forward deployed engineer

ELEMENTS

<div>About Elements Elements is building a foundational platform to automate and connect high-stakes finance workflows. We are in advanced beta, live with early customers, and preparing for a full production launch. The product is already operating in demanding, real-world environments. This is a rare moment to join early with real traction and low execution risk. We are well funded, actively used by multiple customers, and seeing strong inbound demand as we prepare to scale.
The Opportunity We are hiring a Senior Forward-Deployed Engineer as a foundational team member. This fully remote role sits at the technical-forward intersection of engineering and customer delivery: you will spend your time building production-grade integrations and custom workflows that embed Elements into our customers' core systems. You will work directly with the founders and enterprise clients to ensure our platform delivers immediate, high-stakes value in the field.
What You&rsquo;ll Do<ul><li>
Partner directly with enterprise finance teams to translate complex operational challenges into working technical solutions.</li><li>
Design and ship production-quality connectors between Elements and customer systems using Java (Spring Boot) and React.</li><li>
Act as the &quot;voice of the customer&quot; for the engineering team, turning field insights into core product features.</li><li>
Build scalable, observable workflows that prioritize security, performance, and long-term stability.</li><li>
Collaborate closely with founders and core engineers in a high-autonomy environment.</li><li>
Establish delivery best practices and integration playbooks as the team grows.</li></ul>
Who We&rsquo;re Looking For<ul><li>
Strong engineering foundation with a track record of building and scaling production systems.</li><li>
Strong functional background in finance or accounting - ideally a CPA or a Bachelor&rsquo;s in Finance - to bridge the gap between technical code and complex financial workflows.</li><li>
Ability to navigate complex enterprise environments and turn ambiguous requirements into technical architecture.</li><li>
Deep understanding of application architecture, system design, and API patterns.</li><li>
Ownership mindset with experience in zero-to-one or customer-facing engineering environments.</li><li>
Technical judgment to balance shipping high-impact solutions with maintaining engineering standards.</li><li>
Experience with Java, Spring Boot, React, or similar technologies.</li></ul>
Why Join Elements<ul><li>
Real ownership in a category-defining product.</li><li>
Meaningful equity as a founding team member.</li><li>
Direct impact on how critical finance systems operate.</li><li>
A small, experienced team focused on building the right way.</li></ul></div>

Senior Forward Deployed Engineer

Deloitte

<div>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 will end on May 31, 2026 
 
Work you'll do 
 
As a Palantir 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 
<ul><li>Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.</li>
<li>Partner with leaders, product owners, architects, and engineers to align priorities and delivery.</li>
<li>Lead working sessions to shape solutions and drive client outcomes.</li>
<li>Prototype and deliver working AI solutions using industry expertise and emerging capabilities.</li>
<li>Contribute independently within an FDE pod while mentoring newer team members.</li>
</ul> 
Solution Engineering 
<ul><li>Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.</li>
<li>Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.</li>
<li>Apply architecture decisions that balance quality, safety, latency, cost, and model risk.</li>
<li>Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.</li>
<li>Design extensible functionality, support sprint sizing, and align solutions with senior team members.</li>
<li>Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.</li> 
</ul> 
 
The team 
 
AI &amp; 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 &amp; data platforms. Our delivery models are tailored to meet each client's unique requirements. 
 
Required qualifications
 
<ul><li>Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.</li>
<li>3+ years of experience in software engineering, data engineering, data science, or analytics engineering.
</li><li>1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments</li>
<li>1+ years of experience with Palantir including hands-on experience with one of the following key platforms/products; Foundry, AIP, Maven</li>
<li>1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions</li>
<li>1+ years of experience building reliable, maintainable, and well-documented code
</li><li>Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve</li>
<li>Limited immigration sponsorship may be available</li>
</ul> 
Preferred qualifications 
<ul><li>Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)</li>
<li>Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
</li><li>Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation</li>
<li>Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
</li><li>Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
</li><li>Experience operating within hybrid onshore/offshore teams
</li><li>Familiarity with security, privacy, and compliance considerations</li>
</ul> 
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 $113,100 to $208,300. 
 
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.</div>

Forward Deployed Engineer - Palantir

<div>Our Deloitte AI &amp; Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll 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 Anthropic 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
 
<ul><li>Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
</li><li>Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
</li><li>Lead working sessions to shape solutions and drive client outcomes.
</li><li>Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
</li><li>Contribute independently within an FDE pod while mentoring newer team members.
</li></ul> 
Solution Engineering
 
<ul><li>Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
</li><li>Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
</li><li>Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
</li><li>Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
</li><li>Design extensible functionality, support sprint sizing, and align solutions with senior team members.
</li><li>Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.
</li></ul> 
The Team
 
 
Deloitte's Government &amp; Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, &amp; local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. 
 
Our AI &amp; Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets. 
 
Qualifications
 
 
Required:
 
<ul><li>Bachelor's degree (or equivalent) in Computer Science, Data Science, Engineering, or related field.
</li><li>4+ years of experience in software engineering, data engineering, data science, or analytics engineering.
</li><li>1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
</li><li>1+ years of experience with Anthropic including hands on experience with one of the following key platform technologies; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code
</li><li>1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
</li><li>1+ years of experience building reliable, maintainable, and well-documented code
</li><li>Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
</li><li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
</li><li>Ability to obtain and maintain a US government security clearance
</li></ul> 
Preferred:
 
<ul><li>Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
</li><li>Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
</li><li>Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
</li><li>Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
</li><li>Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
</li><li>Experience operating within hybrid onshore/offshore teams
</li><li>Familiarity with security, privacy, and compliance considerations
</li></ul> 
How you'll grow
 
 
At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Center. 
 
Benefits
 
 
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. 
 
Deloitte's culture
 
 
Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. 
 
Corporate citizenship
 
 
Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte's impact on the world. 
 
Recruiter tips
 
 
We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you're applying to. Check out recruiting tips from Deloitte professionals.</div>

Anthropic Forward Deployed Engineer - GPS

<div>Our Deloitte AI &amp; Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll 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 a Palantir 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
 
<ul><li>Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
</li><li>Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
</li><li>Lead working sessions to shape solutions and drive client outcomes.
</li><li>Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
</li>Contribute independently within an FDE pod while mentoring newer team members. 
<li>
</li></ul> 
 
Solution Engineering
 
<ul><li>Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
</li><li>Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
</li><li>Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
</li><li>Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
</li><li>Design extensible functionality, support sprint sizing, and align solutions with senior team members.
</li><li>Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.
</li></ul> 
The Team
 
 
Deloitte's Government &amp; Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, &amp; local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. 
 
Our AI &amp; Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets. 
 
Qualifications
 
 
Required:
 
<ul><li>Bachelor's degree (or equivalent) in Computer Science, Data Science, Engineering, or related field.
</li><li>4+ years of experience in software engineering, data engineering, data science, or analytics engineering.
</li><li>1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
</li><li>1+ years of experience with Palantir including hands on experience with one of the following key platform technologies; Foundry, AIP, Maven
</li><li>1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
</li><li>1+ years of experience building reliable, maintainable, and well-documented code
</li><li>Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
</li><li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
</li><li>Ability to obtain and maintain a US government security clearance
</li></ul> 
Preferred:
 
<ul><li>Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
</li><li>Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
</li><li>Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
</li><li>Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
</li><li>Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
</li><li>Experience operating within hybrid onshore/offshore teams
</li><li>Familiarity with security, privacy, and compliance considerations
</li></ul> 
How you'll grow
 
 
At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Center. 
 
Benefits
 
 
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. 
 
Deloitte's culture
 
 
Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. 
 
Corporate citizenship
 
 
Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte's impact on the world. 
 
Recruiter tips
 
 
We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you're applying to. Check out recruiting tips from Deloitte professionals.</div>

Palantir Forward Deployed Engineer - GPS

<div>Our Deloitte AI &amp; Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll 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 OpenAI 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
 
<ul><li>Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
</li><li>Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
</li><li>Lead working sessions to shape solutions and drive client outcomes.
</li><li>Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
</li><li>Contribute independently within an FDE pod while mentoring newer team members.
</li></ul> 
Solution Engineering
 
<ul><li>Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
</li><li>Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
</li><li>Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
</li><li>Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
</li><li>Design extensible functionality, support sprint sizing, and align solutions with senior team members.
</li><li>Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.
</li></ul> 
The Team
 
 
Deloitte's Government &amp; Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, &amp; local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. 
 
Our AI &amp; Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets. 
 
Qualifications
 
 
Required:
 
<ul><li>Bachelor's degree (or equivalent) in Computer Science, Data Science, Engineering, or related field.
</li><li>4+ years of experience in software engineering, data engineering, data science, or analytics engineering.
</li><li>1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
</li><li>1+ years of experience with OpenAI including hands on experience with one of the following key platform technologies; GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
</li><li>1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
</li><li>1+ years of experience building reliable, maintainable, and well-documented code
</li><li>Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
</li><li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
</li><li>Ability to obtain and maintain a US government security clearance
</li></ul> 
Preferred:
 
<ul><li>Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
</li><li>Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
</li><li>Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
</li><li>Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
</li><li>Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
</li><li>Experience operating within hybrid onshore/offshore teams
</li><li>Familiarity with security, privacy, and compliance considerations
</li></ul> 
How you'll grow
 
 
At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Center. 
 
Benefits
 
 
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. 
 
Deloitte's culture
 
 
Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. 
 
Corporate citizenship
 
 
Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte's impact on the world. 
 
Recruiter tips
 
 
We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you're applying to. Check out recruiting tips from Deloitte professionals.</div>

OpenAI Forward Deployed Engineer - GPS

Logic, Inc.

<div><div>Business Architecture Analyst | Early Career | Full time
</div><div>Job No. R00324948 | Multiple Locations</div></div>
 <div><div>Kick start your engineering career at Accenture as a Forward Deployed Engineer (FDE). This early‑career role is designed for recent graduates with strong software engineering foundations, high learning agility, and demonstrated AI savviness. FDEs are hired with a clear hire‑to‑train model and developed into client‑facing, full‑stack, cloud‑native engineers embedded directly with client teams.
The Role
As a Forward Deployed Engineer, you will work across the full software development lifecycle, building and evolving custom applications, platforms, and APIs. You will leverage cloud, DevOps, and AI tools to accelerate delivery while learning how to translate business needs into scalable, production‑ready solutions.
Key Responsibilities<ul><li>
Collaborate with engineers, architects, and product teams to deliver client solutions</li><li>
Design, build, test, and deploy custom applications and services</li><li>
Develop API‑driven and platform‑based solutions</li><li>
Work in Agile delivery models (Scrum, Lean, XP)</li><li>
Leverage AI tools to accelerate coding, testing, debugging, and learning</li><li>
Contribute to proofs of concept, technical documentation, and solution development</li><li>
Engage in client‑facing environments and clearly communicate technical concepts</li></ul>
Ways of Working
This role requires working on site approximately three days per week with clients, partners, or in Accenture offices and delivery centers. In‑person collaboration is essential for learning, mentoring, and building strong client relationships, with flexibility supported where possible.
#LI-DNI
#IND-DNI</div></div>
 <div>Basic Qualifications
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Software Engineering, or related field</li><li>
Foundational programming experience (Java/JVM, .NET, Python, or Node.js)</li><li>
Basic understanding of web technologies (JavaScript, HTML, CSS)</li><li>
Academic projects or internships in software development</li></ul>

Understanding of Agile fundamentals

Preferred Skills &amp; Exposure
<ul><li>
API and service‑oriented architectures</li><li>
Databases (SQL or NoSQL)</li><li>
Cloud platforms (AWS, Azure, GCP)</li><li>
DevOps concepts and automation</li><li>
Frontend frameworks such as React or Angular</li></ul>

We are looking for candidates who actively and frequently use AI in their day to‑day work or studies. Successful candidates can demonstrate practical, everyday examples of how they leverage AI.

Candidates should demonstrate sound judgment when using AI, validate outputs, understand limitations, and show curiosity about how AI is reshaping modern software engineering.

Mindsets &amp; Soft Skills
<ul><li>
Curiosity and learning agility</li><li>
Storytelling and clear communication</li><li>
Entrepreneurial mindset and ownership</li><li>
Adaptability and resilience</li><li>
Collaboration in diverse, global teams</li></ul>

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. 
We anticipate this job posting will be posted until 08/31/2026 
 
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture 
Role Location Hourly Salary Range 
California $23.13 to $64.23 
Cleveland $21.39 to $51.39 
Colorado $23.13 to $55.53 
District of Columbia $24.62 to $59.09 
Illinois $21.39 to $55.53 
Maryland $23.13 to $55.53 
Massachusetts $23.13 to $59.09 
Minnesota $23.13 to $55.53 
New York $21.39 to $64.23 
New Jersey $24.62 to $64.23 
Washington $24.62 to $59.09</div>
 <div>Atlanta, GA
Arlington, VA
Austin, TX
Chicago, IL
Columbus, OH
Houston, TX
Nashville, TN
New York City, NY
San Francisco, CA
St. Petersburg, FL</div>
 <div>Requesting an Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter. 


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Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

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Forward Deployed Engineer (FDE) Analyst - NAELFY26

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

Cross-Functional Pod Leadership &amp; Program Governance 
<ul><li>
Lead FDE pods of 2-5 onshore anchored and offshore supported engineers, owning execution, resource management, escalations and overall delivery health</li><li>
Enforce delivery standards across the pod: sprint cadences, stakeholder communication plans, risk management, and quality gates</li><li>
Coordinate multi-pod or multi-workstream engagements, ensuring reliable architecture and consistent client experience.</li><li>
Mentor and develop junior FDEs</li></ul> 

GenAI Solution Development 
<ul><li>
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)
</li><li>Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls</li><li>
Govern end-to-end RAG pipeline design-including ingestion, chunking, embedding, vector retrieval, and hybrid search-ensuring production-grade quality and scalability.</li><li>
Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and governance; ensure the pod meets agreed engineering quality bars to these standards.</li></ul> 

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

The team 
 
AI &amp; 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 &amp; data platforms. Our delivery models are tailored to meet each client's unique requirements. 
 
Required qualifications
 
<ul><li>Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.</li><li>
7+ years of experience in software engineering, data engineering, data science, or analytics engineering.
</li></ul><ul><li>1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments</li><li>
1+ years of experience with Microsoft AI&amp;Data including hands on experience with Azure AI Foundry</li><li>
1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions</li><li>
1+ years of experience building reliable, maintainable, and well-documented code
</li></ul><ul><li>Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve</li><li>
Limited immigration sponsorship may be available</li></ul> 

Preferred qualifications 
<ul><li>
Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)</li><li>
Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
</li></ul><ul><li>Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation</li><li>
Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
</li><li>Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
</li><li>Experience operating within hybrid onshore/offshore teams
</li><li>Familiarity with security, privacy, and compliance considerations</li></ul> 
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 $167000 to $307500. 
 
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.</div>

Lead Forward Deployed Engineer, Microsoft AI & Data

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