{"id":2917499,"url":"https://alion.io/job/jpmorganchase-applied-ai-engineer-markets-operations-associate","title":"Applied AI Engineer, Markets Operations – Associate","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":null,"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":111000,"max_usd":296000,"period":"year","method":"role_country_seniority_unknown","sample_n":168},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FastAPI","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"AWS","optional":true},{"name":"MLFlow","optional":true}],"status":"live","first_seen_at":"2026-07-23T20:48:59Z","employer_posted_date":"2026-07-23","last_verified_at":"2026-10-30T08:46:18Z","board_verified":true,"closed_at":null,"days_open":98,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":97},"description":"Help shape the next wave of Applied AI innovation in Markets Operations by turning ideas into production-ready solutions. You will build practical AI capabilities that improve workflows, strengthen controls, and unlock productivity for teams across the organization. Working alongside engineers, AI specialists, and operations partners, you will bridge cutting-edge techniques with enterprise-grade systems. At JPMorganChase, you can grow your career through meaningful work, strong mentorship, and hands-on ownership. Join a team that values creativity, collaboration, and continuous learning.\nAs an Applied AI Engineer in the applied AI team within Markets Operations, you will design, build, test, and deploy scalable AI services integrated with strategic systems and operational processes. You will collaborate with software engineers, AI and data science specialists, operations stakeholders, and business partners to improve operational workflows, controls, and the software development lifecycle. You will focus on hands-on engineering across Python services, APIs, data pipelines, infrastructure, monitoring, and production readiness. You will build domain knowledge across Markets Operations and translate real workflow pain points into durable solutions. You will contribute to a culture of innovation, collaboration, and engineering excellence.\nJob Responsibilities\nContribute to technology and architecture patterns that enable AI solutions across Markets Operations and software engineering use cases\nBuild and enhance robust, scalable, reusable AI services and supporting infrastructure using modern technologies\nCollaborate with AI and data science specialists to design, develop, test, and deploy services integrated with strategic systems and operational processes\nLearn Markets Operations processes and apply that knowledge to develop practical solutions and integrations with banking operations systems\nEvaluate new AI infrastructure technologies and share findings to inform team technical decisions\nDocument designs, implementation details, and tradeoffs to support maintainability and knowledge sharing\nSupport scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability\nPartner with operations stakeholders to understand workflow pain points and translate them into practical technology solutions\nRequired Qualifications, Capabilities, and Skills\nHold a Bachelor’s or Master’s degree in Computer Science, Software Engineering, a related field, or equivalent practical experience\nDemonstrate strong Python programming skills\nDesign, develop, and integrate RESTful APIs, such as with FastAPI\nBuild and support ETL and data pipeline engineering workflows\nApply Infrastructure as Code practices, such as Terraform, and work within CI/CD pipelines\nDesign and integrate databases and data models\nApply monitoring practices and understand controls and compliance concepts in production environments\nCommunicate effectively in writing and verbally, explaining technical concepts to technical and non-technical audiences\nCollaborate effectively on multi-disciplinary teams and incorporate feedback into your work\nPreferred Qualifications, Capabilities, and Skills\nApply AI and machine learning concepts with a strong interest in applied AI productization\nBring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets, or enterprise technology\nDemonstrate familiarity with Markets Operations processes such as trade lifecycle, post-trade operations, reconciliations, controls, or exception management\nUse AWS and tools such as MLflow\nDevelop front-end capabilities with React or modern front-end development\nApply graph database modeling concepts\nWhy Join Us?\nYour contributions will help redefine what’s possible in financial services. 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