{"id":3493760,"url":"https://alion.io/job/campbell-global-applied-ai-ml-lead-machine-learning-engineer-agentic-commerce","title":"Applied AI ML Lead - Machine Learning Engineer - Agentic Commerce","company":{"id":2649833,"name":"Campbell Global","domain":"campbellglobal.com","url":"https://alion.io/company/campbellglobal","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":94,"open_postings":144,"ghost_share":0.069,"stale_share":0.201,"repost_share":0.125,"time_to_fill_p50_days":13,"computed_at":"2026-11-03T05:54:40Z"}},"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":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":102000,"max_usd":197000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"Databricks","optional":false},{"name":"Embeddings","optional":false},{"name":"GraphRAG","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenSearch","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"Snowflake","optional":false},{"name":"Splunk","optional":false},{"name":"SQL","optional":false},{"name":"Fine-tuning","optional":true},{"name":"JavaScript","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Next.js","optional":true},{"name":"React.js","optional":true},{"name":"Svelte","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-10-05T13:43:50Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-11-04T00:58:00Z","board_verified":true,"closed_at":null,"days_open":29,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":29},"description":"Join us to shape the future of AI-powered solutions at JPMorganChase. You’ll leverage the firm’s scale, data, and technology to deliver measurable impact across the Commercial & Investment Bank and Payments. As a Lead AI and ML Engineer, you’ll collaborate with talented teams in a fast-paced environment, building agents that real businesses depend on. We offer opportunities for career growth, exposure to cutting-edge platforms, and the chance to make a difference in a regulated, secure setting.\nAs a Lead AI and ML Engineer in Digital & Platform Services / Data Analytics, you will design, productionize, and operate LLM-powered Agentic Commerce B2B agents on NEO. You will apply MLOps for automation, continuous delivery, and compliance, turning innovative ideas into shipped, production-grade agents. You’ll partner closely with business, product, data science, and engineering teams, expanding NEO’s portfolio of production agents across CIB sub-LOBs and Payments. Your work will help drive secure, auditable, and impactful AI solutions.\nJob Responsibilities:\nDesign and ship production agents on NEO, owning them from prototype through production\nBuild robust retrieval systems using Graph RAG, knowledge-graph traversal, vector search, chunking, ranking, and grounding strategies\nDesign agent memory, including episodic and semantic memory nodes, recall, summarization, and decay policies\nManage organizational context, assembling entitlement-, lineage-, and tenant-aware context for secure agent reasoning\nCompose multi-agent workflows using A2A and integrate tools and data through MCP servers (Bitbucket, Confluence, Databricks, Kubernetes, Snowflake, Splunk)\nBuild and run task-level and end-to-end agent evaluations, regression suites, LLM-as-judge, and quality/safety gating\nDeploy and operate solutions on public cloud (AWS and/or Azure) with strong SDLC, security, resiliency, and observability practices\nPartner with product and business teams to turn use cases into shipped, supported agents\nBuild traditional ML model training pipelines and productionize them using MLOps best practices\nDevelop batch and online inference for ML models\nRequired Qualifications, Capabilities, and Skills:\nMS in Computer Science, Statistics, Mathematics, Machine Learning, or related field (or equivalent experience)\nHands-on experience building LLM-powered or agentic applications in production, including tracing, evaluations, and guardrails\nStrong programming skills in Python, with deep knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics\nKnowledge of Kubernetes (AWS EKS)\nExperience with training models in Databricks and SageMaker\nExperience working with MLFlow\nPractical RAG experience-retrieval quality, embeddings, and vector stores; Graph RAG a strong plus\nExpert knowledge of at least one of: AWS, Azure, Kubernetes\nKnowledge of data management and data model design; real-time processing using SQL (e.g., Postgres) and NoSQL stores (e.g., OpenSearch, Redis)\nExcellent communication skills with the ability to partner effectively with senior technical and business stakeholders\nPreferred Qualifications, Capabilities, and Skills:\nExperience with agent frameworks or runtimes, A2A, or MCP\nAgent memory design (memory nodes, episodic/semantic memory) and organizational context management\nKnowledge graphs and graph databases used for retrieval\nUnderstanding of LLM fine-tuning and small language model inference\nAbility to develop full-stack products using modern JavaScript/TypeScript frameworks (e.g., Next.js, Svelte) for agent UIs (AG-UI / NEO UI SDK)\nExperience working in the financial or payments domain at a large institution","description_format":"text","description_chars":3704,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Forest Resources","Asset Management & Funds","Land & Agriculture Property"],"lifecycle":[{"event":"open","at":"2026-10-30T00:43:17Z"}],"visa":[],"liveness":{"score":24,"band":"cold","label":"Long shot","p_open":1,"p_active":0.678,"p_room":0.35,"age_days":28,"expected_fill_days":13,"reasons":["conf:0","velocity","win:tail","comp:brand"],"computed_at":"2026-11-03T05:54:40Z"},"pay":null,"html_url":"https://alion.io/job/campbell-global-applied-ai-ml-lead-machine-learning-engineer-agentic-commerce","json_url":"https://alion.io/job/campbell-global-applied-ai-ml-lead-machine-learning-engineer-agentic-commerce.json","meta":{"generated_at":"2026-11-04T01:56:13Z","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":2927,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"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":2649833},"rest":"https://alion.io/mcp/rest/get_company?id=2649833"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcampbell-global-applied-ai-ml-lead-machine-learning-engineer-agentic-commerce"},{"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%2Fcampbell-global-applied-ai-ml-lead-machine-learning-engineer-agentic-commerce"},{"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%2Fcampbell-global-applied-ai-ml-lead-machine-learning-engineer-agentic-commerce"},{"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/campbell-global-applied-ai-ml-lead-machine-learning-engineer-agentic-commerce\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcampbell-global-applied-ai-ml-lead-machine-learning-engineer-agentic-commerce"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3493760}},{"tool":"search_jobs","arguments":{"company":"campbellglobal.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3493760},"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); 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