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Senior Consultant, Forensic Investigations Accountant
Deloitte
Tampa, FL
The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional…
Added just now
Senior Java Developer - Vice President
Citigroup
Tampa, FL
…processes and manages data at scale, within a hybrid working model that balances collaboration and…
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Technical Campaign Manager
Careers – Cheil North America
Plano, TX
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Client Service Account Manager - Vice President
JPMorgan Chase
Tampa, FL
…advancing digital and AI-enabled capabilities across the service…
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Data Scientist II (Mid Level) - Pricing and Product Analytics
USAA
Tampa, FL
…library of internal packages and applications and work with model risk management to validate the results and stability of models before being pushed to production at…
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BA
Systems Engineer
Butler America
Orlando, FL
- $85 to $100 USD / hour
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BA
Systems Engineer
Butler America
Orlando, FL
- $70 to $85 USD / hour
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O
Product Growth
OpenAI
San Francisco, CA · New York, NY
- $239,000 to $325,000 USD / year
…Engineering, including choosing useful signals, evaluating model quality, and testing the impact of targeted…
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Lead Forward Deployed Engineer, Palantir
Deloitte
Miami, FL · Tampa, FL · Jacksonville, FL
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
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Lead Forward Deployed Engineer, Microsoft AI & Data
Deloitte
Jacksonville, FL · Miami, FL · Tampa, FL
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
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Lead Forward Deployed Engineer, Frontier GenAI
Deloitte
Tampa, FL · Miami, FL · Jacksonville, FL
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
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Enterprise Operating Model Manager, Energy
Accenture
Miami, FL · St. Petersburg, FL
Accenture's Enterprise Operating Model practice. We partner with Boards, CEOs, and other C-Suite Leaders to co-create their future ways of working, based on their unique business and growth…
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Agentic AI Engineer, Senior
Deloitte
Miami, FL · Tampa, FL
AWS: Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases (retrieval, metadata filtering, re-ranking), Guardrails, Prompt Flows, and RAG pipelines…
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Senior Forward Deployed Engineer, ServiceNow
Deloitte
Miami, FL · Jacksonville, FL · Tampa, FL
Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
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Forward Deployed Engineer- ServiceNow
Deloitte
Jacksonville, FL · Miami, FL · Tampa, FL
Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
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Lead Forward Deployed Engineer, ServiceNow
Deloitte
Jacksonville, FL · Miami, FL · Tampa, FL
Added just now
Agentic AI Engineer, Senior - Anthropic/Claude
Deloitte
Miami, FL · Tampa, FL
Design and build Generative AI and agentic solutions using Claude, including agent orchestration, tool integration, and Model Context Protocol (MCP) based integrations, using the Claude…
Added just now
Senior Consultant, Forensic Investigations Accountant
Deloitte
Miami, FL
The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional…
Added just now
Agentic AI Engineer - Anthropic/Claude
Deloitte
Tampa, FL · Miami, FL
Design and build Generative AI and agentic solutions using Claude, including agent orchestration, tool integration, and Model Context Protocol (MCP) based integrations, using the Claude…
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HR Reinvention Consulting Sr. Manager, High Tech, Comms & Media or Software & Platforms
Accenture
Miami, FL · St. Petersburg, FL
HR Operating Model and Service Delivery Framework
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Organization Change Senior Manager, Software & Platforms or High Tech Industry
Accenture
St. Petersburg, FL · Miami, FL
…operate and lead effectively in human + digital teams. You model how AI is used in the flow of work, coach others to build confidence and capability, and help teams deliver high-impact…
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HR Reinvention Consulting Manager, High Tech Industry
Accenture
Miami, FL · St. Petersburg, FL
HR Operating Model and Service Delivery Framework
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Ruby Developer - Project Software Engineer III
Deloitte
Tampa, FL · Miami, FL · Tallahassee, FL · Jacksonville, FL
The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without…
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Agentic Delivery Software Engineer III
Deloitte
Tampa, FL · Miami, FL · Ft. Lauderdale, FL · Tallahassee, FL · Jacksonville, FL · Lake Mary, FL
Support implementation patterns for tool invocation, Model Context Protocol (MCP) integration, and multi-agent orchestration across specialized agent roles and delivery tasks
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AI Engineer II
Deloitte
Jacksonville, FL · Miami, FL · Tampa, FL
This role is hands-on and delivery-oriented: you will ship production pipelines and services that support model training, real-time inference, and LLM applications using Claude-,…

Closed listing

Deloitte

Lead Forward Deployed Engineer, Microsoft AI & Data

Stamford, CT, United States
Hartford, CT, 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.

About employer

More about this job

Skills

Problem solving
Debugging
Leadership
Communication skills
Risk management
Data management
CI/CD
Documentation
AWS
Microsoft Azure
Google Cloud
Computer science
Data engineering
Identity and access management
Apache Spark
Apache Airflow
dbt
Data modelling
ML
Microservices

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