AI Lead Solutions Engineer -Forward Deployed

partners (e.g. across Investment, Client experience, and surfacing IPB-first use cases) to discover and frame high-value AI/ML opportunitiesRapidly prototypes and builds agentic AI and LLM-powered solutions full-stack and end-to-end (backend, data, and lightweight interfaces as needed) to demonstrate value quickly, then hardens and scales them with the core AIML teamOwns solutions end-to-end during the engagement: problem framing, build, demo, iteration, and hand-off to productionActs as the primary technical translator between business/product stakeholders and the engineering team, shaping opportunities into funded, well-scoped workstreamsBalances speed of iteration with the team’s engineering, Responsible AI, and control standards (guardrails, evaluation, observability)Feeds reusable patterns, skills, and learnings back into the team’s platform so each engagement compoundsContributes to the team’s GenAI education and knowledge-sharing, and mentors junior engineers on solutioning and

deliveryChampions the firm’s culture of diversity, Opportunity, inclusion, and respectRequired qualifications, capabilities, and skillsFormal training or certification on AI/ML engineering concepts and applied experienceAdvanced Python and full-stack / generalist engineering ability - backend, data, and lightweight front-end - to ship a working end-to-end solution, with modern software engineering practices (testing, code review, version control)Fluent with AI coding tools (e.g., Claude Code, GitHub Copilot) as a core part of day-to-day development, with the judgement to know when to lean on them and when not toPractical experience with Large Language Models, including prompt engineering, RAG, and/or agentic frameworksHands-on experience taking solutions from prototype to production, including CI/CD, containerisation, and cloud-native deploymentProven ability to work directly with non-technical stakeholders - eliciting needs, framing problems, demoing, influencing, and building trust across technical and business audiencesComfort with ambiguity and the ability to switch context quickly across multiple problem domains, stakeholders, and engagements; a bias to ship and learn while maintaining engineering qualityProduct mindset: prioritises by user value and outcomes, with the judgement to decide what to build, what to cut, and what “good enough to prove value” looks likeCommercial acumen: spots where AI creates measurable business value, frames success metrics, and builds the case to fund and scale what worksMaster’s degree in Computer Science, Data Science, Engineering, or a related quantitative field (or equivalent applied experience)Preferred qualifications, capabilities, and skillsIndustry-recognised cloud / GenAI certification (e.g., AWS Certified Generative AI Developer - Professional, or similar)Prior forward-deployed, solutions-engineering, consulting, or client-facing engineering experienceOpenness to periodic on-site embedding with business teams and occasional international travel, as engagements benefit from itExperience within financial services, particularly wealth, private banking, or asset managementExperience designing or contributing to AI governance, model validation, or guardrail frameworksFamiliarity with JPM-internal AI/ML infrastructure and governance for internal candidates #J-18808-Ljbffr

We’re looking for a hands-on, business-facing AI engineer who thrives at the intersection of technology and the front line. Join the ranks of top talent at one of the world’s most influential companies.As an AI Solutions Engineer (Forward Deployed) - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will be deployed directly into business contexts to identify where AI can create value, then design, build, and ship the solutions that realise it. You will operate at the front of the team’s engagement model: turning ambiguous, surfacing opportunities into scoped, working agentic AI and machine learning solutions, and partnering with the core AIML team to productionise and scale what proves out.This is a Vice President-level role and an integral part of the IPB Tech AIML team, reporting to the Head of AI, IPB Tech.Job responsibilitiesEmbeds with IPB advisors, business teams, and product