{"id":922181,"url":"https://alion.io/job/jpmorganchase-senior-lead-software-engineer-ml-engineer-for-agent-platform","title":"Senior Lead Software Engineer - ML Engineer for Agent Platform","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":90,"open_postings":1151,"ghost_share":0.01,"stale_share":0.533,"repost_share":0.06,"time_to_fill_p50_days":12,"computed_at":"2026-10-30T05:48:23Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Jersey City, United States","Tampa, United States","Austin, United States","Plano, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":212000,"max_usd":440000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":782},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"Docker","optional":true},{"name":"GraphRAG","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"RAG","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-07-20T00:00:00Z","employer_posted_date":"2026-07-20","last_verified_at":"2026-10-30T08:46:18Z","board_verified":true,"closed_at":null,"days_open":102,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":101},"description":"Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.\nAs a Senior Lead Software Engineer - ML Engineer for Agent Platform at JPMorgan Chase within the Commercial and Investment Banking - Data Analytics Payments Team, you are a senior technical leader on the team that builds and runs NEO, the firm's agent runtime platform for Payments Technology. You set the architecture for how agents execute, communicate, remember, and get evaluated in a secure, stable, and scalable way. As a core technical contributor and technical direction-setter, you are responsible for the hardest technology decisions across multiple technical areas in support of the firm's business objectives, and for raising the engineering bar across the teams that build on NEO.\nJob responsibilities\nOwns end-to-end architecture of the NEO agent runtime, including secure execution and isolation (micro-VMs such as Firecracker/Kata), agent-to-agent (A2A) communication, Model Context Protocol (MCP) tooling, the memory layer, and evaluation infrastructure\nExecutes creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems\nDevelops secure and high-quality production code, and reviews and debugs code written by others; sets code and design standards adopted across teams building on NEO\nDrives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team\nApplies and shapes the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation\nIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of the platform and the agents running on it\nDefines the permission-aware, auditable execution model for the runtime, including fine-grained authorization (OpenFGA) and runtime policy (OPA/Rego), so agents operate safely in a regulated environment\nLeads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture\nLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies, and mentors Lead and senior engineers\nAdds to team culture of diversity, opportunity, inclusion, and respect\nRequired qualifications, capabilities, and skills\nFormal training or certification on software engineering concepts and 5+ years applied experience\nHands-on practical experience delivering system design, application development, testing, and operational stability for platforms, runtimes, or distributed systems in production\nAdvanced in one or more programming language(s); strong Python plus a systems language (Go or Rust) for performance-sensitive runtime work\nDemonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security\nStrong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices\nDemonstrated experience building or operating LLM/agent systems in production, including tracing, evaluations, and guardrails\nProficient in all aspects of the Software Development Life Cycle\nAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security\nDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning)\nIn-depth knowledge of the financial services industry and their IT systems\nPractical cloud native experience; production Kubernetes expected\nPreferred qualifications, capabilities, and skills\nExperience architecting secure code execution and sandboxing with micro-VMs (Firecracker, Kata, gVisor) for multi-tenant isolation\nExperience designing or implementing agent protocols (A2A, MCP) and multi-agent orchestration\nExperience with agent or distributed memory systems - memory nodes, episodic/semantic memory, and graph-backed retrieval (Graph RAG)\nExposure to LLMs, RAG architectures, vector databases, and embedding-based retrieval systems\nFine-grained authorization (OpenFGA / Zanzibar-style) and policy engines (OPA/Rego)\nEvaluation infrastructure for agents - offline/online evals, regression suites, and LLM-as-judge quality/safety gating in CI\nProficiency with Infrastructure as Code (Terraform) and containerized deployments (Docker, Kubernetes)","description_format":"text","description_chars":5367,"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":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Wealth Management & Financial Advisors","Asset Management & Funds","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-15T01:59:36Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 3,429 · green card filings: 933","filings_12m":3429,"filings_prev_12m":3601,"green_card_filings_12m":933,"median_offered_wage_usd":160366,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+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":2086}],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.199,"p_room":0.28,"age_days":102,"expected_fill_days":12,"reasons":["conf:2","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-30T05:48:23Z"},"pay":null,"html_url":"https://alion.io/job/jpmorganchase-senior-lead-software-engineer-ml-engineer-for-agent-platform","json_url":"https://alion.io/job/jpmorganchase-senior-lead-software-engineer-ml-engineer-for-agent-platform.json","meta":{"generated_at":"2026-10-30T09:16:55Z","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":13329,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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":257},"rest":"https://alion.io/mcp/rest/get_company?id=257"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fjpmorganchase-senior-lead-software-engineer-ml-engineer-for-agent-platform"},{"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%2Fjpmorganchase-senior-lead-software-engineer-ml-engineer-for-agent-platform"},{"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%2Fjpmorganchase-senior-lead-software-engineer-ml-engineer-for-agent-platform"},{"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/jpmorganchase-senior-lead-software-engineer-ml-engineer-for-agent-platform\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fjpmorganchase-senior-lead-software-engineer-ml-engineer-for-agent-platform"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":922181}},{"tool":"search_jobs","arguments":{"company":"jpmorganchase.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":922181},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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