Architect, build, and scale LLM agents for finance workflows using advanced techniques such as LangGraph, retrieval augmented generation (RAG), multi-agent orchestration, tool use, and multi-step ...
Architect, build, and scale LLM agents for finance workflows using advanced techniques such as LangGraph, retrieval augmented generation (RAG), multi-agent orchestration, tool use, and multi-step ...
Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. * Design and ...
Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. * Design and ...
Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. * Design and ...
Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. * Design and ...
Distinguished AI/ML Engineer
Dayton, OH · On-site +1
Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. * Design and ...
Distinguished AI/ML Engineer
Dayton, OH · On-site +1
Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. * Design and ...
Prompt engineering, API-based model usage, Retrieval-augmented generation (RAG) basics. * Demonstrated Experience working with APIs, databases, and modern backend systems. * Familiarity with agentic ...
Prompt engineering, API-based model usage, Retrieval-augmented generation (RAG) basics. * Demonstrated Experience working with APIs, databases, and modern backend systems. * Familiarity with agentic ...
Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. * Design and ...
Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. * Design and ...
Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. * Design and ...
Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. * Design and ...
Senior Staff AI Data Engineer - Hybrid
Columbus, OH · Hybrid
$102K - $139K/yr
Implement and optimize Retrieval-Augmented Generation (RAG) architectures and integrate them with enterprise data platforms * Design, build, and optimize scalable batch and streaming data pipelines ...
Senior Staff AI Data Engineer - Hybrid
Columbus, OH · Hybrid
$102K - $139K/yr
Implement and optimize Retrieval-Augmented Generation (RAG) architectures and integrate them with enterprise data platforms * Design, build, and optimize scalable batch and streaming data pipelines ...
Develop and tune Retrieval-Augmented Generation (RAG) pipelines over unstructured content such as product specs, Safety Data Sheets, standard operating procedures, emails, and meeting transcripts ...
Develop and tune Retrieval-Augmented Generation (RAG) pipelines over unstructured content such as product specs, Safety Data Sheets, standard operating procedures, emails, and meeting transcripts ...
AI Applications Developer
OH · On-site +1
Develop and tune Retrieval-Augmented Generation (RAG) pipelines over unstructured content such as product specs, Safety Data Sheets, standard operating procedures, emails, and meeting transcripts ...
AI Applications Developer
OH · On-site +1
Develop and tune Retrieval-Augmented Generation (RAG) pipelines over unstructured content such as product specs, Safety Data Sheets, standard operating procedures, emails, and meeting transcripts ...
Architect and implement Generative AI and Agentic AI solutions, including LLM integration, prompt engineering, AI orchestration pipelines, retrieval- augmented generation (RAG), and autonomous agent ...
Architect and implement Generative AI and Agentic AI solutions, including LLM integration, prompt engineering, AI orchestration pipelines, retrieval- augmented generation (RAG), and autonomous agent ...
AI Developer (HealthCare Experience)
Dayton, OH · On-site +1
$94K - $164K/yr
... Retrieval-Augmented Generation (RAG), Infrastructure as Code (IaC), and Streamlit * Rapidly prototype proof-of-concept solutions to assess emerging technologies and innovative ideas * Foster ...
AI Developer (HealthCare Experience)
Dayton, OH · On-site +1
$94K - $164K/yr
... Retrieval-Augmented Generation (RAG), Infrastructure as Code (IaC), and Streamlit * Rapidly prototype proof-of-concept solutions to assess emerging technologies and innovative ideas * Foster ...
Senior AI Engineer
Cleveland, OH · On-site
$101K - $139K/yr
Design advanced Retrieval-Augmented Generation (RAG) systems, selecting and managing vector databases and optimizing embedding strategies for accuracy and speed. * Establish comprehensive model ...
Senior AI Engineer
Cleveland, OH · On-site
$101K - $139K/yr
Design advanced Retrieval-Augmented Generation (RAG) systems, selecting and managing vector databases and optimizing embedding strategies for accuracy and speed. * Establish comprehensive model ...
Senior AI Engineer
Cleveland, OH · On-site +1
$101K - $139K/yr
Design advanced Retrieval-Augmented Generation (RAG) systems, selecting and managing vector databases and optimizing embedding strategies for accuracy and speed. * Establish comprehensive model ...
Quick apply
Senior AI Engineer
Cleveland, OH · On-site +1
$101K - $139K/yr
Design advanced Retrieval-Augmented Generation (RAG) systems, selecting and managing vector databases and optimizing embedding strategies for accuracy and speed. * Establish comprehensive model ...
Cloud Solutions Engineer
Columbus, OH · On-site
$52 - $69.50/hr
Implement Retrieval-Augmented Generation (RAG) patterns using enterprise data sources, APIs, and document repositories. * Integrate agents with enterprise systems and APIs (ServiceNow, internal ...
Cloud Solutions Engineer
Columbus, OH · On-site
$52 - $69.50/hr
Implement Retrieval-Augmented Generation (RAG) patterns using enterprise data sources, APIs, and document repositories. * Integrate agents with enterprise systems and APIs (ServiceNow, internal ...
Be Seen First
Senior AI Engineer
Cleveland, OH · On-site
$100K - $155K/yr
Design and deploy custom Retrieval-Augmented Generation (RAG) pipelines and Large Language Model (LLM) agents to ingest, parse, and analyze massive unstructured datasets--including architectural ...
New
Quick apply
Be Seen First
Senior AI Engineer
Cleveland, OH · On-site
$100K - $155K/yr
Design and deploy custom Retrieval-Augmented Generation (RAG) pipelines and Large Language Model (LLM) agents to ingest, parse, and analyze massive unstructured datasets--including architectural ...
New
Retrieval-Augmented Generation (RAG) architectures * Prompt engineering techniques * Agentic AI concepts and workflows * Build intelligent pipelines using frameworks such as LangChain, LangGraph, and ...
Retrieval-Augmented Generation (RAG) architectures * Prompt engineering techniques * Agentic AI concepts and workflows * Build intelligent pipelines using frameworks such as LangChain, LangGraph, and ...
Enterprise Architect - Agentic AI
Columbus, OH · On-site
$66.75 - $86/hr
... Retrieval-Augmented Generation (RAG) • Vector databases such as Neo4j and TigerGraph • A2A and MCP-based integrations • Define AI orchestration, observability, governance, and secure AI ...
Enterprise Architect - Agentic AI
Columbus, OH · On-site
$66.75 - $86/hr
... Retrieval-Augmented Generation (RAG) • Vector databases such as Neo4j and TigerGraph • A2A and MCP-based integrations • Define AI orchestration, observability, governance, and secure AI ...
Senior Legal Counsel
Columbus, OH · On-site
$134K - $183K/yr
... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...
Senior Legal Counsel
Columbus, OH · On-site
$134K - $183K/yr
... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...
Senior Legal Counsel
$134K - $183K/yr
... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...
Senior Legal Counsel
$134K - $183K/yr
... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...
Retrieval Augmented Generation Rag information
Full-time
Medical, Retirement
Posted 22 days ago
Job description
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.
JOB DESCRIPTION
JPMorgan Chase’s Asset & Wealth Management Finance organization is advancing the frontier of agentic AI, deploying digital workers that transform forecasting, analytics, and decision support. As Vice President, you will lead the design, deployment, and scaling of large language model (LLM) agents and AI-driven solutions, driving innovation and business impact across finance workflows. You will shape strategy, architect robust systems, and mentor teams to deliver trusted, actionable insights for complex financial questions.
Job responsibilities
- Define and execute the roadmap for agentic AI and digital worker solutions in Finance, aligning with business priorities and emerging technologies.
- Identify and prioritize high-value use cases, translating ambiguous business challenges into measurable outcomes
- Lead cross-functional teams, collaborating with Finance, Product, Engineering, and Operations to deliver scalable, production-grade AI solutions.
- Architect, build, and scale LLM agents for finance workflows using advanced techniques such as LangGraph, retrieval augmented generation (RAG), multi-agent orchestration, tool use, and multi-step reasoning
- Oversee the development of robust data and inference pipelines in Python and SQL; integrate agents with APIs, microservices, BI/reporting tools, and cloud platforms (AWS, Azure, GCP)
- Leverage vector databases, embeddings, and distributed compute frameworks (e.g., Databricks, Snowflake, PySpark) for efficient retrieval and performance optimization.
- Drive research and development initiatives, exploring Gen AI, Agentic AI, and autonomous workflow patterns.
- Mentor and upskill teams; deliver enablement materials, documentation, and best practices for AI adoption.
- Foster a culture of innovation, experimentation, and continuous improvement.
- Translate model outputs into user-friendly insights and analytics for end users, enabling data-driven decision making.
- Communicate complex technical concepts to senior stakeholders; deliver compelling data visualizations and narratives.
Required qualifications, capabilities and skills
- 8+ years in data/ML roles, including 4+ years building and operating production ML applications; hands‑on experience with LLMs.
- Strong Python and SQL;
- Practical knowledge of RAG, prompt engineering, fine‑tuning, function/tool calling, and vector stores.
- Experience with cloud platforms (e.g., AWS, Azure, or GCP) and modern data stacks (e.g., Databricks or Snowflake).
- Familiarity with LLM frameworks and orchestration (e.g., LangChain or LlamaIndex) and REST/GraphQL API design.
- Proficiency in analytics and applied statistics; ability to design experiments and evaluate business impact.
- Excellent communication and stakeholder management; comfort working across Finance, Technology, and Operations.
Preferred qualifications, capabilities and skills
- Experience building multi‑agent systems, autonomous workflows, or task planners.
- Knowledge of model safety, bias, and privacy techniques; experience with model risk management and governance.
- Exposure to observability tools (logging, tracing, telemetry) and A/B testing.
- Background integrating agents with BI/reporting and workflow tools; familiarity with Tableau or similar is a plus.
- Experience with GPUs/accelerators, containerization, and infrastructure‑as‑code.
- Experience with PySpark or distributed compute.
What success looks like
- 90 days: deliver a pilot finance agent with RAG and evaluation metrics, integrated with key data sources and APIs.
- 6 months: scale agents across multiple workflows, establish guardrails and monitoring, and demonstrate clear improvements in cycle time, accuracy, or user satisfaction.
ABOUT US
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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
ABOUT THE TEAM
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
About J.P. Morgan
Sourced by ZipRecruiter
Industry
Banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
New York, NY, US