{"id":4021794,"url":"https://alion.io/job/tenarai-forward-deployed-engineer-3","title":"Forward Deployed Engineer","company":{"id":861,"name":"Tenarai","domain":"tenarai.com","url":"https://alion.io/company/tenarai","size_band":"51-200","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitify","truth_index":{"grade":"A","score":88,"open_postings":4,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":40,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Copilot","optional":false},{"name":"GraphQL","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-06T11:18:48Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-10T20:39:11Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Project info:\nOur Enterprise Financial Platform enables mid-market and enterprise finance teams to run their books, accelerate quarterly closes, and put AI agents to work on live accounting operations. Forward Deployed Engineers (FDEs) report directly to Engineering, partner with Sales and Account Management on high-stakes deals and renewals, and own the last mile between core platform capabilities and production customer environments.\nResponsibilities:\nPre-Sale: Proof-of-Value & Technical Evaluation\nBuild working proofs-of-value directly inside (or against realistic replicas of) prospect data and systems-delivering real integrations and outputs rather than scripted demos.\nPartner with Account Executives from initial technical discovery with finance and IT teams to map chart of accounts, existing systems, and process gaps.\nLead technical evaluations, including architecture, security/compliance reviews, integration feasibility, and RFP responses with controllership and IT leadership.\nCo-develop the technical ROI narrative with Sales and present directly to economic buyers (CFOs and Controllers).\nIdentify technical and data-readiness risks early to guarantee accurate deal scoping and pricing.\nPost-Sale: Production Architecture & Implementation\nArchitect and deploy customer-specific AI Agent configurations to automate complex accounting processes, reinforce internal controls, and shorten close cycles.\nPerform deep technical troubleshooting: write and review Python, author SQL for integrations, and resolve system configuration issues.\nServe as the technical escalation point for data flows, SQL-based validations, and API workflows; document issues comprehensively and escalate to Engineering under established SLAs.\nPost-Sale: Client Transformation & Expansion\nLead transformation engagements with enterprise finance teams, pinpointing operational bottlenecks and deploying high-leverage AI Agents.\nServe as the primary technical point of contact across implementations for CFOs, Controllers, and finance leadership.\nGuide workflow redesign, change management, and value realization to scale adoption, carrying the proof-of-value discipline into expansions and renewals.\nTravel up to 30-40% to customer sites for pre-sale evaluations, on-site deployments, and training workshops.\nProduct Feedback & Practice Building\nAct as the Voice of the Customer: deliver structured feedback, integration requirements, and product gaps to Product and Core Engineering roadmaps.\nCollaborate with Product Management to turn field discovery insights into repeatable AI Agent workflows.\nCreate reusable implementation guides, expansion frameworks, and operational playbooks.\nEducate internal teams and customers on durable AI Agent design and AI-driven workflow transformation.\nOrganizational Alignment\nSales & Account Management: You are the technical face of the platform across both sides of the contract. While not carrying a quota, you de-risk the pipeline and drive technical alignment during initial sales, QBRs, renewals, and expansions.\n Core Engineering: You report to Engineering and deliver the last-mile integration layer on top of core platform releases (without duplicating or re-architecting the core product), funneling common field patterns back into product engineering.\nJob requirements:\nRequired\nExperience: 5 to 10+ years in Forward Deployed Engineering, Solutions Engineering, Sales Engineering, technical consulting, or customer-embedded engineering roles.\nAgentic AI: Hands-on experience with LangChain, LangGraph, MCP servers, multi-agent frameworks, RAG, vector stores, and hybrid retrieval.\n LLMs & Tooling: Practical use of OpenAI, Gemini, Anthropic; prompt engineering; and developer tooling (GitHub Copilot, Gemini Code Assist).\nIntegrations & Data: Deep expertise with REST APIs, GraphQL, webhooks, SQL, and enterprise data integrations.\nLifecycle Breadth: Proven ability to build rapid proofs-of-value under deal pressure and maintain those systems reliably in customer production.\nExecution: Track record of managing concurrent technical deployments under tight delivery schedules and leading technical troubleshooting calls with customer IT.\nCommunication: Ability to partner as a peer with Product/Engineering and translate ambiguity into clear technical requirements for both engineers and C-level executives.\nPreferred\nBackground in high-growth SaaS, applied AI, or fintech/ERP/accounting domains.\nSpecialized domain expertise in at least one target vertical:Construction: Job costing, WIP, retainage.\nNonprofit: Fund accounting, grant and donor compliance.\nManufacturing: Inventory, cost accounting, production workflows.\nWealth Management: Client billing, regulatory reporting, investment accounting.\nHealthcare: Revenue cycle, compliance-heavy financial operations.\nFranchise: Franchisor performance, franchisee governance.\n Field Services: Job/work-order costing, schedule-linked billing.\n\nPrior experience embedded on-site at customer locations for multi-month deployments.\nNon-traditional backgrounds are welcomed (e.g., veterans, management consultants, competitive programmers, PhDs).","description_format":"text","description_chars":5136,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Custom Software Development","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-11-10T15:18:16Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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