{"id":2565797,"url":"https://alion.io/job/american-express-senior-agentic-ai-infrastructure-engineer-i-core-platforms","title":"Senior Agentic AI Infrastructure Engineer I - Core 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":"DevOps","role_family":"DevOps","seniority":"senior","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"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":121000,"max_usd":230000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1808},"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AIOps","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Configuration Management","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Docker","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Fine-tuning","optional":false},{"name":"FinOps","optional":false},{"name":"GCP","optional":false},{"name":"Grafana","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangGraph","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"PowerShell","optional":false},{"name":"Prometheus","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Puppet","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Terraform","optional":false},{"name":"TPU","optional":false},{"name":"Vertex AI","optional":false},{"name":"Waterfall","optional":false},{"name":"Windows","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-10-14T19:36:22Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-27T18:26:58Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency, and drive competitive differentiation with speed. We support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also provide product management for core enterprise platforms, and lead technology risk and information security, enterprise data governance and platforms, digital product and design, and enterprise AI platforms on behalf of the company.\nThe AI Infrastructure Engineer collaborates with application and platform teams to design, implement, and optimize secure, scalable infrastructure solutions for AI-enabled workloads. This role resolves complex technical issues, ensures strong system performance, reliability, and security, and leads infrastructure initiatives that align with business objectives and platform strategy.\n Mentors junior Infrastructure Engineers and cross-functional team of colleagues, fostering a culture of excellence and innovation\nLeads projects collaborating with multiple cross-functional teams within budget and schedule, ensuring timely issue resolution and maintaining high standards of design, implementation, testing, and compliance\nGuides stakeholders on aligning processes with industry best practices and business objectives\nProvides guidance and support to junior engineers, fostering professional growth and development within the team\nCollaborates with application teams to integrate business needs into comprehensive infrastructure solutions, aligning with business objectives and platform roadmap\nLeads infrastructure design and selection, ensuring solutions meet customer needs and strategic goals\nDiagnoses and resolves complex infrastructure issues, providing support during outages to ensure minimal disruption\nMonitors and addresses capacity and availability issues, conducts performance and security assessments, and supports certification and accreditation processes\nLeads the efforts towards defining and maintaining processes, documentation, and engineering diagrams for technical and operational support\nEmbeds AI-assisted observability, automation, and documentation capabilities into team workflows to improve deployment efficiency, issue detection, infrastructure analysis, troubleshooting, production support, system readiness, and operational support for specialized compute environments supporting AI-enabled workloads.\nEmbeds ML-powered AIOps and custom anomaly detection into team workflows, using metrics, logs, and traces to detect anomalies, predict failures, and correlate incidents across distributed systems.\nEmbeds AI-assisted infrastructure-as-code development and review practices using tools such as GitHub Copilot, Claude Code, Cursor, and similar capabilities into engineering workflows, improving consistency, deployment quality, and operational efficiency.\nSupports infrastructure environments hosting AI-enabled workloads, including cloud-based LLM platforms such as AWS Bedrock, Azure AI Foundry/Azure OpenAI, and Google Vertex AI, while mentoring engineers on responsible use of AI-enabled infrastructure tools, prompt engineering, runbook generation, incident troubleshooting, postmortem summarization, operational analysis, validation, oversight, and operational readiness of GPU- and TPU-enabled infrastructure environments.\nDesigns and operates GPU- and accelerator-enabled compute platforms, including cluster scheduling, workload placement, capacity management, quota and reservation controls, and utilization optimization.\nBuilds reusable platform capabilities for model training, fine-tuning, inference, and agentic workloads using Kubernetes, containers, infrastructure as code, and automated delivery pipelines.\nEngineers high-performance storage, networking, and data-movement patterns required for distributed AI workloads, with measurable service-level objectives for availability, latency, throughput, and recovery.\nImplements end-to-end observability and FinOps controls for AI infrastructure, including workload telemetry, accelerator utilization, cost attribution, anomaly detection, performance tuning, and capacity forecasting.\nPartners with AI engineers, security, risk, and platform teams to establish secure multi-tenant isolation, identity and access controls, secrets management, software supply-chain controls, and operational readiness. \n Work Experience\nDesigning infrastructure for AI agents, including agent runtimes, orchestration frameworks, tool integrations, asynchronous execution, and stateful workflows. Examples include LangGraph, Semantic Kernel, and comparable frameworks.\n\nExperience applying Agentic AI tools to support infrastructure engineering, platform support, or cloud operations work, including reviewing AI-generated operational insights.\n\nExperience validating AI-generated operational outputs and incorporating AI-enabled practices into infrastructure workflows, including AI-assisted operational recommendations requiring human review and approval.\n\nExperience with Kubernetes-based AI platforms, containers, workload schedulers, and GPU or accelerator orchestration in cloud or hybrid environments.\n\nExperience operating model-serving or inference platforms and optimizing throughput, latency, availability, and cost for production AI workloads.\n\nExperience with distributed training or inference infrastructure, high-performance networking and storage, accelerator telemetry, and capacity planning.\n\nExperience implementing security, reliability engineering, observability, and FinOps practices for multi-tenant AI infrastructure.\n\nExperience in different programming languages, DevOps tools such as Ansible, Puppet, Terraform, Python, Shell scripting and PowerShell, and their applications in infrastructure.\n\nExperience in infrastructure components such as servers, storage, networking, and virtualization technologies.\n\nExperience in network protocols and their job in infrastructure management.\n\nExperience in networking fundamentals.\n\nExperience in databases.\n\nExperience in tools used in planning, analyzing, crafting, building, testing, configuring, and maintaining applications.\n\nExperience in cloud platforms (e.g., AWS, Azure, Google Cloud).\n\nExperience in monitoring technologies such as Prometheus, ElasticSearch and Grafana.\n\nEducation and Knowledge\n5+ Years of experience in infrastructure engineering, cloud engineering, DevOps, or a related technical field, including at least 2 years of hands-on experience supporting AI-enabled infrastructure, AI automation, or agentic AI technologies.\n\nBachelor's degree in Computer Science, Information Technology, Engineering, and/or comparable experience; advanced degree preferred\n\nKnowledge of application infrastructure and standards\n\nKnowledge of storage management (e.g., SAN, NAS) design and support\n\nKnowledge of middleware technologies\n\nKnowledge of software defined networking, automation, and orchestration and their applications\n\nKnowledge of platform delivery methodology (Agile, Scrum, Agile XP, Best in Class Development, Waterfall, etc.)\n\nKnowledge of scripting and automation skills (e.g., PowerShell, Bash, Python)\n\nKnowledge of DevOps practices and tools (e.g., continuous integration/continuous deployment pipelines, Docker, Kubernetes)\n\nKnowledge of cloud technologies\n\nKnowledge of Windows and Linux administration\n\nWorking knowledge of AI-assisted infrastructure automation, observability, and deployment support capabilities, and infrastructure services commonly used to support AI-enabled workloads\n\nWorking Knowledge of AI use cases in configuration management, incident analysis, infrastructure operations, and AI-assisted operational workflows that incorporate human oversight and approval controls.\n\nEmployment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.","description_format":"text","description_chars":8236,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["Commercial & Retail Banks","Cards & Card Issuing","Payment Processing & Gateways"],"lifecycle":[{"event":"open","at":"2026-10-14T21:55:44Z"}],"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":13}],"liveness":{"score":34,"band":"fade","label":"Fading","p_open":1,"p_active":0.762,"p_room":0.45,"age_days":12,"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-senior-agentic-ai-infrastructure-engineer-i-core-platforms","json_url":"https://alion.io/job/american-express-senior-agentic-ai-infrastructure-engineer-i-core-platforms.json","meta":{"generated_at":"2026-10-27T19:40:16Z","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":10383,"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-senior-agentic-ai-infrastructure-engineer-i-core-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-senior-agentic-ai-infrastructure-engineer-i-core-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-senior-agentic-ai-infrastructure-engineer-i-core-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-senior-agentic-ai-infrastructure-engineer-i-core-platforms\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famerican-express-senior-agentic-ai-infrastructure-engineer-i-core-platforms"}]}