Currently tracking 333 active AI roles, up 109% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $196k–$285k (avg $242k).
Banking · Banking
| Title | Stage | AI score |
|---|---|---|
| Applied AIML, Sr Associate Senior Associate role focused on applying AI/ML to complex problems within a financial services firm. Responsibilities include designing, developing, and productionizing end-to-end AI/ML solutions, with a focus on NLP and various machine learning techniques. The role involves stakeholder engagement, research, documentation, and coaching. | Agent | 7 |
| AI/LLM Product Manager - Senior Associate Product Manager role focused on delivering enterprise AI/LLM-powered search capabilities within a financial services context. The role involves supporting product strategy, defining features, and overseeing the integration of technologies like RAG, Agents, SFT, and RLHF, while ensuring scalability, security, and regulatory compliance. | AgentPost-train |
| 7 |
| Senior Lead Software Engineer - Python / Java Senior Lead Software Engineer with Python/Java expertise in a fintech environment, focusing on cloud-based systems and AI-driven solutions. The role involves developing production code, implementing RAG-based semantic search and LLM inference workflows, and serving as a subject matter expert in cloud deployment and AI technologies. | AgentServe | 7 |
| Director of Security Engineering Director of Security Engineering leading a global team to build and operate security platforms, including an AI-powered security copilot for risk identification and remediation, and firm-wide endpoint/server anti-virus capabilities. Focus on embedding security by design and delivering automated security outcomes. | Agent | 7 |
| Lead Software Engineer - Full Stack AI/ML Lead Software Engineer focused on building AI-enabled features for Data Center Services, including anomaly detection, capacity planning, NLP, and knowledge retrieval. Requires strong full-stack experience with Angular and NodeJS, and understanding of AI/ML concepts. | AgentData | 7 |
| Data Scientist Lead Data Scientist Lead at JPMorgan Chase focusing on designing and implementing ML solutions using LLMs for ESG and Stewardship functions. The role involves content extraction, search, and principal-based reasoning, with a strong emphasis on building evaluation packages and production-quality code. Requires advanced Python, NLP, and LLM expertise, with preferred knowledge in financial markets and ESG. | Agent | 7 |
| Vice President-AI Cognitive Engineer Lead This role focuses on engineering multimodal human-AI systems that optimize decision-making, information flows, and human-agent interactions by applying principles of cognitive engineering and human factors. The engineer will conduct cognitive task analyses, translate insights into requirements for AI agents and decision support tools, model human cognitive states, and design/evaluate cross-modal systems, with a focus on trust calibration and cognitive fit. Experience with evaluating multimodal AI/ML systems is required. | AgentEval Gate | 7 |
| AI Products - Vice President, APAC Chief Data & Analytics Office Vice President for AI Products in APAC CDAO at JPMorgan Chase, responsible for supporting the development, deployment, and scaling of AI-powered products, including Gen AI and agentic AI offerings. The role involves collaborating with cross-functional teams, contributing to product roadmaps, and ensuring solutions are secure, compliant, and aligned with global and regional objectives, with a focus on prompt engineering, agentic workflow design, and meeting data sovereignty, localization, and compliance requirements. | AgentShip | 7 |
| Lead Software Engineer - GenAI, AWS, Java/Python Lead Software Engineer focused on Generative AI and Agentic frameworks within JPMorgan Chase's Asset and Wealth Management division. The role involves developing and implementing GenAI solutions, architecting complex AI models, utilizing Java/Python, React/Angular, and AWS, and working with LLM models and agentic tools. Emphasis on system design, testing, operational stability, and agile methodologies for AI projects. | Agent | 7 |
| AI Strategy and Commercialization – Vice President, APAC Chief & Data Analytics Office Vice President, APAC AI Strategy & Enablement role focused on developing and executing the region's AI strategy, identifying and commercializing high-value AI use cases, and ensuring responsible and compliant deployment of AI solutions within a financial services environment. The role involves partnering with business stakeholders, contributing to AI roadmaps, and translating business requirements into technical solutions, with a strong emphasis on data governance and regulatory adherence. | Agent | 7 |
| User Experience Design, Vice President - AI for CIB Operations This role focuses on designing and developing Conversational AI chat tools and natural language interfaces for Operations Teams within JPMorgan Chase's CIB Operations. The Vice President Experience Design Lead will shape user experiences, lead strategic initiatives, and collaborate with AI/ML engineers and product managers to integrate user-centered design into AI-driven solutions, aiming to enhance efficiency and employee experience. | Agent | 7 |
| Securitized Products Group - Business AI Strategist - Vice President This role focuses on designing, developing, and implementing AI-based tools, models, and agents to streamline workflows and improve decision-making within the Securitized Products Group at JPMorgan Chase. The strategist will collaborate with various internal partners, lead AI solution adoption, and ensure compliance with regulatory requirements. | Agent | 7 |
| Software Engineer III - AI - Chase UK Software Engineer III - AI - Chase UK role focused on building an advanced Agent Assist platform for contact centre agents. Responsibilities include designing, implementing, and deploying ML models, automating workflows, optimizing performance, and integrating AI solutions with enterprise platforms like Salesforce and AWS. The role involves a 30% innovation focus on researching and prototyping new features. | AgentPost-train | 7 |