{"id":1453858,"url":"https://alion.io/job/jpmorganchase-lead-software-engineer-java-cloud-platforms-aws-kafkagenerative-ai","title":"Lead Software Engineer - Java, Cloud Platforms (AWS), Kafka,Generative AI","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":100,"open_postings":483,"ghost_share":0.01,"stale_share":0.112,"repost_share":0.126,"time_to_fill_p50_days":10,"computed_at":"2026-10-13T05:45:00Z"}},"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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":77000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":31},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CrewAI","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"Platform Engineering","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-29T07:00:19Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-13T18:12:54Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.\nAs an AI Technical Lead (Lead Software Engineer) at JPMorgan Chase in Consumer & Community Banking Technology, you lead the design and delivery of AI-powered solutions that are secure, stable, and scalable.You translate customer and business problems into prototypes, experiments, and production-ready capabilities, partnering closely with Product, Design, Data, and Risk/Controls. You set technical direction, establish quality bars for AI systems, and enable teams to deliver reliable outcomes through strong engineering practices and inclusive collaboration.\nJob Responsibilities\nArchitect end-to-end AI systems and workflows (LLM-enabled features, retrieval-augmented generation (RAG), agentic patterns, decision support), defining APIs, data flows, and operational readiness.\nLead hypothesis-driven product discovery through rapid prototyping, experimentation, and evaluation to accelerate time-to-learning and inform roadmap decisions.\nDevelop secure, high-quality production code and review code written by others to uphold maintainability, performance, and resiliency standards.\nDefine non-functional requirements for AI services (latency, cost, reliability, availability) and drive design decisions that meet them.\nEstablish AI quality and validation standards, including offline/online metrics, human review, regression testing, and guardrails for safe operation.\nIntegrate AI capabilities into enterprise applications and SDLC workflows, ensuring scalable delivery from prototype to production.\nPartner with Product, Design, Data Science/ML, and governance stakeholders to shape problem statements, success metrics, and acceptance criteria.\nEvaluate models, tools, and vendor solutions by assessing architectural fit, control requirements, and integration within existing platforms and information architecture.\nAutomate remediation of recurring issues and improve operational stability through observability, incident learnings, and proactive reliability engineering.\nDrives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment 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 knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.\nRequired qualifications, capabilities, and skills\n\nFormal training or certification on software engineering concepts and 5+ years applied experience.\nFormal training or certification in software engineering concepts with 10+ years of applied software engineering experience, including 3+ years delivering AI/ML and Generative AI solutions in production environments.\nJava, Cloud Platforms (AWS), Kafka, Micro services\nHands-on experience designing and delivering LLM solutions, including RAG, embeddings, orchestration/tool calling, and prompt/model optimization.\nDemonstrated expertise building AI agents and agentic workflows (single-agent and/or multi-agent patterns) with measurable outcome tracking.\nAdvanced programming capability in Python, Java, or TypeScript, with strong code quality and test discipline.\nPractical experience with AI frameworks such as LangChain, LangGraph, CrewAI, Semantic Kernel, AutoGen, or equivalent patterns/tools.\nProven ability to define evaluation frameworks, guardrails, and validation approaches that address correctness, safety, privacy, and resiliency.\n3+ years building and operating cloud-native production services on AWS and/or Azure (GCP experience accepted where applicable).\nExperience with MLOps/LLMOps practices, including model deployment, monitoring, observability, and lifecycle management.\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\nPreferred Qualifications\nExperience with vector databases, embeddings, and large-scale knowledge retrieval architectures, including RAG design patterns and performance optimization.\nStrong background in microservices and cloud-native architecture, including Docker, Kubernetes, and production-grade platform engineering practices.\nProven use of AI-assisted SDLC practices (e.g., spec-driven development, AI-assisted code review/refactoring, test acceleration) with clear human validation and quality controls.\nKnowledge of cybersecurity controls, data sensitivity handling, and AI governance, plus experience leading enterprise modernization and influencing outcomes through technical mentoring and stakeholder management; familiarity with data engineering technologies such as Spark, Kafka, Snowflake, and/or Databricks is a plus","description_format":"text","description_chars":5491,"description_truncated":false,"requirements":{"experience_years_min":10,"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":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Asset Management & Funds","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-29T08:48:42Z"}],"visa":[],"liveness":{"score":36,"band":"fade","label":"Fading","p_open":1,"p_active":0.663,"p_room":0.55,"age_days":13,"expected_fill_days":10,"reasons":["conf:2","velocity","win:tail","comp:brand"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/jpmorganchase-lead-software-engineer-java-cloud-platforms-aws-kafkagenerative-ai","json_url":"https://alion.io/job/jpmorganchase-lead-software-engineer-java-cloud-platforms-aws-kafkagenerative-ai.json","meta":{"generated_at":"2026-10-13T19:27:41Z","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":29719,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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-lead-software-engineer-java-cloud-platforms-aws-kafkagenerative-ai"},{"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-lead-software-engineer-java-cloud-platforms-aws-kafkagenerative-ai"},{"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-lead-software-engineer-java-cloud-platforms-aws-kafkagenerative-ai"},{"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-lead-software-engineer-java-cloud-platforms-aws-kafkagenerative-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fjpmorganchase-lead-software-engineer-java-cloud-platforms-aws-kafkagenerative-ai"}]}