{"id":2477185,"url":"https://alion.io/job/american-express-ai-engineer-iii-forward-deployed-engineer-enterprise-ai-platforms","title":"AI Engineer III - Forward Deployed Engineer - Enterprise AI Platforms","company":{"id":2209,"name":"American Express","domain":"americanexpress.com","url":"https://alion.io/company/american-express","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":99,"open_postings":47,"ghost_share":0,"stale_share":0.085,"repost_share":0.277,"time_to_fill_p50_days":8,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","Phoenix, United States","Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":140000,"max_usd":271000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":508},"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Human-in-the-Loop","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-13T19:40:31Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-27T12:48:41Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"Why Join American Express\nJoining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.\nThe Technology organization enables and accelerates the company’s growth strategies, delivering global capabilities and services in support of Amex’s customers and colleagues, while maintaining 24/7 servicing and availability to ensure uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.\nThe Enterprise AI Platform organization partners with business and technology teams to shape the Enterprise AI strategy, bring emerging technologies to the forefront, and build scalable, reusable AI platforms. This team plays a pivotal role in enabling American Express to operate as an AI-powered enterprise by equipping teams with the skills, platforms, and seamless deployment capabilities needed to accelerate responsible AI innovation, enhance decision-making, and drive customer impact with speed and scale.\nJoin a team shaping the future of AI at American Express. You will work directly with business and product leaders to turn high-value opportunities into trusted, secure, and responsible AI solutions, while helping successful ideas become reusable capabilities across the enterprise.\nFDE partners across American Express to transform high-value business opportunities into trusted, secure, and scalable AI solutions delivering measurable outcomes, accelerating adoption, and turning successful innovations into reusable enterprise capabilities.\nRole Summary\nAs a Forward Deployed AI Engineer, you will partner closely with business units, product teams, and engineering organizations to identify and reframe high-value opportunities, translate business challenges into clear value propositions, and build working solutions using Generative AI, agentic systems, and intelligent automation.\nYou will take opportunities from discovery and demonstration through proof of value, production scaling, adoption, and transition to long-term ownership. Demonstrations are a means of validating grounded value propositions, not the end goal. You will be accountable for advancing credible opportunities into real adoption and durable ways of working, with each stage tied to measurable outcomes and balanced with enterprise requirements for security, reliability, and responsible AI.\nThis is a hands-on engineering role with a significant stakeholder engagement component. You will influence without direct authority, communicate across levels of seniority and technical familiarity, and work alongside engineers to build and deploy reliable software.\nYou will challenge assumptions about how work is performed, analyze processes as systems, and identify the technical, operational, and organizational levers that can improve them. You will define a longer-term direction while sequencing practical near-term solutions that build toward it.\nCandidates may come from mobile, web, backend, distributed-systems, or workflow-platform backgrounds. What matters most is the ability to understand a system end to end, form a point of view, engage deeply with users, and turn direction into working software\n Opportunity discovery and transformation\nBuild trusted relationships and develop a deep understanding of business priorities, user needs, operational workflows, and sources of friction.\nChallenge existing assumptions, map processes as systems, and identify the technical, operational, and organizational changes most likely to improve them.\nLead discovery sessions that translate business needs into clear use cases, value propositions, measurable success criteria, and solution direction.\nAssess opportunities based on business value, technical feasibility, user impact, risk, and readiness for adoption.\nDefine a longer-term vision and identify the smallest useful intervention that can validate the opportunity while preserving a path to broader transformation.\nSolution design and delivery\nDesign, build, and deploy Generative AI, agentic AI, and intelligent automation solutions using approved enterprise platform capabilities.\nDevelop working demonstrations and proofs of value that test assumptions and measure business impact.\nTake solutions through prototyping, production scaling, adoption, and transition to long-term ownership.\nBuild agents and AI-enabled workflows that interact with enterprise APIs, knowledge sources, data platforms, applications, code, and business processes.\nIncorporate appropriate human input, approval, escalation, and fallback mechanisms.\nWork directly alongside engineering teams to produce software and apply the architecture, testing, deployment, and operational practices required for production use.\nUse experimentation selectively to reduce uncertainty while balancing speed with security, reliability, maintainability, and governance.\nAI-enabled engineering practices\nUse coding agents and AI-assisted engineering techniques to accelerate discovery, implementation, testing, documentation, and iteration.\nApply specification-driven development, context management, iterative planning, and structured knowledge repositories to preserve context and improve personal productivity.\nEvaluate agent-generated code and technical outputs for correctness, security, maintainability, and architectural alignment.\nIdentify where AI-enabled development practices can improve engineering throughput without compromising operational standards.\nPlatform contribution and scale\nGeneralize patterns and components developed through individual engagements for broader use.\nPartner with platform and product teams to turn successful prototypes into reusable features, accelerators, reference architectures, and paved-road implementation patterns.\nCapture lessons from deployments and use them to influence the enterprise AI platform and product roadmap.\nHelp teams adopt AI-enabled workflows and transition solutions into sustainable operating models.\nEvaluation, governance, and responsible AI\nDevelop evaluation approaches that measure solution quality, task completion, business outcomes, user experience, latency, cost, and reliability.\nIdentify and address failure modes through testing, monitoring, safeguards, and iterative improvement.\nEnsure solutions meet American Express requirements for security, privacy, risk management, responsible AI, and regulatory compliance.\nEstablish appropriate controls for model access, enterprise data, tool use, human oversight, and production operations.\nStakeholder leadership\nCommunicate technical concepts, tradeoffs, risks, and recommendations to audiences with different levels of technical familiarity and seniority.\nInfluence decisions and drive alignment across business, product, engineering, risk, and platform teams without relying on direct reporting authority.\nMaintain strong stakeholder relationships throughout discovery, delivery, adoption, and transition, and mentor partner teams on AI solution delivery.\n 3 or more years of experience delivering software, technical solutions, or digital products in an engineering, architecture, or technical consulting capacity.\nDemonstrated ability to take an ambiguous business or user problem through discovery, implementation, and measurable validation.\nExperience using coding agents in a structured engineering workflow, including specification-driven development, context management, iterative implementation, and reusable knowledge repositories.\nSoftware engineering fluency and the ability to contribute directly to applications, integrations, services, or technical prototypes.\nExperience in at least one relevant domain, such as mobile, web, backend services, APIs, distributed systems, platform engineering, workflow orchestration, or cloud-native development.\nAbility to reason about systems end to end, identify constraints and leverage points, and connect technical decisions to business outcomes.\nStrong communication and stakeholder-partnership skills, including the ability to explain technical concepts, challenge existing approaches constructively, and influence without direct authority.\nAbility to define a longer-term direction and sequence incremental solutions that build toward it.\nBachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience.\nEmployment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.\nPreferred Qualifications\nExperience building or deploying solutions powered by language models, agentic systems, or AI-enabled process flows.\nExperience with retrieval-augmented generation, vector databases, tool calling, model context protocols, knowledge retrieval, or workflow technologies such as Temporal, LangGraph, LangChain, or LlamaIndex.\nExperience designing human-in-the-loop controls and operational safeguards, with knowledge of AI evaluation, observability, and responsible AI.\nExperience supporting technology adoption or operating-model transformation, particularly in financial services or another regulated industry.\nSuccess Measures\nSuccess in this role will be measured by:\nAI opportunities that progress from discovery to proof of value and, where appropriate, production adoption.\nMeasurable business outcomes tied to clearly defined KPIs.\nAbility to identify and reframe valuable opportunities while connecting near-term delivery to longer-term transformation.\nSolutions that improve the broader workflow and are adopted into sustainable operating models.\nStrong stakeholder relationships, technical quality, and effective management of security, risk, and reliability.\nReusable capabilities and implementation patterns incorporated into the enterprise AI platform.\nWorking Model and Travel\nOccasional travel may be required for workshops or key delivery milestones, but frequent travel is not expected. Roles may be based near selected American Express offices to support close partnerships with regional business and product teams.","description_format":"text","description_chars":10513,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Commercial & Retail Banks","Cards & Card Issuing","Payment Processing & Gateways"],"lifecycle":[{"event":"open","at":"2026-10-13T21:45:14Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 101 · green card filings: 30","filings_12m":101,"filings_prev_12m":132,"green_card_filings_12m":30,"median_offered_wage_usd":139485,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":45}],"liveness":{"score":33,"band":"fade","label":"Fading","p_open":1,"p_active":0.726,"p_room":0.45,"age_days":13,"expected_fill_days":8,"reasons":["conf:3","velocity","win:tail","comp:brand"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/american-express-ai-engineer-iii-forward-deployed-engineer-enterprise-ai-platforms","json_url":"https://alion.io/job/american-express-ai-engineer-iii-forward-deployed-engineer-enterprise-ai-platforms.json","meta":{"generated_at":"2026-10-27T15:14:03Z","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":4160,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"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":2209},"rest":"https://alion.io/mcp/rest/get_company?id=2209"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Famerican-express-ai-engineer-iii-forward-deployed-engineer-enterprise-ai-platforms"},{"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%2Famerican-express-ai-engineer-iii-forward-deployed-engineer-enterprise-ai-platforms"},{"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%2Famerican-express-ai-engineer-iii-forward-deployed-engineer-enterprise-ai-platforms"},{"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/american-express-ai-engineer-iii-forward-deployed-engineer-enterprise-ai-platforms\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famerican-express-ai-engineer-iii-forward-deployed-engineer-enterprise-ai-platforms"}]}