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Forward Deployed Engineering Jobs

4,223 active opportunities · Updated for October 2026

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Explore current forward deployed engineering jobs. Use filters to narrow by work mode, employment type, experience and date posted.

SA
2mo ago

At Scale, we build the AI systems behind some of the country's most important decisions. On the Public Sector Engineering team, you'll embed directly with U.S. government customers, including the Army, Air Force, Joint commands and Intelligence Community, to build and deploy AI applications that support their most critical missions. This is a hybrid customer-facing engineering role. You'll sit with the people whose problems you're solving, own delivery from first prototype to production, and ship software that customers adopt and rely on in the field. Model performance matters, timelines are urgent, and ambiguity is the norm. Your work directly shapes what Scale's platform can do for the public sector. What you'll do Embed with government customers to understand their mission, scope the problem, and turn it into working software. Own delivery end-to-end: design, build, deploy, and maintain solutions at customer sites, from prototype to stable production. Build robust backend systems and data integrations that connect customer environments to Scale's platform and back. Partner with product and engineering to feed field signals back into the roadmap, so the patterns you build once become capabilities the whole team can reuse. Serve as the technical point of contact for customer stakeholders, guiding adoption and maximizing mission impact. What we're looking for Required 5+ years of software engineering experience, ideally in customer-facing, forward-deployed, or government contexts. Strong production coding in Python and TypeScript (or comparable modern languages). Comfort across the stack, including cloud platforms (AWS, Azure, or GCP), containers, Linux, and networking fundamentals. Ability to operate independently in ambiguous, fast-moving environments and make sound trade-offs under pressure. An active TS/SCI clearance. Bonus Experience building or deploying systems powered by LLMs or generative models. Familiarity with Node and React, Kubernetes and Docker, and T

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S
2mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, we are building a high-impact team to help the world’s most innovative companies unlock the power of AI. As a Forward Deployed Engineer, Applied AI in our Cortex AI team, you will be a hands-on builder and a critical technical partner to our most strategic customers, placing you at the forefront of the enterprise AI revolution. You won't just be working with cutting-edge technology; you will be deploying it to solve real-world business problems at a massive scale. This role places you at the intersection of product, engineering, and customer success, building production-grade AI systems using Snowflake AI Platform, Cortex, and our native LLM capabilities. IN THIS ROLE AT SNOWFLAKE, YOU WILL: Drive Customer Impact: Architect, build, and deploy enterprise-grade AI solutions, including sophisticated AI agents. Build and iterate on AI pipelines and agents within a team-led engagement from prototype to production, contribute to evaluation frameworks and observability infrastructure most complex business challenges. Deliver with Velocity: Rapidly design, iterate, and ship high-quality code and ML pipelines. Translate ambiguous business objectives into robust, scalable, and performant solutions using Python and SQL. Productionize AI at Scale: Own the full lifecycle o

pythonjavasql
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SA
Scale AI
📍 Colorado Springs• $190K – $290K/yr
21mo ago

Scale AI is seeking a highly skilled and motivated AI Data Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. You will: Be open to >50% onsite work in a secured space. Collaborate with cross-functional teams to define and execute the vision for data pipelines and agents. Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back. Deploy and maintain Scale software at customer sites. Develop customer requested features and work closely with them to ensure that they win customer love. Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions. Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. This role will require at minimum an active Secret clearance and willingness to obtain a TS/SCI security clearance. Ideally you have: Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles. Prior experience developing with Python Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Unders

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Palantir
📍 United States• Internship• From $6.3K/mo
122mo ago

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role The Privacy and Civil Liberties (PCL) Engineering team is a interdisciplinary team of software engineers, forward-deployed engineers, designers, lawyers, and policy experts. The first of its kind in the tech industry, Palantir’s PCL team was formed 15+ years ago as a rejection of the prevailing view that privacy protections must be sacrificed to national security interest. Today, the mission of the PCL team goes far beyond civil liberties protections, and our work challenges other false tradeoffs between operational effectiveness and the defining values of our society: Effective military operations should not be at odds with protecting civilians and upholding the Law of Armed Conflict. Deploying AI with scale and speed should never compromise safety, reliability, and governance. The PCL team builds software and forward deploys to ensure that our customers can pursue their hardest operational challenges while keeping ethical imperatives in plain sight. You can read more about the team on the Palantir blog here. As a PCL Engineer, you will be responsible for designing and developing full-stack software products for privacy, data protection, AI governance, and accountability in Palantir’s software platforms. You may build security and governance primitives in our platform, applications for auditors, user-facing workflows for AI governance, internal tools for data protection, or something new all-together to help our customers address their next set of challenges. In every case, the software that you build will directly help our customers both carry out their missions more effectively and better meet their legal and ethical obligations. As part of this role, y

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About Sayari: Sayari is the judgment infrastructure for trustworthy AI in economic security and commercial risk. The Sayari Commercial World Model resolves 11.7B+ primary-source records from 250+ jurisdictions forming the ground truth of global commerce. A Judgment Ontology, encoding over a decade of investigative tradecraft, and Superconductor, an agentic orchestration platform, deliver AI that reasons like an expert analyst, shows its work, and traces every finding to its source. Trusted by U.S. Customs and Border Protection, HM Revenue & Customs, and Fortune 500 enterprises, Sayari is used by thousands of professionals across 35+ countries to secure supply chains and dismantle illicit networks. Headquartered in Washington, D.C., with offices in London, Singapore, Tokyo, and Tel Aviv. About the Role Sayari’s customers buy answers to hard problems: who really owns a supplier, where a sanctioned network is moving goods, which alerts deserve an analyst’s time. Sayari’s AI platform Superconductor delivers those answers at machine scale. It is built in the field, with analysts and engineers working alongside customers to define what it needs to do. The Field Intelligence Analyst brings Sayari’s tradecraft to that work. You scope the problem, design the solution, prove its value, and deliver mission impact. You own the analytical relationship for a portfolio of accounts, from first conversation through sustained delivery. What you learn on live engagements flows back into Superconductor and into Sayari’s tradecraft standard. You work in our Field Intelligence Department, a global team of analysts deployed to support government agencies and Fortune 500 companies. You sit in the same org as Forward Deployed Engineers and the Product team. The field shapes the roadmap, and Product sets it. Why This Role Exists Customers buy answers. Superconductor reasons like an expert analyst at machine scale. The analyst’s job shifts from producing every answer by hand

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Sayari
📍 United Arab Emirates• Remote
5 days ago

About Sayari: Sayari is the judgment infrastructure for trustworthy AI in economic security and commercial risk. The Sayari Commercial World Model resolves 11.7B+ primary-source records from 250+ jurisdictions forming the ground truth of global commerce. A Judgment Ontology, encoding over a decade of investigative tradecraft, and Superconductor, an agentic orchestration platform, deliver AI that reasons like an expert analyst, shows its work, and traces every finding to its source. Trusted by U.S. Customs and Border Protection, HM Revenue & Customs, and Fortune 500 enterprises, Sayari is used by thousands of professionals across 35+ countries to secure supply chains and dismantle illicit networks. Headquartered in Washington, D.C., with offices in London, Singapore, Tokyo, and Tel Aviv. About the Role Sayari’s customers buy answers to hard problems: who really owns a supplier, where a sanctioned network is moving goods, which alerts deserve an analyst’s time. Sayari’s AI platform Superconductor delivers those answers at machine scale. It is built in the field, with analysts and engineers working alongside customers to define what it needs to do. The Field Intelligence Analyst brings Sayari’s tradecraft to that work. You scope the problem, design the solution, prove its value, and deliver mission impact. You own the analytical relationship for a portfolio of accounts, from first conversation through sustained delivery. What you learn on live engagements flows back into Superconductor and into Sayari’s tradecraft standard. You work in our Field Intelligence Department, a global team of analysts deployed to support government agencies and Fortune 500 companies. You sit in the same org as Forward Deployed Engineers and the Product team. The field shapes the roadmap, and Product sets it. Why This Role Exists Customers buy answers. Superconductor reasons like an expert analyst at machine scale. The analyst’s job shifts from producing every answer by hand

REMOTEpythonsqlai
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About Sayari: Sayari is the judgment infrastructure for trustworthy AI in economic security and commercial risk. The Sayari Commercial World Model resolves 11.7B+ primary-source records from 250+ jurisdictions forming the ground truth of global commerce. A Judgment Ontology, encoding over a decade of investigative tradecraft, and Superconductor, an agentic orchestration platform, deliver AI that reasons like an expert analyst, shows its work, and traces every finding to its source. Trusted by U.S. Customs and Border Protection, HM Revenue & Customs, and Fortune 500 enterprises, Sayari is used by thousands of professionals across 35+ countries to secure supply chains and dismantle illicit networks. Headquartered in Washington, D.C., with offices in London, Singapore, Tokyo, and Tel Aviv. About the Role Sayari’s customers buy answers to hard problems: who really owns a supplier, where a sanctioned network is moving goods, which alerts deserve an analyst’s time. Sayari’s AI platform Superconductor delivers those answers at machine scale. It is built in the field, with analysts and engineers working alongside customers to define what it needs to do. The Field Intelligence Analyst brings Sayari’s tradecraft to that work. You scope the problem, design the solution, prove its value, and deliver mission impact. You own the analytical relationship for a portfolio of accounts, from first conversation through sustained delivery. What you learn on live engagements flows back into Superconductor and into Sayari’s tradecraft standard. You work in our Field Intelligence Department, a global team of analysts deployed to support government agencies and Fortune 500 companies. You sit in the same org as Forward Deployed Engineers and the Product team. The field shapes the roadmap, and Product sets it. Why This Role Exists Customers buy answers. Superconductor reasons like an expert analyst at machine scale. The analyst’s job shifts from producing every answer by hand

pythonsqlai
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S
6 days ago

About Sayari: Sayari is the judgment infrastructure for trustworthy AI in economic security and commercial risk. The Sayari Commercial World Model resolves 11.7B+ primary-source records from 250+ jurisdictions forming the ground truth of global commerce. A Judgment Ontology, encoding over a decade of investigative tradecraft, and Superconductor, an agentic orchestration platform, deliver AI that reasons like an expert analyst, shows its work, and traces every finding to its source. Trusted by U.S. Customs and Border Protection, HM Revenue & Customs, and Fortune 500 enterprises, Sayari is used by thousands of professionals across 35+ countries to secure supply chains and dismantle illicit networks. Headquartered in Washington, D.C., with offices in London, Singapore, Tokyo, and Tel Aviv. About the Role Sayari’s customers buy answers to hard problems: who really owns a supplier, where a sanctioned network is moving goods, which alerts deserve an analyst’s time. Sayari’s AI platform Superconductor delivers those answers at machine scale. It is built in the field, with analysts and engineers working alongside customers to define what it needs to do. The Field Intelligence Analyst brings Sayari’s tradecraft to that work. You scope the problem, design the solution, prove its value, and deliver mission impact. You own the analytical relationship for a portfolio of accounts, from first conversation through sustained delivery. What you learn on live engagements flows back into Superconductor and into Sayari’s tradecraft standard. You work in our Field Intelligence Department, a global team of analysts deployed to support government agencies and Fortune 500 companies. You sit in the same org as Forward Deployed Engineers and the Product team. The field shapes the roadmap, and Product sets it. Why This Role Exists Customers buy answers. Superconductor reasons like an expert analyst at machine scale. The analyst’s job shifts from producing every answer by hand

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A
Anthropic
📍 Ca New York City• $405K – $485K/yr
2mo ago

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for experienced software engineers to join the Platform Ecosystem team within our Platform organization. Platform Ecosystem exists to empower the next big industries to build on Claude and to create the commercial rails that let businesses building on our platform flourish. This is a founding team, and you'll play a critical role in accelerating AI transformation across highly impactful, mission-driven sectors. You'll drive 0 → 1 efforts from ideation through delivery, partner closely with product, design, research, and forward-deployed engineers, and bring strong product and business sense to shape our strategy in entirely new domains. You should be comfortable moving across a breadth of different stacks and going deep when needed to break through walls and turn ambiguous opportunities into high-quality, shipped products. The Ecosystem team is organized around two pillars. Placement takes into account your interests and experience alongside organizational needs, so you can land where you'll have the greatest impact and growth potential. What you'll do Verticals: We build for the next API markets, such as Life Sciences & Healthcare. You'll work alongside product, design, research, and forward-deployed engineers to understand what these industries need from Claude, and build the capabilities, integrations, and workflows that let them adopt Claude safely and at scale. Expect to move quickly across unfamiliar domains, learn what matters to each market, and ship products that unlock entirely new categories of customers on the platform. Monetization: We build the commercial rails and controls that let the

ailogistics
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Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity This is not a traditional GRC hire. The Tech G overnance Office is looking for someone who combines the governance judgment of a seasoned compliance professional with the drive of a forward-deployed engineer — someone who closes gaps by shipping solutions, navigates ambiguity without hand-holding, and operates with the urgency of a startup and the rigour of a regulated financial institution. You will own complex cross-functional workstreams independently — coordinating across Engineering, Legal, Product, and Finance — while managing external auditors and regulators. Strong written and verbal communication in both English and Mandarin is a meaningful advantage in this role. AI tooling is not optional; it is how you work. Who You Are Self-directed driver — You run cross-functional workstreams without being managed. Ambiguity is a starting point, not a blocker. AI-native operator — You already use AI to do more, faster — and you raise the floor for the teams around you. Clear communicator — You earn trust across regulators, auditors, and C-suite through precision and consistency — in any room. Culture Fit Pace Standards Startup velocity — Decisions move fast. Priorities shift. You ship, iterate, and adapt — without waiting for perfect con

awsgcpai
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As a Manager in our ISV Practice, you will lead a team of Forward Deployed Engineers working directly with independent software vendors (ISVs) and their engineering organizations. The team builds MongoDB capabilities inside partner products and turns successful engagements into reusable patterns for future partner engagements. You will lead the people, priorities, and operating model that enable the team to deliver production-oriented solutions with partners. This role combines people leadership, technical judgment, partner engagement, and cross-functional execution. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. What you’ll do at MongoDB Lead, coach, develop, hire, onboard, and retain a team of Forward Deployed Engineers while creating a high-performing and inclusive engineering culture Set priorities and allocate capacity across multiple partner engagements, enabling the team to work effectively in parallel Establish a repeatable engagement model from qualification through build, validation, documentation, and handoff, ensuring partners provide the context, access, technical counterparts, and release path needed for delivery Guide the team in building production MongoDB integrations, application capabilities, migration approaches, deployment patterns, and operational guidance while maintaining a high bar for quality, readiness, security, performance, observability, resilience, and supportability Ensure engagements produce reusable architectures, implementation patterns, tooling, documentation, and lessons learned that accelerate future partner engagements and benefit the wider organization Coordinate with Solutions Architecture, Solution Validation, Technical Services, Sales, Product, Engineering, and partner stakeholders on scope, ownership, technical contribution, validation, handoff, escalation, and support boundaries Engage directly with strategic partners when senior technical or leadership involvement is needed

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P
2mo ago

A Career with Point72's Market Intelligence Team On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to work with alternative data to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our sector data analysts, data scientists, data managers, and engineers work together to build compliant research products that are incorporated into the research process of our investment professionals. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within. WHAT YOU'LL DO Act as a forward-deployed solution architect: partner with EMEA Pods and business groups to identify high-value AI use cases, understand research workflows, and shape practical solution designs. Use lightweight proof-of-concepts selectively to validate value before larger build decisions. Be the bridge between EMEA teams and the firm’s AI resources: turn messy team signal into concrete product and platform asks, surface existing firm capabilities before teams reinvent them, and help firm-wide teams understand regional priorities. Lead the enablement motion through teach-ins, prompt and tool literacy, and best-practice sharing, helping teams move beyond “AI is new and exciting” towards “AI is how we work.” Provide the light-touch technical support that unblocks a team—such as a quick integration or precise bug report—without owning or maintaining core production systems. Track adoption and impact with simple metrics, and feed what is working back to the teams building firm-wide capabilities. WHAT'S REQUIRED 3+ years of experience in a client-facing product, solution-engineering, or forward-deployed role. Early-stage or startup experience—working dire

pythonsqlai
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SA
1mo ago

Role Summary Scale builds AI applications for organizations where reliability, security, and measurable results matter. Our core platform, SGP, gives teams the capabilities to build, deploy, evaluate, and operate those applications in customer environments. We're looking for a product leader to own the strategy and roadmap for SGP's core platform and lead the PM team responsible for it. You will work with customers, platform engineering, and forward deployed teams to build capabilities customers need, productize work developed in the field when it has broader value, and improve how teams build, deploy, and operate AI applications. This is a hands-on leadership role. You will connect work across teams into a coherent product, make difficult scope and investment decisions, and stay close enough to the details to know whether what we ship works for the people using it. What you'll do Own the platform strategy and roadmap. Prioritize across developer experience, capabilities customers need, and productizing work built in the field where it has broader value. Sequence investments against customer value, commitments, and dependencies. Define how the product should work. Work with users and engineers to write clear requirements and vibe code prototypes, user journeys, and measure success through customer outcomes, capability adoption, delivery time, and production performance, and follow through on gaps after launch. Align teams across the business. Work with platform engineering, forward deployed PMs, and business leaders to agree on shared capabilities, rollout priorities, and necessary differences across environments. Make clear what is available, where it works, and what remains to be delivered. Build and lead a strong PM team. Establish clear ownership across related product areas, hire and coach PMs, and raise the quality of product thinking and written requirements. Stay directly involved in the most consequential decisions. What we're looking for A track record of

BA
Bolna AI
📍 Delhi• Full-time
1mo ago

About Bolna Bolna is Voice AI infrastructure built for India - and now for the world. We help businesses deploy intelligent voice agents that can call, converse, and convert in any language, at scale. From collections to customer support to sales, our agents handle millions of conversations so humans don’t have to. We’re a YC F25 company, backed by General Catalyst, with 1,050+ paying customers and growing fast. This Role As an Enterprise Lead , you will own the success of Bolna’s largest and most strategic enterprise deployments. You will lead a team of Forward Deployed Engineers (FDEs), ensuring enterprise customers move from business problem → deployment → measurable outcomes. You’ll work closely with CXOs and senior stakeholders on the customer side while partnering with Bolna’s Product, Engineering, and Business teams internally. This is a high-ownership role. You will be expected to bring structure to complex enterprise problems, drive execution through your team, and ensure that deployments are not just launched - but successful. You’ll operate at the intersection of enterprise delivery, customer success, technology, and business . What You’ll Do Lead and manage a team of FDEs , setting clear priorities, driving execution, and maintaining a high bar for customer delivery. Own the end-to-end success of strategic enterprise deployments - from scoping and solution design to launch, adoption, and expansion. Work directly with enterprise stakeholders and CXOs to understand business objectives, define success metrics, and communicate progress. Translate complex business requirements into clear execution plans across FDE, Product, and Engineering teams. Review deployment strategies, solution architecture, agent performance, and customer outcomes to ensure quality and scalability. Identify risks and bottlenecks early and drive cross-functional teams toward resolution. Build repeatable enterprise deployment playbooks, processes, and best practices . Analyze customer a

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Palantir
📍 Washington• Full-time• Hybrid• $145K – $200K/yr
4mo ago

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are a software engineering team with expertise in enabling ML models in production. We deploy AI models to run in variety of environments: air-gapped government networks, forward-deployed defense environments, edge nodes, and enterprises with strict data sovereignty requirements. Our customers rely on us for frontier AI capabilities running on hardware they control, often with constrained GPU resources and limited direct access. Rising to that challenge and meeting those expectations is what Palantir's excels at. We treat models like any other software: continuously tested, continually delivered, packaged for reproducible deployment, and built for long-term maintainability. You will own services end-to-end, and work across the full stack, from inference engines, GPU scheduling to deployment pipelines, observability, and integration with Palantir's platform. The goal is to deliver new models and capabilities quickly and continuously. Join us if you want to solve problems at the intersection of infrastructure and machine learning that directly enable critical customers. Technologies We Use Different backend languages, including Java, Rust, Python and Go Model serving engines for GPU-accelerated inference Docker and Kubernetes for containerization and orchestration Industry-standard build tooling, including Gradle and GitHub Core Responsibilities Building high-performance model serving infrastructure that integrates with security models, hardware constraints, and different inference engines Designing intelligent request handling including authentication, rate limiting, concurrency con

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