AI Solutions Engineer-Wealth Management Marketing

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.

Required qualifications, capabilities, and skills


* 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...