{"id":2907802,"url":"https://alion.io/job/neurons-lab-forward-deployed-ai-architect","title":"Forward-Deployed AI Architect","company":{"id":4957,"name":"Neurons Lab","domain":"neurons-lab.com","url":"https://alion.io/company/neurons-lab","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["BG","CY","CZ","HU","IT","PL","RO","RS","ES","UA","AL","EE","GR","LT","MD","MK","PT","SK","SI"],"hiring_countries_total":19,"salary":null,"salary_estimate":{"min_usd":71000,"max_usd":135000,"period":"year","method":"role_seniority_country_cell","sample_n":10},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"AWS","optional":true}],"status":"live","first_seen_at":"2026-10-20T07:41:49Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-23T20:44:54Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About the role\nWe are looking for a hands-on Forward-Deployed AI Architect to lead the technical delivery of an AI-assisted operations platform for an enterprise client in travel disruption management.\nThe current phase covers three connected workflows:\nProcessing and routing service requests\n\nRanking and recommending hotels\n\nClosing cases with billing reconciliation and downstream system handoff\n\nYou will turn operational knowledge and existing software into a working, testable system with explicit human approvals and traceable decisions.\nThis is technical leadership, not architecture-only advice or task execution. You will work directly with operational experts, the client’s technology partners and our engineers, challenge assumptions constructively, and carry the technical solution from discovery through implementation and evaluation.\nHow you will work\nYou own the technical approach, engineering plan, implementation quality and evidence of readiness. You partner with the engagement Principal, who owns the integrated delivery plan, commercial scope and client commitments. You provide feasibility assessments before commitments are made and escalate unresolved dependencies or scope changes with options and their impact.\nWhat you will own\n1. Establish an evidence-based technical baseline\nInspect the code, infrastructure, APIs and operator workflows before estimating the build.\n\nTranslate discovery into concise specifications with inputs, outputs, exclusions, acceptance tests and source references.\n\nDistinguish confirmed requirements from analyst recommendations and assumptions.\n\nResolve contradictions with the appropriate owner. Do not implement them silently.\n\n2. Make integration work early\nBuild and review critical components, guide engineers and prove a thin end-to-end path in the client’s test environment: receive a request, retrieve operational data, produce a recommendation, obtain approval and perform the agreed system handoff.\n\nVerify API access, write capabilities, event contracts and error paths. Do not treat documentation or isolated components as proof of readiness.\n\n3. Make rules and knowledge maintainable\nDesign a clear separation between operational facts, business policies and software logic.\n\nWork with named business owners to define rule precedence, exceptions, validation and approval.\n\nKeep draft or inferred rules separate from approved rules.\n\nSupport versioned updates without a software release, with historical replay, traceable approval and rollback.\n\nUse grounded reasoning and human escalation where rules do not resolve a case.\n\n4. Own engineering quality and evaluation\nReview and test code, including AI-generated code, against the agreed architecture.\n\nEstablish automated CI checks, integration tests and representative operational cases.\n\nTrack the exact application, rule and data versions evaluated.\n\nImplement decision logs, monitoring, access controls and failure recovery.\n\nDefine test-readiness evidence and agree workflow-quality, latency and operating-cost measures with the team and client.\n\n5. Keep technical decisions and progress clear\nMaintain a concise architecture and decision record that shows what works, what remains and why.\n\nRaise blockers early with evidence, an owner, a decision needed and delivery impact.\n\nPropose simpler alternatives and update estimates when assumptions change.\n\nDemonstrate working increments, and clearly distinguish prototypes from integrated functionality.\n\nLeave the team with maintainable code, documentation and a practical handover.\n\nWhat good looks like\nBefore build commitments: a reviewed technical baseline, verified critical dependencies and explicit assumptions behind the estimate.\n\nDuring delivery: a working end-to-end increment, automated tests running in CI, and demonstrated progress against agreed acceptance cases.\n\nFor rule changes: a named business approver, a versioned baseline and recorded replay results before promotion.\n\nAt evaluation: reproducible results, decision traces and documented limitations that support the agreed Go/No-Go decision, not just a successful demo.\n\nSpecific targets will be agreed after the baseline is established. You will stay involved from the initial working sessions through delivery and evaluation.\nWhat you bring\nEvidence of taking an applied AI or LLM-enabled workflow beyond a prototype into operational use.\n\nStrong hands-on software engineering, architecture, API integration and code-review skills.\n\nExperience turning incomplete or conflicting discovery material into implementable, testable specifications.\n\nSound judgment about structured rules, retrieval, AI reasoning and human review, including their failure modes.\n\nPractical experience with evaluation datasets, regression testing, CI and production observability.\n\nConfidence to challenge assumptions, explain alternatives and escalate decisions constructively across business and engineering teams.\n\nClear, concise communication and realistic estimation based on verified dependencies and available capacity.\n\nNice to have\nExperience in exception-heavy operations, business-rule systems, travel, hospitality or logistics\n\nFamiliarity with AWS-based AI deployments\n\nLogistics\nThe role includes an in-person working session in Milan. Please share your earliest start date, realistic weekly availability and ability to travel.","description_format":"text","description_chars":5368,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Bulgaria","iso":"BG","kind":"country"},{"name":"Cyprus","iso":"CY","kind":"country"},{"name":"Czech Republic","iso":"CZ","kind":"country"},{"name":"Hungary","iso":"HU","kind":"country"},{"name":"Italy","iso":"IT","kind":"country"},{"name":"Poland","iso":"PL","kind":"country"},{"name":"Romania","iso":"RO","kind":"country"},{"name":"Serbia","iso":"RS","kind":"country"},{"name":"Spain","iso":"ES","kind":"country"},{"name":"Ukraine","iso":"UA","kind":"country"},{"name":"Albania","iso":"AL","kind":"country"},{"name":"Estonia","iso":"EE","kind":"country"},{"name":"Greece","iso":"GR","kind":"country"},{"name":"Lithuania","iso":"LT","kind":"country"},{"name":"Moldova","iso":"MD","kind":"country"},{"name":"North Macedonia","iso":"MK","kind":"country"},{"name":"Portugal","iso":"PT","kind":"country"},{"name":"Slovakia","iso":"SK","kind":"country"},{"name":"Slovenia","iso":"SI","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Agents","Financial AI","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-10-20T08:31:40Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":2,"expected_fill_days":68,"reasons":["conf:3","win:early"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/neurons-lab-forward-deployed-ai-architect","json_url":"https://alion.io/job/neurons-lab-forward-deployed-ai-architect.json","meta":{"generated_at":"2026-10-23T22:24:49Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":5111,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4957},"rest":"https://alion.io/mcp/rest/get_company?id=4957"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fneurons-lab-forward-deployed-ai-architect"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fneurons-lab-forward-deployed-ai-architect"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fneurons-lab-forward-deployed-ai-architect"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/neurons-lab-forward-deployed-ai-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fneurons-lab-forward-deployed-ai-architect"}]}