Full-Time
Generative AI Lead
JP Morgan Chase
10,001+ employees
Global financial services with diversified offerings
Compensation Overview
$164.3k - $260k/yr
New York, NY, USA
In Person
On-site role based in New York, NY.
 AI & Machine Learning (2) |
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- PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics, or equivalent practical experience
- 7+ years of experience in machine learning engineering and/or applied software engineering delivering production systems
- 3+ years of technical leadership experience, including leading delivery for complex cross-functional initiatives
- Demonstrated experience owning enterprise machine learning services, including reliability, incident management, and service-level outcomes
- Strong fundamentals in statistics, optimization, and machine learning theory with applied expertise in natural language processing and/or computer vision
- Hands-on experience implementing distributed, multi-threaded, scalable systems (for example Ray, Horovod, or DeepSpeed)
- Proven ability to design and scale service-oriented architectures and application programming interfaces with high availability and performance requirements
- Experience defining success metrics and writing clear objectives and key results aligned to business expectations
- Strong judgment to align technical decisions with governance, risk, and control requirements for responsible artificial intelligence
- Excellent communication and stakeholder management skills, with ability to influence across senior technical and business audiences
- Lead the design and delivery of production generative artificial intelligence products and reusable backend application programming interfaces for firmwide adoption
- Architect scalable systems that combine large enterprise datasets with large language and multimodal models
- Set technical direction for model-enabled services, including quality, latency, throughput, and cost targets
- Partner with cloud engineering and site reliability engineering teams to deliver resilient architectures, observability, and operational readiness
- Drive translation of research concepts into production-ready capabilities through evaluation, iteration, and hardening
- Establish engineering standards for reliability, security, and responsible artificial intelligence controls across the product lifecycle
- Own delivery planning and execution, including risks, dependencies, and stakeholder communication
- Define and manage objectives and key results aligned to business outcomes, adoption, and return on investment
- Mentor and develop engineers through coaching, technical reviews, and role modeling best practices
- Troubleshoot critical production issues, lead root-cause analysis, and implement long-term preventative improvements
- Experience designing and implementing machine learning pipelines using directed acyclic graph frameworks (for example Kubeflow, DVC, or Ray)
- Experience building batch and streaming microservices exposed via gRPC and/or GraphQL
- Demonstrable experience with parameter-efficient fine-tuning, quantization, and quantization-aware fine-tuning for large language models
- Experience with multimodal large language model use cases (text plus image, speech, or video)
- Experience with advanced prompting and reasoning approaches such as chain-of-thought, tree-of-thought, or graph-of-thought
- Experience establishing evaluation frameworks and production monitoring for model quality, safety, and drift
- Experience building reusable platforms that enable other teams to ship model-enabled products faster
A global financial services firm offering investment banking, asset management, private equity, financial services, and consumer banking to individuals and institutions. It works by providing advisory, lending, trading, and financing services through a worldwide network, earning revenue from interest, fees, and trading commissions, and using its data and the JPMorgan Chase Institute to analyze economies. It stands apart from peers due to its size, full-range services across consumer and corporate markets, extensive market access, and in-house data-driven insights. Its goal is to deliver comprehensive financial products with integrity and growth while supporting clients and communities through data-backed analysis and targeted programs.
Company Size
10,001+
Company Stage
IPO
Headquarters
New York City, New York
Founded
1959
Simplify's Take
What believers are saying
- Germany Chase launch expands deposits, cards, and investments across continental Europe.
- 2026 U.S. branch expansion targets 500 openings, 1,700 upgrades, and 3,500 hires.
- AI automation across marketing, fraud, and documents should lift productivity and margins.
What critics are saying
- Germany rollout delays let BBVA and local banks capture early retail deposits.
- UK and Germany expansion burns capital before deposits scale, compressing returns.
- Rising bank taxes or regulation can strand London headquarters investment and slow EMEA growth.
What makes JP Morgan Chase unique
- Founded in 1799, JPMorgan Chase spans 1,200 predecessor institutions worldwide.
- It pairs $3.9 trillion in assets with $14 billion annual technology spending.
- Chase combines consumer banking, investment banking, and payments across more than 100 markets.
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People at JP Morgan Chase who can refer or advise you
Benefits
Health Insurance
Flexible Work Hours
Paid Sick Leave
Paid Holidays
Company News
JPMorgan Chase originated the new debt and services the long-term facility
Pattern Group, an e-commerce expansion services company co-founded by David Light and Melanie Alder, raised $1 million in startup funding in 2017. The amount was considered insignificant for a bank like JPMorgan, which held $2.5 trillion in assets at the time. JPMorgan's early support proved successful as Pattern's annual revenue surged from $100 million to $2.5 billion last year. The bank served as sole lender for Pattern's $225 million Series B in October 2021 and $150 million revolving credit facility. JPMorgan, alongside Goldman Sachs, co-led Pattern's September IPO, raising $300 million and valuing the company at approximately $2.5 billion. Pattern's shares have risen 27% since listing, with projected revenue of $3.3 billion this year.
Project Prometheus, an AI laboratory co-founded by Jeff Bezos, has closed a funding round of €8.7 billion at a €33 billion valuation. Investors include JPMorgan and BlackRock. Bezos returns to an operational role alongside co-CEO Vikram Bajaj, a quantum physicist. The funding round was expanded from an initial €5.4 billion due to high demand. The company is headquartered in San Francisco with offices in London and Zürich. Unlike language-focused AI labs, Prometheus develops AI systems that understand physical laws for industrial applications, including materials research, fluid simulation and robotic manipulation. The company plans to establish a holding structure to acquire industrial companies that could benefit from its AI technology, following a Berkshire Hathaway-style model. The Zürich office positions Prometheus as a competitor for talent in the DACH region's engineering sector.
Pakistan signals return to global capital markets after four years. MG News | April 16, 2026 at 09:33 AM GMT+05:00 April 16, 2026 (MLN): Pakistan signaled its intention to return to international capital markets after a gap of around four years, with plans to issue rupee-linked, dollar-denominated instruments under its Global Medium-Term Note (GMTN) programme. The move comes as part of broader efforts to strengthen external financing, alongside preparations for the country's first Panda Bond issuance supported by agreements with multilateral lenders, according to a press release issued. Federal Minister for Finance and Revenue, Senator Muhammad Aurangzeb, shared these developments during a meeting with senior representatives of JP Morgan Chase on the sidelines of the World Bank-IMF Spring Meetings in Washington, D.C. He also briefed the delegation on counter-indemnity agreements signed with the Asian Development Bank (ADB) and the Asian Infrastructure Investment Bank (AIIB), expressed appreciation for financial support from the Kingdom of Saudi Arabia, and assured that the financing proposals and market options discussed would be carefully reviewed. In a separate engagement on the sidelines of the meetings, finance minister Aurangzeb held discussions with senior leadership of Franklin Templeton, where he said Pakistan would soon initiate requests for proposals (RFPs) to appoint lead managers for potential issuances under the GMTN programme. He emphasized that any return to global markets would be "selective" in pricing and timing, reflecting sensitivity to global interest rate trends and investor sentiment. The finance minister described the planned market re-entry as a potential turning point in Pakistan's external financing strategy, aimed at rebuilding investor confidence after a prolonged period of economic strain and reliance on bilateral and multilateral support. A successful issuance, he noted, could help diversify funding sources and signal improving macroeconomic stability. He also outlined progress on a broad privatization agenda, stating that nearly 30 state-owned enterprises have been transferred to the Privatization Commission. The government is advancing plans to outsource major airports, including those in Islamabad, Karachi, and Sialkot, and is exploring the sale of electricity distribution companies to improve efficiency and reduce fiscal pressures. Highlighting a shift in policy on digital assets, the minister confirmed the establishment of the Pakistan Virtual Assets Regulatory Authority (PVARA) and the issuance of No Objection Certificates to global platforms such as Binance. He added that the State Bank of Pakistan has withdrawn its 2018 restrictions on the use of banking channels for cryptocurrency transactions, indicating a more accommodative regulatory approach. The finance minister also expressed interest in collaborating with Franklin Templeton on capacity-building initiatives, including structured training programmes for officials from the Ministry of Finance and the State Bank of Pakistan, as part of efforts to strengthen institutional expertise in managing modern financial markets.
JPMorgan has reported strong first-quarter results, with earnings of $5.94 per share beating expectations and revenue reaching $50.5 billion, up nearly 10% year-on-year. The bank demonstrated balanced growth across its operations. Net interest income rose 9% to $25.5 billion, whilst noninterest revenue, including fees and trading, increased 11% to $25.1 billion. Credit quality remains solid, with provisions for losses at $2.5 billion, lower than the previous year, and charge-offs remaining flat. The bank recorded a small reserve build, though nothing indicating significant stress. Shares rose in premarket trading following the announcement.