Jobs in the United States

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Added 7 mins ago
SI
Software Engineering Architect - Digital Marketing Technology
Salesforce, Inc.
WA · CA · IL · NY · IN
- $218,400 to $401,400 USD / year
Added 8 mins ago
Engineer I-Systems Engineering
Verizon Data Services LLC
Temple Terrace, FL
Programming & Backend : Proficiency in Python and Node.js for backend development and API integration.
Added 22 mins ago
SA
Senior Manager Technology - Digital Platforms
Southwest Airlines
Dallas, TX
- $168,650 to $187,400 USD / year
…technical delivery, platform reliability, cloud modernization, developer enablement, and operational excellence across the digital ecosystem. Partnering closely with Product, Architecture,…
Added 35 mins ago
RE
Dotnet Architect
RAPID EAGLE INC
Sunnyvale, CA
- $75 to $85 USD / hour
Added 39 mins ago
Solution Architecture
Colgate-Palmolive Company
Piscataway, NJ
Technical Specifications & Topologies: Translate commercial strategies into robust API guidelines, data flow diagrams, microservices topologies, and system requirements.
Added 39 mins ago
Enterprise Applications AI
Colgate-Palmolive Company
Piscataway, NJ
Experience with enterprise integration patterns (SAP/ERP data, event-driven architectures, secure API design) in large, regulated organizations.
Added 44 mins ago
R
IT Manager
Rain
New York, NY
- $160,000 to $180,000 USD / year
- Scripting and automation proficiency in Python and JavaScript for API interaction and system management.
Added 1 hour ago
Software Engineer - Finance Transformation & Integrations
Regions
Hoover, AL · Charlotte, NC · Atlanta, GA
Added 1 hour ago
Cyber Data Privacy - Consultant
Deloitte
Gilbert, AZ
Ability to comprehend and execute basic technology concepts such as Application Programming Interfaces (API's), system requests methods (GET/POST), etc.
Added 1 hour ago
Ruby Developer - Project Software Engineer III
Deloitte
Tempe, AZ
Collaborating closely with the Engineering Crew Lead and API Architect on solution delivery
Added 1 hour ago
DevOps Administrator (Remote)
Polaris Industries
Tempe, AZ
4+ years of experience with AWS and/or Microsoft Azure cloud platforms, with experience managing Azure services such as API Management, App Service, Function Apps, Service Bus, and Storage…
Added 1 hour ago
Entry Level QA/Test Engineer- Tucson, AZ
IBM
TUCSON, AZ
Experience with API automation, UI automation, and service virtualization tools.
Added 1 hour ago
AE
Senior Software Engineer - Enterprise Architecture
American Express
Phoenix, AZ
- $123,000 to $215,250 USD / year
Champion engineering excellence by improving CI/CD pipelines, test automation, and developer productivity
Added 1 hour ago
AE
Sr Software Engineer I - Enterprise Architecture
American Express
Phoenix, AZ
- $123,000 to $215,250 USD / year
Take your place as a core member of an agile team driving the latest development practices: writing code and unit tests, working with API specs and automation.
Added 1 hour ago
AE
Senior Software Engineer
American Express
Phoenix, AZ
- $123,000 to $215,250 USD / year
Identify opportunities to improve CI/CD, developer productivity, automation and engineering processes.
Added 1 hour ago
Solution Architecture Manager – AI & Enterprise Cloud - Hybrid
MSys Inc.
Phoenix, AZ
Deep understanding of distributed systems, microservices, API-first design, and major cloud platforms (Salesforce, Azure, GCP), including their native AI/ML stacks (e.g. Azure AI Studio).
Added 1 hour ago
Project Inspector
KBR Technical Services, Inc.
Houston, TX
Practical experience and knowledge of national and international manufacturing codes and specifications relevant to our industry, (ASME, ASTM, API).
Added 1 hour ago
Software Developer
F.H. Black & Company Incorporated
Remote, United States
We are looking for an experienced, motivated, and highly skilled Software Developer to join our team. In this role, you will be responsible for developing, maintaining, supporting, and…
Added 1 hour ago
Founding Sales
Reflex Robotics
NYC, NY
Added 2 hours ago
Senior Director, Engineering Group Leader
BNY
New York, NY · NY
Lead modernization initiatives focused on cloud adoption, API enablement, event-driven architecture, data platforms, AI-enabled workflows, and engineering automation.
Added 2 hours ago
Data Scientist, ADAS Analytics Machine Learning
Mercedes-Benz
San Jose, CA
Deploy models into PySpark and Delta Lake pipelines and the FastAPI analytics API, build evaluation frameworks for foundation-model outputs, and operate on the Azure data platform,…
Added 2 hours ago
QI
Automation Developer Engineer
Qualcomm Incorporate
Boulder, CO
- $93,400 to $140,000 USD / year
…chipsets. We're looking for a Full-Stack Automation Software Developer to help design, build automation frameworks to help verify/validate complex wireless systems. Key Responsibilities…
Added 2 hours ago
RU
Lead IBM Maximo Technical Consultant
Randstad USA
Washington, DC
- $50 to $60 USD / hour
Added 2 hours ago
Instrumentation and Controls (I&C) Designer
Eichleay Main Career Page
Ferndale, WA
Familiarity with industry standards including ISA, ANSI, ASME, API, and NFPA/NEC standards is desirable.
Added 2 hours ago
Software Engineer II
Avalon Administrative Services LLC
Tampa, FL
…tools can augment the software development lifecycle, improve developer productivity, and enhance software quality through areas such as code generation, testing, debugging, documentation,…

Closed listing

Deloitte

Lead Forward Deployed Engineer, Frontier GenAI

Tempe, AZ, 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 Frontier GenAI 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 one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
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
Google Workspace
Identity and access management
Apache Spark
Apache Airflow
dbt
Data modelling
ML
Microservices

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