Job Responsibilities
- Enhance multiple products across the product line by identifying, prioritizing, and delivering AI-driven features that improve user experience, efficiency, and operational resilience
- Design, build, and deploy production-grade AI applications including LLM-powered workflows, Retrieval-Augmented Generation (RAG) solutions, and agentic systems
- Build agentic workflows with enterprise-ready controls (identity, authorization, guardrails, tracing, evaluation, and auditability)
- Develop automation solutions that reduce manual effort and eliminate recurring operational issues, including self-healing patterns and intelligent triage
- Architect AI systems with production concerns in mind: latency, scalability, cost management, model selection, observability, reliability, and failure modes (including hallucinations and tool errors)
- Establish and apply AI engineering standards across the product line (prompting patterns, RAG design standards, evaluation practices, logging/telemetry, and release readiness criteria)
- Drive AI architecture reviews and contribute to reference architectures for model hosting, orchestration, data access, and secure tool execution
- Identify and mitigate risks across the AI lifecycle including data privacy, security, bias, model misuse, prompt injection, and third-party/vendor risk, and ensure appropriate documentation and controls
- Partner with product, design, risk, legal/compliance, and engineering stakeholders to align on outcomes, constraints, and measurable success metrics
- Lead technical evaluations with vendors and platform providers; assess capabilities, integration fit, security posture, and total cost of ownership
- Research emerging AI capabilities (models, frameworks, tools) and translate findings into practical guidance, prototypes, and adoption recommendations
- Educate and enable teams through documentation, workshops, design reviews, and coaching to raise AI fluency and delivery consistency across the organization
- Execute creative software solutions, technical troubleshooting, and hands-on development; write secure, high-quality production code and review/debug code written by others
- Influence stakeholders and drive alignment across teams without direct authority, owning outcomes end-to-end
Required Qualifications, Capabilities, and Skills
- Formal training or certification in software engineering concepts and 5+ years of applied engineering experience
- Hands-on experience delivering AI-powered features in production or near-production environments (LLMs, RAG, agents, workflow automation, or decision support systems)
- Strong proficiency in Python (and ability to build maintainable services, libraries, and pipelines)
- Experience building APIs and services using Django, FastAPI, or similar frameworks
- Experience building modern UIs using React or similar frameworks (or strong ability to partner closely with frontend teams)
- Strong system design skills with an emphasis on secure distributed systems, reliability, and operational excellence
- Practical understanding of Responsible AI / model risk concepts (evaluation, guardrails, privacy, bias, explainability where applicable, and safe deployment practices)
- Experience implementing observability (logging, metrics, tracing) and AI-specific monitoring (quality, drift signals, latency, cost, error rates)
- Experience with cloud platforms (AWS preferred) and containerized deployments
- Strong problem-solving skills with a structured, evidence-based approach; comfortable operating in ambiguity and delivering iteratively
Preferred Qualifications, Capabilities, and Skills
- Experience with AI orchestration and agent frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar)
- Experience with vector search and retrieval patterns including pgvector, Pinecone, Weaviate, OpenSearch/Elastic, or similar
- Experience designing and operating RAG systems (chunking strategies, retrieval evaluation, citation/attribution patterns, caching, fallback behaviors)
- Familiarity with AI governance and standards (model documentation, risk assessments, control frameworks, secure-by-design patterns) and applying them to real delivery timelines
- Strong Infrastructure-as-Code experience (e.g., Terraform) and CI/CD practice, data engineering ecosystems (e.g., Databricks, streaming, data quality controls, lineage concepts)
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Formal training or certification in software engineering concepts
- 5+ years of applied engineering experience
- Hands-on experience delivering AI-powered features in production or near-production environments
- Strong proficiency in Python
- Experience building APIs and services using Django, FastAPI, or similar frameworks
- Experience building modern UIs using React or similar frameworks, or strong ability to partner with frontend teams
- Strong system design skills focused on secure distributed systems, reliability, and operational excellence
- Practical understanding of Responsible AI and model risk concepts
- Experience implementing observability and AI-specific monitoring
- Experience with cloud platforms, preferably AWS
- Strong problem-solving skills and ability to operate in ambiguity
- Experience with AI orchestration and agent frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI
- Experience with vector search and retrieval technologies such as pgvector, Pinecone, Weaviate, OpenSearch, or Elastic
- Experience designing and operating RAG systems
- Familiarity with AI governance, standards, model documentation, risk assessments, and control frameworks
- Strong Infrastructure-as-Code experience, such as Terraform, and CI/CD practice
- Experience with data engineering ecosystems such as Databricks, streaming, data quality controls, and lineage concepts
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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