{"id":2567812,"url":"https://alion.io/job/claritypay-forward-deployed-engineer-ai","title":"Forward Deployed Engineer, AI","company":{"id":673131,"name":"ClarityPay","domain":"claritypay.com","url":"https://alion.io/company/claritypay","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":11,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":154,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":145000,"max":195000,"currency":"USD","period":"year","gross":null,"usd_annual":195000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"ClickHouse","optional":false},{"name":"Databricks","optional":false},{"name":"n8n","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Zapier","optional":false},{"name":"A/B Testing","optional":true},{"name":"Model Context Protocol","optional":true}],"status":"live","first_seen_at":"2026-10-14T20:55:44Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T06:06:56Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Us:\nAt ClarityPay, we’re redefining the point-of-sale credit market to bring more value to merchants. Based in NYC and Atlanta, our fast-growing fintech empowers large merchants with configurable “Pay-Over-Time” tools- including monthly installments, BNPL, and revolving products. We solve complex credit challenges with speed, precision, and intelligence.\nOur values guide everything we do: we put merchants first, stay data-driven, always know the why, learn relentlessly, and win together as a team.\nRole Overview:\nClarityPay is seeking Forward Deployed Engineers to embed with the teams that run the company and turn how they work into dependable, AI-native systems. You will sit with process owners in finance, credit and portfolio risk, servicing and collections, and operations; scope the problem with them before building; ship agents, controls and automations into production; and stay through adoption as the named secondary owner of the process. You will join the Data & AI organization, working alongside engineers in New York and India on a shared platform, and alongside Product and Engineering you will build external-facing AI solutions for merchants and partners on the ClarityPay platform. You will use AI tooling to make the build the easy part, and you will be measured on what is adopted and relied upon, not on what is demoed.\nKey Responsibilities:\nEmbed with process owners to map how the work actually runs, scope the problem with them before building, and agree success criteria and a baseline up front.\n\nOwn delivery end to end - discovery, technical scoping, system design, build and production rollout - and stay through adoption as the named secondary owner of the process.\n\nChoose the simplest dependable solution: simplify or remove a step before automating it, then pick a scheduled job, a triggered job, or a bounded agent with a defined mandate, action set, escalation owner and pause conditions.\n\nWrite evaluations for everything you ship: prove the output is correct before a team depends on it, and re-check it as models, data and processes change.\n\nInstrument what you build, and the processes around it, with detective (“day-zero”) controls - thresholds, exception inventories and alerting, each with an action path and a named owner - so a breach surfaces the same day, not at month-end.\n\nBuild external-facing AI solutions for merchants and partners with Product and Engineering; anything external ships through Engineering’s review and deployment standards.\n\nCodify reusable patterns, evals and harness standards so the second deployment is faster than the first; prefer reusable capabilities over one agent per task, and bring field signal back to the platform roadmap.\n\nWork inside ClarityPay’s controls for AI - evaluate before exposure, bound the exposure, keep a person at the gate - and propose where a human must review, where automation may act unattended, and what gets logged.\n\nOwn the value case: set impact hypotheses and baselines, measure before and after, and report to executives on business impact, total effort saved (including review and maintenance), control quality and reuse.\n\nContinually promote and apply ClarityPay values; be a role model of trust and integrity.\n\nWhat Success Looks Like in Your First 6-12 Months:\nDesktop and spreadsheet-based reporting processes are inventoried, baselined and moved onto AI agentic systems running on governed data, with a person at the gate where judgment is needed.\n\nRecurring performance reporting - portfolio, collections, servicing and finance - is produced by agents from governed metrics rather than manual pulls, on time and traceable to source.\n\nDay-zero controls are live in your first processes, each with a threshold, an action path and a named owner, so breaches surface the same day.\n\nThe effort returned is measured against the baseline, net of review, exceptions and maintenance, and reported to executives.\n\nAt least one external-facing solution for merchants or partners is in production and adopted.\n\nThe patterns, evals and agent-harness standards you built are reused by the next deployment.\n\nQualifications:\nCurious, energetic, positive, solution-oriented, collaborative, trusted.\n\n2-5 years of software engineering or technical deployment experience that includes working directly with business users - in operations, business systems, solutions engineering, or technical consulting.\n\nProduction experience with LLMs: prompt engineering, agent or skill development, and evaluation. Things other people depend on, not demos.\n\nStrong Python and SQL: you write and review production code and use AI-assisted development to move faster. Low-code and automation platforms (e.g., Retool, Zapier, n8n) are useful, not a substitute.\n\nData fluency in a lakehouse environment (e.g., Databricks, ClickHouse): pull answers out of governed data, build reliable pipelines, and catch when the output is wrong.\n\nHigh agency and comfort with ambiguity - you will choose what to automate as often as you are told.\n\nStrong discovery and communication skills: able to sit with a collections specialist or a finance analyst, understand their workflow, and explain trade-offs to a non-technical audience; comfortable working across time zones with engineering colleagues in India.\n\nJudgment about what should not be automated - where the cost of being wrong outweighs the time saved.\n\nNice to Have:\nFintech, lending, payments, banking, or another regulated environment.\n\nExperience building MCP servers, sub-agents, or agent skills.\n\nMLOps or experimentation experience: evaluation frameworks, staged A/B tests, model monitoring.\n\nPrior forward-deployed, professional services, or founding-engineer experience.\n\nHow You’ll Know This Role Is Right for You:\nYou see manual, repetitive work and cannot leave it alone.\n\nYou would rather ship a working automation this week than design the perfect one this quarter.\n\nYou have receipts - things you actually built that other people now depend on.\n\nYou want range: collections one month, month-end close the next, portfolio risk monitoring after that.\n\nYou would rather stay through adoption than hand off at launch.\n\nWhat We Offer:\nBase salary range: $145,000-$195,000, plus variable compensation and equity.\n\nComprehensive benefits (medical, dental, vision).\n\n401k program.\n\nReady to redefine point-of-sale financing with us? Apply today and join a passionate team committed to making financial clarity a reality.\nClarityPay is an equal opportunity employer. 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