Take AI from a promising idea to a tool that a marketing team uses every day. As an AI Solutions Engineer, you’ll work directly with content and creative teams to tackle repetitive tasks, connect disconnected workflows, and build solutions on the firm’s approved enterprise platforms. You’ll test what works with the people who use these solutions and refine them to meet the demands of real-world production.
As an AI Solutions Engineer on the J.P. Morgan Wealth Management Marketing team, you’ll build agents, assistants, automations, and integrations using approved enterprise AI platforms, low-code tools, APIs, and Python scripting. You’ll work directly with the teams using these solutions, evaluate their effectiveness, and partner with technology and product teams to move proven prototypes toward production.
Job responsibilities- Build AI-powered agents, assistants, automations, and integrations on the firm’s approved enterprise AI platforms. Use low-code agent builders and native connectors, and add custom scripting when needed to extend platform capabilities.
- Partner with marketing, content, creative, and events teams to identify high-value use cases, quickly turn them into working prototypes, and refine the ones that prove useful.
- Advocate for solutions with technology and product teams, and partner with them to take solutions from prototype to production—from engineering intake and prioritization through release.
- Connect AI solutions to the marketing and creative tool stack—including content and asset management, work management, review and approval, and collaboration platforms—through APIs and native connectors.
- Design and run evaluations by building test sets and measuring output quality and reliability. Use the results to tune knowledge sources, guardrails, model settings, and workflow logic.
- Document what you build and maintain solutions as platforms and models are updated, including managing access and knowledge sources.
- Enable users of the AI toolset through training sessions, documentation, office hours, and hands-on support.
- Work within the firm’s AI governance, model risk, data privacy, and information security requirements, and prepare documentation for required reviews.
- 3+ years of experience building technical solutions for business teams, such as automations, integrations, internal tools, or AI-powered workflows
- Bachelor’s degree in a related field
- Hands-on experience building with large language models, including retrieval over knowledge sources, agents or assistants, tool and API integrations, and output-quality evaluation
- Working proficiency in Python for scripting, data handling, API calls, and light integration work. A software engineering background is not required, but you should be able to follow documentation, read code, and debug it.
- Experience with low-code and no-code platforms, including automation and workflow tools and agent builders, and a clear understanding of where these tools reach their limits and code is needed
- Experience partnering with technology and product teams to move solutions into production, including making the business case and navigating engineering and release processes
- Ability to turn a loosely defined business problem into a scoped, buildable solution and explain technical trade-offs to nontechnical partners
- Strong communication and facilitation skills, with experience training or supporting users on new tools
- Comfort working in a controlled, regulated environment with formal review processes
- 5+ years of experience, including delivering AI or automation solutions within a large enterprise
- Experience taking AI solutions through model risk management, data governance, or similar review and approval processes
- Familiarity with marketing and creative agency tools, such as content management, digital asset management, work management, marketing automation, and design platforms
- JavaScript or TypeScript experience for custom actions in low-code platforms and plugin or web-based tools
- SQL and relational data skills, and experience importing raw data from platforms such as Snowflake or Databricks into custom dashboards for nontechnical partners
- Experience with enterprise collaboration and workflow automation platforms, and familiarity with agent development frameworks such as Google’s Agent Development Kit
- Background in marketing operations, content operations, creative production, or agency workflows
About Us
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
- 3+ years of experience building technical solutions for business teams, including automations, integrations, internal tools, or AI-powered workflows
- Bachelor’s degree in a related field
- Hands-on experience with large language models, knowledge retrieval, agents or assistants, tool and API integrations, and output-quality evaluation
- Working proficiency in Python for scripting, data handling, API calls, and light integration work
- Experience with low-code and no-code platforms, automation tools, workflow tools, and agent builders
- Experience partnering with technology and product teams to move solutions into production
- Ability to scope loosely defined business problems into buildable solutions and explain technical trade-offs to nontechnical partners
- Strong communication and facilitation skills, including training or supporting users on new tools
- Comfort working in a controlled, regulated environment with formal review processes
- 5+ years of experience, including delivering AI or automation solutions within a large enterprise
- Experience with model risk management, data governance, or similar review and approval processes
- Familiarity with marketing and creative agency tools
- JavaScript or TypeScript experience
- SQL and relational data skills, including Snowflake or Databricks experience
- Experience with enterprise collaboration and workflow automation platforms
- Familiarity with agent development frameworks such as Google’s Agent Development Kit
- Background in marketing operations, content operations, creative production, or agency workflows
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 — Medical coverage and wellness resources, including mental-health support and wellness incentives, are described as comprehensive and accessible; feedback suggests income-based contributions help keep care affordable.
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Retirement Support — A dollar-for-dollar 401(k) match up to 5% of eligible pay, plus additional employer contributions in some cases, is highlighted as a strong pillar of financial security. Feedback suggests this structure is a notable advantage of the total rewards package.
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Parental & Family Support — Up to 16 weeks of paid parental leave for all parents, along with fertility, adoption, surrogacy, childcare, and family-support resources, signals a family-forward approach. Feedback suggests these programs are a standout feature of the package.
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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