrieval, and hybrid search-ensuring production-grade quality and scalability.
Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and governance; ensure the pod meets agreed engineering quality bars to these standards.

Engineering & Data Foundations

Review and contribute to production-quality code
Guide architecture of data pipelines powering GenAI use cases
Enforce strong data management, testing, CI/CD, logging, versioning, and documentation practices
Deep familiarity with cloud environments (AWS, Azure, and/or Google Cloud)

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.
7+ 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 AI&Data including hands on experience with Azure AI Foundry
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

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 $189,200 to $372,900.

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.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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