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Machine Learning Engineer
ADT
Boca Raton, FL
As an ML Engineer II on the AI, Automation & Data team, you will independently design, deploy, operate, and continuously improve production machine learning, generative AI, and…
Added 1 min ago
Salesforce Developer
MetLife
Tampa, FL
The Sales Technology Developer is an early-career software and platform engineer who helps build, test, configure, and support Salesforce-based capabilities for the GB360 Sales scaled…
Added 1 min ago
Information Security Advisor - Detection Engineer
Elevance Health
Tampa, FL
The Information Security Advisor - Detection Engineer is responsible for the delivery of strategic network security, access control and secure transaction/messaging solutions. Ensures…
Added 1 min ago
Site Reliability Engineer II
JPMorgan Chase
Tampa, FL
As a Site Reliability Engineer II at JPMorganChase within the Commercial & Investment Bank - Payments Technology team, you will use technology to solve complex business problems and apply…
Added 1 min ago
Forward Deployed Engineer- Palantir
Deloitte
Tampa, FL · Jacksonville, FL · Miami, FL
Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
Added 1 min ago
Lead Forward Deployed Engineer, Palantir
Deloitte
Miami, FL · Tampa, FL · Jacksonville, FL
Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls
Added 1 min ago
Forward Deployed Engineer, Frontier GenAI
Deloitte
Tampa, FL · Jacksonville, FL · Miami, FL
Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
Added 1 min ago
Lead Forward Deployed Engineer, Microsoft AI & Data
Deloitte
Jacksonville, FL · Miami, FL · Tampa, FL
Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls
Added 1 min ago
Lead Forward Deployed Engineer, Frontier GenAI
Deloitte
Tampa, FL · Miami, FL · Jacksonville, FL
Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls
Added 1 min ago
Forward Deployed Engineer, Microsoft AI & Data
Deloitte
Jacksonville, FL · Tampa, FL · Miami, FL
Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
Added 1 min ago
Senior Forward Deployed Engineer, Palantir
Deloitte
Tampa, FL · Jacksonville, FL · Miami, FL
Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
Added 1 min ago
Senior Forward Deployed Engineer, Frontier GenAI
Deloitte
Miami, FL · Jacksonville, FL · Tampa, FL
Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
Added 1 min ago
Senior Forward Deployed Engineer, Microsoft AI&Data
Deloitte
Jacksonville, FL · Miami, FL · Tampa, FL
Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
Added 1 min ago
Senior Forward Deployed Engineer, ServiceNow
Deloitte
Miami, FL · Jacksonville, FL · Tampa, FL
Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
Added 2 mins ago
Forward Deployed Engineer- ServiceNow
Deloitte
Jacksonville, FL · Miami, FL · Tampa, FL
Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
Added 2 mins ago
Lead Forward Deployed Engineer, ServiceNow
Deloitte
Jacksonville, FL · Miami, FL · Tampa, FL
Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls
Added 2 mins ago
Agentic AI Engineer, Senior - Anthropic/Claude
Deloitte
Miami, FL · Tampa, FL
As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.
Added 2 mins ago
Agentic AI Engineer - Anthropic/Claude
Deloitte
Tampa, FL · Miami, FL
As an AI and Data Science Engineer II on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.
Added 2 mins ago
Agentic Delivery Software Engineer III
Deloitte
Tampa, FL · Miami, FL · Ft. Lauderdale, FL · Tallahassee, FL · Jacksonville, FL · Lake Mary, FL
As a Software Engineer III on the Customer team, you will advance AI-assisted software delivery, AI agent development, and agentic system implementation by helping teams translate…
Added 2 mins ago
AI & Data Science Engineer II
Deloitte
Miami, FL · Tampa, FL
As an AI and Data Science Engineer II on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.
Added 2 mins ago
AI Engineer II
Deloitte
Jacksonville, FL · Miami, FL · Tampa, FL
…significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics.…
Added 2 mins ago
Data Engineer II
Deloitte
Miami, FL · Tampa, FL · Jacksonville, FL
The Data Engineer Consultant will support data architecture and engineering delivery that enables artificial intelligence (AI), machine learning (ML), and generative AI (GenAI) solutions,…
Added 2 mins ago
AI Engineer III
Deloitte
Jacksonville, FL · Miami, FL · Tampa, FL
…significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics.…
Added 2 mins ago
Junior / Assistant Electrical Engineer
McFarland-Johnson, Inc
Hollywood, FL
Develop interior, exterior, and site lighting layouts, lighting controls, and photometric studies.
Added 2 mins ago
EG
Senior Data Engineer
Eliassen Group
Tallahassee, FL
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…

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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