AI Agents Applied Research/Engineering Lead - Vice President (Digital)

Archer; New York (NY); Sur place; USD 190 000 - 300 000; Plein temps

Avantages offerts par ce poste

Health coverage

Retirement plan

Tuition reimbursement

Mental health support

Résumé du poste

Archer is leading an AI Agents Applied Research/Engineering team in collaboration with J.P. Morgan to advance multi-step AI agents for financial tasks.

The role focuses on shaping research directions, building production-grade systems with latency and compliance in mind, and partnering with Product, Engineering, Design, and Risk to bring these systems to market. You will drive end-to-end lifecycle from research to deployment, aiming for auditable, explainable, and safe AI in a highly regulated

Qualifications

• PhD with 1+ years building and deploying AI systems in production
• GenAI experience with LLMs including fine-tuning, prompt engineering, and RAG
• Experience scaling LLM systems with caching, batching, governance, and evaluation
• Strong foundation in ML, deep learning, statistical modeling, and experimental design
• Experience in Information Retrieval (indexing, ranking, retrieval) and/or recommendation systems
• Proficiency in Python and ML frameworks (PyTorch/TensorFlow, Hugging Face, scikit-learn)
• Demonstrated ability to set a technical research agenda and drive it from concept through production deployment
• Experience presenting research findings and technical strategy to senior leadership and non-technical stakeholders

Responsabilités

• Lead research and deployment of agentic AI systems with multi-step workflows, tool calling, and multi-agent orchestration
• Fine-tune and optimize LLMs using PEFT, distillation, and quantization for production constraints
• Apply reinforcement learning and preference optimization to improve personalization and dialogue policies
• Scale LLM systems through caching, batching, prompt governance, and evaluation frameworks
• Implement privacy, safety, and security controls including PCI compliance, jailbreak resistance, and auditability
• Design rigorous experiments with strong baselines and meaningful metrics
• Define and track success metrics for agent performance, including task completion rate, accuracy, latency, and customer satisfaction

Connaissances

PhD/MS experience

GenAI with LLMs

LLM scaling & governance

ML foundations

Information retrieval/RS

Python & ML frameworks

Research agenda & production

Tech storytelling to leadership

Formation

PhD in a relevant field

MS in CS or related field

Outils

PyTorch

TensorFlow

Hugging Face

scikit-learn

Description du poste

Archer is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

Job Description

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. You'll have the opportunity to publish at top-tier venues like NeurIPS, ICML, and ACL—and see that research deployed to a user base of over 80 million customers. As an AI Agents Applied Research/Engineering Lead in our The Digital Team, you will work with the team to shape how millions of customers discover, decide, and act—turning multi-step financial tasks into simple conversations. You'll lead the end-to-end lifecycle of LLM-based agents: defining research directions in areas like multi-step planning, tool use, and safety; building production systems that perform under real-world latency, accuracy, and compliance constraints; and partnering with Product, Engineering, Design, and Risk teams to bring those systems to market. The problems here are genuinely unusual—building AI that must be not just accurate but auditable, explainable, and safe in a highly regulated, high-stakes domain. Transform how millions of customers manage their money, make decisions, and get more from their financial relationships through a human-centered approach that blends cutting-edge AI with clear, trustworthy experiences.

Job Responsibilities

• Lead research and deployment of agentic AI systems with multi-step workflows, tool calling, and multi-agent orchestration.
• Fine-tune and optimize LLMs using parameter-efficient fine-tuning (PEFT), distillation, and quantization to meet production constraints such as latency, memory, and cost.
• Apply reinforcement learning and preference optimization to improve personalization and dialogue policies.
• Scale LLM systems through caching, batching, prompt governance, and evaluation frameworks.
• Implement privacy, safety, and security controls including PCI compliance, jailbreak resistance, and auditability.
• Design rigorous experiments with strong baselines and meaningful metrics.
• Define and track success metrics for agent performance, including task completion rate, accuracy, latency, and customer satisfaction.

Required Qualifications, Capabilities, and Skills

• Ph.D. with 1+ years or M.S. with 3+ years building and deploying AI systems in production
• Applied GenAI experience with LLMs including fine-tuning, prompt engineering, and RAG.
• Experience scaling LLM systems with caching, batching, governance, and evaluation.
• Strong foundation in ML, deep learning, statistical modeling, and experimental design.
• Experience in Information Retrieval (indexing, ranking, retrieval) and/or recommendation systems.
• Proficiency in Python and ML frameworks (PyTorch/TensorFlow, Hugging Face, scikit-learn)
• Demonstrated ability to set a technical research agenda and drive it from concept through production deployment.
• Experience presenting research findings and technical strategy to senior leadership and non-technical stakeholders.

Preferred Qualifications, Capabilities, and Skills

• 5+ years developing conversational AI systems, virtual assistants or LLM-based systems in production.
• Experience with multi-agent orchestration, supervisor agents, and specialized toolkits.
• Expertise in agent governance, red-teaming, adversarial testing, and safety evaluation.
• Experience with reinforcement learning, bandit algorithms, and preference-based optimization (DPO, IPO), with practical exposure to data collection, labeling, and evaluation pipelines.
• MLOps/LLMOps experience with CI/CD, monitoring, versioning, A/B testing, and rollbacks.
• Track record of data-driven product development and experimentation.
• Publications in top-tier AI/ML venues and/or open-source contributions

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.

• 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

Our Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits. You'll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.