{"id":2763762,"url":"https://alion.io/job/capgemini-forward-deployed-engineer-6","title":"Forward Deployed Engineer","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":80,"open_postings":1756,"ghost_share":0,"stale_share":0.78,"repost_share":0.003,"time_to_fill_p50_days":28,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-10-16T17:07:46Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-18T06:09:52Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.\nCapgemini Financial Services Forward Deployed Engineering Team\nThe FS Applied AI team provides our forward deployed engineering capability as part of the new FS AI Enterprise Hub, Capgemini Financial Services' capability for accelerating AI-led business transformation for our clients. The Hub combines strategy, AI assets, delivery methodologies, partner ecosystems, domain knowledge, and transformation expertise to help clients realise measurable business outcomes through AI. Our forward deployed engineering capability will sit at the centre of this mission, acting as the bridge between client strategy and execution across deal shaping, delivery, and industrialisation. Working alongside leading AI partners and Financial Services experts, our engineers help build repeatable capabilities, AI-enabled products, and transformation approaches that scale across our clients and the wider Capgemini ecosystem.\nOur FS AI Enterprise Hub will support our clients across a wide range of areas from Banking and Capital Markets and Insurance Business transformation, to Digital Customer Experience and across all areas of technology transformation.\nJob Description\nOur Forward Deployed Engineers (internally referred to as Outcome Delivery Engineers) are business-focused technologists who help Financial Services clients translate strategic intent into AI-enabled products, workflows, and operating capabilities. They remain accountable from opportunity discovery through delivery, adoption, and value realisation. They are hybrid business technologists, with some bringing stronger domain and business expertise and others offering deeper technical capabilities.\nEmbedded alongside clients’ business and technology teams, our FDEs discover and frame the real problem, define the right solution, and maintain accountability throughout the build and value realisation process. An FDE independently owns a customer use case from discovery through production deployment and handoff, coordinating the contributions of the broader delivery team. They partner with customer stakeholders, product teams, and engineering teams to define the problem, design the solution, build production-quality software, and drive measurable adoption.\nFDEs combine strong technical execution with business and domain understanding. Clients rely on them for both engineering judgment and business-value insight, and they shape, build, and industrialise solutions that deliver measurable outcomes. Working closely with our wider business and technology teams, FDEs architect, design, and deliver solutions that realise measurable outcomes for our clients.\nDiscover and Frame\nLead discovery and problem framing with client stakeholders; separate the real problem from the stated ask.\nDefine the success measures, value hypothesis, and target outcomes before anything is built.\nShape the solution direction and make the key decisions that follow: capability changes, workflow redesign, platform choices, architecture direction, and where AI belongs in the operating model.\nSolution and Build\nOwn the solution architecture and build the critical path hands-on; set the engineering, business, and delivery standard for the workstream.\nDeliver rapid prototypes, proofs of value, and production-ready increments that prove value early and de-risk decisions.\nSteer AI tooling and teams to produce production-quality output, and verify it before it ships.\nVerify generated output against both engineering and business failure classes, including reliability, security, performance, compliance, regulatory requirements, operational feasibility, and business outcomes.\nBring applied AI and generative AI to the solution as a usable product, not a demo, designing and implementing AI-powered workflows with appropriate human oversight.\nOwn the specification and acceptance criteria the pod and its tooling build against and sign off that what shipped is what was specified.\nDrive production readiness- reliability, security, compliance, observability, supportability, and operational sustainability- designed in from the start.\nDesign solutions that balance technical excellence, business value, user adoption, and regulatory obligations.\nBring expertise in one or more areas such as AI and agentic systems, software engineering, data and platform engineering, business architecture, operating-model transformation, workflow redesign, or digital product delivery.\nIndustrialise and Hand-Off\nTurn prototypes into repeatable, reusable assets, playbooks, patterns, and accelerators, and hand off cleanly to delivery or managed services.\nShare client learning across the wider FDE capability.\nEnsure solutions are documented, supportable, measurable, and ready to scale beyond the initial deployment.\nEnable and Own\nOwn the outcome through adoption; lead client demonstrations and pilots, and drive usage with real users.\nOrchestrate SMEs and secure the right depth at the right moment; support transition into delivery and managed services.\nAdvise client managers and directors as a trusted partner across business and technology domains.\nDesign and enable the operating-model changes the solution requires, including process redesign, capability mapping, workflow transformation, organisation impact, and technology adoption.\nDesign the adoption and change approach, including stakeholder engagement, training, communications, readiness, and benefit tracking.\nOwn the value hypothesis and track benefit realisation after go-live.\nMake the solution supportable by whoever inherits it through appropriate documentation, observability, runbooks, governance, and operational processes.\nShape and Sell\nContribute to pursuits and pre-sales: solution shaping, proof-of-value, and credible business and technical storytelling.\nSupport opportunity qualification, client workshops, value articulation, and solution demonstrations.\nRequired Qualifications\nProfessional experience in software engineering, solution architecture, technical consulting, business consulting, product management, or a comparable customer-facing role.\nDemonstrated ability to independently lead customer workstreams from discovery through deployment and adoption.\nAbility to independently navigate ambiguous requirements and convert them into measurable outcomes and executable delivery plans.\nStrong customer-facing communication, facilitation, stakeholder-management, and workshop leadership skills.\nAbility to explain technical concepts and business trade-offs to both engineering and business audiences.\nWorking knowledge of security, privacy, compliance, governance, and software lifecycle practices.\nWorking domain knowledge of financial services in at least one area of banking or insurance, including key products, business processes, customer journeys, data domains, controls, and regulatory requirements.\nAbility to map business processes, data, controls, and regulatory obligations to solution designs and measurable outcomes.\nHands-on experience applying AI, generative AI, workflow automation, analytics, or agentic AI approaches to business problems.\nFamiliarity with AI concepts including prompt engineering, retrieval-augmented generation (RAG), tool/function calling, agent orchestration frameworks, evaluation methods, guardrails, and responsible AI principles.\nExperience leading a multidisciplinary team, workstream, or delivery pod.\nPreferred Qualifications\nExperience delivering AI, generative AI, machine-learning, analytics, or workflow-automation solutions in production environments.\nExperience with cloud-native architectures, enterprise integration patterns, containers, infrastructure as code, or DevOps practices.\nExperience designing and integrating APIs, enterprise systems, data platforms, cloud services, or business-process transformation initiatives.\nExperience with business architecture, operating-model design, capability mapping, value-stream design, or process transformation.\nDomain experience in banking, insurance, customer service, operations, or contact-centre environments.\nFamiliarity with regulated environments, responsible AI, model-risk management, data governance, and compliance frameworks.\nExperience supporting pre-sales, solution shaping, business case development, or customer pursuits.\nThe base compensation range for this role in the posted location is: $130,000-$180,000\nCapgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.\nThe actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.\nThese may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.\nIt is not typical for candidates to be hired at or near the top of the posted compensation range.\nIn addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.\nCapgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:\nPaid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave\nMedical, dental, and vision coverage (or provincial healthcare coordination in Canada)\nRetirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)\nLife and disability insurance\nEmployee assistance programs\nOther benefits as provided by local policy and eligibility\nImportant Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.\nDisclaimers\nCapgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.\nThis is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. 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