Forward Deployed AI Engineer

Smartsheet

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. You independently lead the most complex AI deployments Smartsheet undertakes. You own the full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings at weekly Applied AI strategy sessions. You are building a function, not filling a role. What You Will Do * Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout. * Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning. * Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements. * Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically. * Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done. * Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification criteria. * Drive the intelligence loop: author strategic memos, present field findings weekly, contribute Agent Bricks and Skills, file RFCs for platform improvements. * Mentor junior FDEs on customer engagements, code reviews, and Deployment Kit quality.   Required * 6–10+ years production software engineering, including 3+ years deploying AI/ML to production. Deep Python; strong TypeScript/JavaScript. * Proven track record leading complex enterprise technical engagements. You’ve managed customer relationships, navigated security reviews, and delivered production systems organisations depend on. * Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimisation, evaluation frameworks, agent deployment at scale. * System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services explainable to a CIO and a junior engineer. * Demonstrated ability to create reusable technical assets that others use in production. You think in platforms, not projects. * Strong written and verbal communication. Architecture documents, runbooks, strategic memos, training materials. Your Deployment Kits are your portfolio. * You leave teams better than you found them. You make sure the people you work with understand what was built, why it works, and how to own it without you. * Ability to travel.  This role requires domestic and international travel approximately 25–50% of the time. * Elligible to work in the UK on an ongoing basis * BS or MS in Computer Science, a related field, or equivalent industry experience   Nice to Have:  * Experience founding or scaling an FDE/solutions engineering function.  * Technical founder background. Databricks, AWS Bedrock, or Temporal experience.  * Deep domain knowledge in healthcare, financial services, or government. Agent framework contributions (Strands SDK, LangChain, open-source MCP servers). * Proficiency in German/French language will be an added advantage * Familiarity of AI governance, ethics, and regulatory requirements (e.g. GDPR, UK/EU AI Act)    Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together. Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.  If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.   #LI-Remote

Databricks

REQ ID: FEQ127R254 Location: Hybrid – London As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.    This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.   The impact you will have: * Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration * Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer * Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. * Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. * Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. * Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. * Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. * Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.   What we look for: * Extensive experience in data engineering, data platforms & analytics, or software engineering * Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks * Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one * Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals * Familiarity with CI/CD for production deployments * Working knowledge of MLOps, ML/AI models and AI APIs * Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. * Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. * Documentation and white-boarding skills. * Experience working with enterprise clients and managing conflicts across a broad stakeholder range * Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. * Travel to customers 20% of the time * Databricks Certification preferred but not essential About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Ophelos

OUR MISSION At Ophelos, we believe in a different way to deal with debt. One that puts empathy and understanding front and centre, approaching our customers as individuals — no matter what they’re going through. For too long, people in debt have borne the brunt of poor industry practices. Intimidating tactics, time-consuming customer service and a one-size-fits-all approach that overlooks the reasons anyone can fall into debt in the first place. Meanwhile, businesses suffer too. Poor customer experience translates to poor customer satisfaction, high churn rates, bad brand reputation and ultimately missed opportunities. That’s why we’re taking a radically different approach. Pioneering an industry-first AI-native collections platform, we build products that help individuals clear their debts in a way that suits them, whilst providing businesses with an improved customer experience and game-changing insights into their customer base. Since our launch in 2021, we’ve worked with some of the UK’s leading companies, including Octopus, Scottish Power and Philips — helping millions of people move toward a more stable, debt-free future. In 2023, we were acquired by Intrum, Europe’s biggest credit management service and have begun the next phase in our growth — expansion into 17 European markets over the next two years. FORWARD DEPLOYED ENGINEER London-based with European travel (UK, France, Portugal and beyond) ABOUT THE ROLE Ophelos is at a pivotal moment. We've built a market-leading, AI-first debt resolution platform — and now we're deploying it at scale across Intrum's European business. As our Forward Deployed Engineer, you'll lead that effort. Intrum, our parent company and one of Europe's largest credit management businesses, manages debt on behalf of a wide range of merchant clients — retailers, telcos, financial institutions, and more — across multiple European markets. Your job is to onboard those clients onto the Ophelos platform: understanding their data, their business logic, their customer portfolios, and their contractual and regulatory context, and making sure Ophelos works correctly for each of them. Every client is different. They come with different data formats and quality standards, different definitions of what a debt case looks like, different regulatory obligations depending on their sector and market, and different expectations of how their customers should be treated. Your job is to absorb all of that, map it clearly, and translate it into a solution that works — at scale, across many clients, across multiple countries. This role sits at the intersection of solution architecture, technical consulting, and product partnership. You'll spend as much time in discovery conversations and design workshops as you will in configuration files and integration specs. You'll need to be equally credible with a compliance lead in Paris, a data engineer in Lisbon, and a product manager in London. WHAT YOU'LL DO Onboard merchant clients onto Ophelos Each client Intrum brings to Ophelos has its own data structures, business rules, and portfolio characteristics. You'll lead the technical onboarding — understanding their data, designing the ingestion and mapping layer, and ensuring Ophelos represents their cases accurately and operates correctly on their behalf. Navigate localisation and regulatory complexity Operating across European markets means dealing with materially different regulatory frameworks, debt collection norms, and consumer protection requirements — which vary by country, and sometimes by client sector. You'll develop deep fluency in what those differences mean technically, and design the configuration and solution patterns that allow Ophelos to serve each context correctly. Design solutions, not just integrations You'll translate complex, sometimes ambiguous client requirements into clean solution designs — mapping existing data structures, business logic, and operational processes to Ophelos's platform. This isn't just about getting data from A to B; it's about understanding the business intent behind every field and flow, and making sure nothing gets lost in translation. Own the data ingestion layer A significant part of this role involves designing and owning how each client's data arrives into Ophelos — in the right shape, with the right validation, from the right sources. You'll work across varying data formats, system conventions, and quality standards, and build patterns that make future onboarding progressively more efficient. Close the feedback loop You're Ophelos's eyes and ears in the field. When you encounter a recurring client need, a gap in our product, a bug that only surfaces in a specific market context, or a feature that would unlock onboarding for a whole segment of clients — you bring that back clearly and systematically. You'll log issues, articulate feature requests with context and business case, and act as a structured conduit between the real world and Ophelos's product and engineering teams. Build the onboarding playbook Document what you learn. Build reusable patterns, data mapping frameworks, and localisation guides that make each subsequent client onboarding faster and more predictable than the last. Use LLM tooling as a force multiplier Like all Ophelos engineers, you'll work in an AI-first way — using Claude Code, Codex, and OpenSpec to accelerate integration work, draft specs, and explore solutions faster than traditional approaches allow. THE OPHELOS PLATFORM You'll need to develop deep familiarity with our stack — not necessarily to build core features, but to understand its capabilities, constraints, and integration surface thoroughly: * Languages: TypeScript, Python, Ruby * Backend frameworks: FastAPI, Ruby on Rails * Data: PostgreSQL (via PlanetScale), Databricks * Workflow orchestration: Temporal * Financial ledger: TigerBeetle * Infrastructure: AWS, Kubernetes * Observability: Datadog * LLM tooling: Claude Code, OpenSpec, Codex ABOUT YOU You're a systems thinker with technical depth and strong commercial instincts. You've probably worked in fintech, financial services, or enterprise SaaS — in a role that required you to get inside a client's world, understand it thoroughly, and design solutions that actually fit. You might come from a solutions engineering, implementation consulting, or technical architecture background. What matters is that you're equally comfortable shaping a solution design and getting hands-on with the data or configuration to make it real. You're energised by variety — different clients, different markets, different problems — rather than unsettled by it. You'll likely have: * Experience in a solutions architect, forward-deployed engineer, technical consultant, or implementation lead role — ideally at a fintech, payments, or financial services company * Strong systems thinking: you naturally map business processes, data flows, and client-specific logic into coherent technical designs * Comfort with data — understanding schemas, transformation logic, validation rules, and ingestion pipelines at a practical level * Experience navigating regulatory or compliance requirements that vary across markets, sectors, or client types * The ability to communicate complex technical concepts clearly to non-technical stakeholders, and business context clearly to engineers * A structured approach to discovery: you ask good questions, document rigorously, and turn ambiguity into clarity * Willingness to travel regularly across Europe (primarily UK, France, and Portugal, with further markets to follow) Bonus points for: * Background in debt management, credit, collections, or payments — understanding the domain accelerates everything * Working knowledge of French * Experience onboarding multiple enterprise clients with divergent data models or business logic onto a shared platform * A track record of feeding structured product feedback from deployments back into a product organisation WHY THIS ROLE This is a rare opportunity to operate at the centre of a major European expansion — with real complexity, real stakes, and direct influence over how a genuinely impactful product gets adopted across a continent. You'll develop a breadth of domain knowledge, technical context, and stakeholder experience that's hard to find anywhere else. And you'll be helping Ophelos do what it exists to do: support households and businesses in breaking the cycle of problem debt. WORKING ARRANGEMENTS Based in London, with regular travel across Europe — primarily UK, France, and Portugal, with other markets to follow as the rollout expands. Ophelos operates on a hybrid model with three days per week in our office near Liverpool Street; during active client onboardings, on-site presence will be required. Ophelos is an equal opportunities employer. We are committed to building a diverse and inclusive team.   ABOUT OUR TEAM Ophelos launched in June of 2021, backed by investors such as AlbionVC, Connect Ventures and Fly Ventures. In 2023, we were acquired by Intrum, Europe’s biggest credit management service. Our growing team has team helped build some of the world’s most successful businesses, including the likes of Monzo, Google, Oracle, ASAPP, IBM and more — in addition to pioneering innovative products, sitting at the intersection of enterprise, financial technology, artificial intelligence and academia, working with institutions such as Oxford University, the University of Amsterdam and the University of Hong Kong. OUR VALUES Supporting customers and businesses to improve their financial health is a long-term mission. Our company values act as our north star, steering our every move as an organisation and are the backbone of our unique company culture. Our values and culture allow us to stay true to our larger purpose, even as we continue to grow at a rapid pace. Customers and Clients first – We exist to help real people move through debt and to get clients paid back. This commitment drives how we design products, deliver services, and interact with customers and clients daily. Dream big – We have ambition and drive to succeed - we’re not just raising the bar, we’re confidently asserting ourselves as the benchmark. Get it done – We’re decisive and embrace a sense of urgency; we don’t let opportunities get away from us. We’d rather act quickly and take informed risks, iterating and learning as we go.  Win as one - We work as one team, supporting each other and aiming for shared goals. At Ophelos, the team isn’t just individual departments - it’s all of us together.  We challenge and support each other because we care about everyone’s growth and success.  Ophelos is committed to creating a diverse work environment and is proud to be an equal opportunity workplace, providing equal employment and advancement opportunities to all team members. We are building an environment where every Ophelos team member can thrive, feel a sense of belonging, and do the best work of their careers. We value diversity and recruit, hire, and promote individuals solely based on talent, qualifications, competence, and merit. We evaluate candidates without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, disability, or other protected characteristics as required by law and as a matter of our company values. GDPR NOTICE  When you apply to a job on this site, the personal data contained in your application will be collected by Ophelos ("Controller"), located at 1 Finsbury Ave, London EC2M 2PF, and can be contacted by emailing support@ophelos.com. Controller's data protection contact is Kofi Barnes, who can be contacted at support@ophelos.com. This notice explains how we process your personal data throughout our recruitment process, including at the interview stage described below. Applying for a role with Ophelos is subject to the practices described in this notice — it is not a separate agreement you sign, but a description of how the recruitment process works. You won't be given a separate notice at each stage; Ophelos retains discretion over which of the described tools and processes are applied to any given application or interview, within the purposes set out below. This discretion does not extend to introducing automated decision-making without human review — that is addressed separately below. What we use your data for Your personal data will be processed for the purposes of managing Controller's recruitment-related activities, which include reviewing applications, setting up and conducting interviews and tests, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring process. As part of this process, we use software tools — including AI-assisted tools — to help us organise, screen, and evaluate applications and interviews. This includes: * Automated analysis of CVs and application materials to identify relevant skills and experience * Automated analysis of interview transcripts to help summarise and score responses (see "Interviews" below) * Generating scores, summaries, or insights to assist our recruiters Currently, these AI-assisted outputs are advisory only. A human recruiter reviews every application and every AI-generated score or summary before any decision is made, and no application is filtered out or rejected by an automated process alone. We may in future use automated tools to make, or take part in making, decisions about your application without human review at that stage, if we do so in a way that complies with applicable law at the time — for example, by obtaining your explicit consent, or where the decision is necessary for entering into a contract with you, and in either case only with appropriate safeguards, including your ability to request human review of, and to contest, that decision. If we intend to introduce this, we will update this notice and separately inform you before it applies to your application — this notice alone does not authorise it. We also use historical, aggregated recruitment data to improve our processes generally — for example, to better understand which factors tend to be associated with successful hires. Where this involves data from past applicants, it is anonymised or aggregated before use, and is not used to make any decision about a specific individual. Such processing is legally permissible under Art. 6(1)(f) UK/EU GDPR as necessary for the legitimate interests pursued by the Controller: the solicitation, evaluation, and selection of applicants for employment, and the improvement of Controller's recruitment processes. Interviews — recording and transcription If you're invited to an interview conducted by video or phone call, it will be recorded and automatically transcribed as a standard part of our recruitment process — this is described in this notice, which applies to your application as explained above. Where an interview is recorded: * The interview will be recorded and transcribed using our video-calling provider (Google Meet). * The transcript will be processed by AI tools (including models provided by Anthropic and Google) to help generate a summary and structured notes for the interview panel, and to help train and improve our own recruitment tools as described above. * The recording, transcript, and any AI-generated summary will be stored on Ophelos's systems (hosted via Cloudflare) and in Greenhouse. * A human interviewer/panel always reviews the AI-generated summary as part of forming their own assessment — it is a starting point for the panel, not a decision in itself. Recording and transcribing interviews in this way is necessary for us to evaluate all candidates fairly and consistently, and is carried out under our legitimate interests (Art. 6(1)(f) GDPR) in running a fair, well-documented recruitment process. Who we share your data with Your personal data will be shared with the following processors, engaged by Controller to help manage its recruitment and hiring process: * Greenhouse Software, Inc. — applicant tracking system (United States) * Google LLC — video interview hosting/recording (Google Meet), and AI models used to help analyse application and interview materials (United States) * Anthropic, PBC — AI models used to help analyse and summarise application and interview materials (United States) * Cloudflare, Inc. — infrastructure and data storage supporting our recruitment tools [confirm storage region before publishing] We use application and interview data, including through AI-assisted tools, to train and improve our own internal recruitment tools and models — for example, to refine how we identify relevant skills and experience, and to better understand what tends to be associated with successful hires. This is part of how we evaluate and improve our recruitment process on an ongoing basis. The third-party AI providers who process this data on our behalf do not use it to train their own general-purpose AI models — it is used only to generate the specific outputs described in this notice. International data transfers Because the above providers are located in or transfer data to the United States, if you are located outside the United States, your personal data will be transferred to the United States once you submit it or once your interview is processed. Where the European Commission has not made an adequacy determination covering such a transfer, it is subject to appropriate safeguards, including Standard Contractual Clauses and/or the EU-U.S. Data Privacy Framework where the recipient is certified. You can obtain a copy of the relevant safeguards by contacting support@ophelos.com. How long we keep your data Your personal data, including any interview recordings, transcripts, and AI-generated summaries, will be retained for the duration of the recruitment process and for 24 months afterwards, to allow us to consider you for other roles and manage any related legal claims, after which it will be deleted or anonymised. You can request earlier deletion at any time by contacting support@ophelos.com. Your rights Under the GDPR, you have the right to request access to your personal data, to request that it be rectified or erased, and to request that processing be restricted. You also have the right to data portability and the right to object to processing based on legitimate interests, including interview recording — though for the reasons explained above, we may not be able to progress an application where a candidate objects to standard recording of the interview stage. In addition, you may lodge a complaint with an EU or UK supervisory authority (in the UK, the Information Commissioner's Office).