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>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 Google 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 Google including hands on experience with one of the following key platform technologies; Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration
</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></div>

Google 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 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></div>

Anthropic Forward Deployed Engineer - GPS

Gecko Robotics

<div><h1 class="jobSectionHeader">What We Do
</h1>Gecko Robotics is helping the world&rsquo;s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure.<h1 class="jobSectionHeader">
Role at a Glance</h1>
Our Forward Deployed Engineers are not support engineers, they&rsquo;re builders. This is not your typical software engineering role. We are on the ground, shoulder to shoulder with our clients - whether it's working on predictive maintenance on US Navy ships, aiding the Air Force or sitting in on a boiler inspection - we are the first line of defense in solving these hard hitting problems. We are not afraid to pick up new technologies and will use whatever tool we have in our toolbox to create change. When our priorities shift, we shift with them. We don&rsquo;t just speak to our clients about their problems, we travel (often) to their sites to see first hand what they are experiencing. We are impact makers - game changers. We are leveraging data and insight from team members across Gecko to build the best possible solution for our clients. Are you ready to join us?<h1 class="jobSectionHeader">
Technologies We Use</h1><ul><li>
Python, JavaScript, React</li><li>
Google Cloud, Amazon Web Services</li></ul><h1 class="jobSectionHeader">
What you will do</h1><ul><li>
Solve Real Problems: We search for the highest impact problems we can find, we spend a lot of time with our customers to understand their true nature, we come up with new ways, and we don&rsquo;t quit until we&rsquo;ve reached impact.</li><li>
Growth: The problems we work on are hard. No one has yet solved them. We are constantly learning and trying - and that includes learning about ourselves. We are a group who loves to grow - even if it requires hard work to do so.</li></ul><h1 class="jobSectionHeader">
About You</h1><ul><li>
Bachelor&rsquo;s degree in fields such as Computer Science, Computer Engineering Mathematics, Software Engineering, Physics, Mechanical Engineering, Electrical Engineering, or relevant experience.
</li><li>Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.</li><li>
Understanding of how technical decisions impact the user of what you&rsquo;re building.</li><li>
Proficiency with programming languages such as Java, C++, Python, JavaScript, or similar languages.</li><li>
Ability to work effectively in teams of technical and non-technical individuals.</li><li>
Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users.</li><li>
Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision.</li><li>
Willingness and interest to travel as needed up to 50%.</li></ul><h2 class="jobSectionHeader">
Who We Are</h2>
At Gecko, our people are our greatest investment. We offer competitive compensation packages. Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We&rsquo;re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact.
Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today&rsquo;s infrastructure and give form to tomorrow&rsquo;s. All qualified applicants will be treated with respect and receive equal consideration for employment in accordance with applicable law. If you are passionate about what you do and want to use your talents to support our critical mission, we&rsquo;d love to hear from you.</div>

Forward Deployed Engineer | Middle East

<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></div>

OpenAI Forward Deployed Engineer - GPS

Cohere

<div>
 
 Who are we?
 
 
 
 Our mission is to scale intelligence to serve humanity. We&rsquo;re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
 
 
 We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what&rsquo;s best for our customers.
 
 
 Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
 
 
 Join us on our mission and shape the future!
 
 
 We are seeking a highly skilled and experienced Enterprise Deployment Specialist to lead the implementation and deployment of our secure AI platform, North, within enterprise organizations' environments. This role is crucial in ensuring a seamless and impactful integration of North, enabling our clients to leverage its capabilities effectively.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout.
 </li>
 <li>
 Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices.
 </li>
 <li>
 Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards.
 </li>
 <li>
 Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime.
 </li>
 <li>
 Develop training materials and conduct sessions to empower users to adopt North&rsquo;s capabilities effectively.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of experience deploying enterprise software in private/hybrid cloud environments.
 </li>
 <li>
 You are fluent in both English and Arabic.
 </li>
 <li>
 Strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization.
 </li>
 <li>
 Proven experience administering production Kubernetes clusters and expertise with Helm.
 </li>
 <li>
 Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control.
 </li>
 <li>
 Excellent problem-solving skills, attention to detail, and ability to collaborate with cross-functional teams.
 
 
 </li>
 </ul>
 We are open to candidates currently based in the Middle East or who are open to travelling or relocating.
 
 
 The ideal candidate will have a track record of successful enterprise-level deployments, demonstrating the ability to manage complex projects and deliver impactful results. They should be adaptable, detail-oriented, and passionate about leveraging AI to drive organizational success.
 
 
 Note: This role requires a deep understanding of both AI technologies and enterprise IT infrastructure, ensuring a seamless integration of North into diverse organizational environments.
 
 
 If some of the above doesn&rsquo;t line up perfectly with your experience, we still encourage you to apply!
 
 
 We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
 
 
 
 Full-Time Employees At Cohere Enjoy These Perks
 
 
 
 🤝 An open and inclusive culture and work environment
 
 
 🧑&zwj;💻 Work closely with a team on the cutting edge of AI research
 
 
 🍽 Weekly lunch stipend, in-office lunches &amp; snacks
 
 
 🦷 Full health and dental benefits, including a separate budget to take care of your mental health
 
 
 🐣 100% Parental Leave top-up for up to 6 months
 
 
 🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
 
 
 🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
 
 
 ✈️ 6 weeks of vacation (30 working days!)
</div>

Forward Deployed Engineer, Infrastructure Specialist

<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 Senior OpenAI 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><li>Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.
</li><li>Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.
</li>Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital. 
<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>Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations. 
<li>
</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 or Engineering.
</li><li>7+ 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>Ability to obtain and maintain a US government security clearance 
<li>
</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></div>

Senior OpenAI Forward Deployed Engineer - GPS

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