Lead Software Engineer-AI Foundation Services
About the job
- Formal training or certification on software engineering concepts and 5+ years of applied experience.
- Strong hands-on coding experience in one or more platform-service languages, such as Python, Java, or Go, with experience delivering production-grade services or application programming interfaces.
- Experience building shared services, reusable components, or platform capabilities consumed by multiple application or engineering teams.
- Experience with infrastructure as code and cloud-native delivery practices, including Terraform, containers, Kubernetes, continuous integration and continuous delivery pipelines, and automated deployment workflows.
- Demonstrated experience leading effective use of approved artificial-intelligence-assisted software development tools and validating their outputs for correctness, performance, and security.
- Strong understanding of responsible artificial intelligence use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations; experience coaching engineers on safe, compliant adoption.
- Hands-on practical experience with system design, application development, automated testing, debugging, and operational stability for production software.
- Experience implementing observability, logging, metrics, alerts, Service Level Objectives, incident response practices, and root-cause analysis for production services.
- Working knowledge of software application development and technical processes, with depth in one or more areas such as cloud platforms, artificial intelligence, machine learning platforms, distributed systems, or infrastructure engineering.
- Ability to break down technical requirements into executable engineering tasks, manage dependencies, and deliver against milestones with product and application teams.
- Strong written and verbal communication skills, with the ability to explain technical decisions, trade-offs, issues, and risks to engineering teams and stakeholders.
- Partner with lines-of-business application teams to implement AI Foundation Services capabilities that unblock generative artificial intelligence, artificial intelligence, and machine learning use cases, supporting delivery from technical design through build, launch, and early operational support.
- Build and enhance reusable platform services, application programming interfaces, software development kits, and libraries that standardize how application teams consume model hosting, inference, and managed artificial intelligence and machine learning services.
- Translate functional and non-functional application requirements into technical designs, engineering tasks, and delivery milestones with support from senior engineers and architects.
- Develop secure, stable, high-quality production code and participate in code reviews, debugging, testing, and defect remediation across AI Foundation Services components.
- Create and maintain reusable engineering assets, including reference implementations, runbooks, test harnesses, baseline configurations, and onboarding guides, to accelerate adoption across teams.
- Drive team adoption of enterprise-authorized artificial-intelligence-assisted engineering practices, establish validation standards for secure coding, peer review, and automated testing, and promote reuse of effective patterns.
- Apply software development life cycle toolchain knowledge, including enterprise-authorized artificial-intelligence-assisted development and automation capabilities, to improve automation outcomes.
- Design and implement scalable software components using appropriate software design patterns, cloud-native practices, and platform engineering standards.
- Collaborate with product, architecture, security, infrastructure, and application development teams to resolve technical dependencies and deliver production-ready capabilities.
- Contribute to technical methods, standards, documentation, and implementation patterns within AI Foundation Services to improve consistency, reliability, and reuse across delivery teams.
- Communicate technical progress, risks, dependencies, and implementation options to engineering managers, product partners, and senior technical stakeholders.
- Experience supporting artificial intelligence, machine learning, or generative artificial intelligence platform capabilities, including model hosting, inference services, model gateways, managed artificial intelligence services, or developer-facing artificial intelligence and machine learning infrastructure.
- Experience with graphics processing unit-enabled platforms or artificial-intelligence workload optimization, including inference latency, throughput, batching, capacity planning, or cost and performance tuning.
- Experience building reusable golden-path assets such as templates, reference implementations, software development kits, automated tests, onboarding guides, and deployment patterns.
- Familiarity with model-serving patterns, rollout strategies, safety controls, authorization, rate limiting, policy enforcement, and evaluation hooks.
About the company
JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.
Company Size
10,001+
Company Stage
IPO
Headquarters
New York City, New York
Founded
1799
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Simplify's Take
What believers are saying
- Growth is broad-based: every JPMorgan division posted record revenue in the June 2026 quarter, and trading jumped 35%.
- Stock grants gained value: shares rose 21% in three months, valuing JPMorgan at $965 billion in August 2026.
- Tech teams are well funded: JPMorgan's nearly $20 billion yearly tech budget is the largest in banking.
What critics are saying
- AI is shrinking some teams: Dimon said in July 2026 that AI cut up to 40% of certain roles.
- Plan on five office days a week: JPMorgan ended hybrid schedules for all staff in early 2025.
- It is fighting the president in court: Trump sued JPMorgan for $5 billion in January 2026 over his closed accounts.
What makes JP Morgan Chase unique
- It ranks first in investment banking: JPMorgan earned 9.3% of global deal fees in the first half of 2026.
- It trains future CEOs: 10 Fortune 500 chiefs were JPMorgan alumni in September 2025, fifth-most of any employer.
- Its payments arm is a hidden giant: JPMorgan says it processes $12 trillion a day across 160-plus countries.
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Benefits
Health Insurance
Flexible Work Hours
Paid Sick Leave
Paid Holidays
Growth & Insights and Company News
6 month growth
-9%1 year growth
-4%2 year growth
-4%Tenable, the exposure management company, has entered a credit agreement for a $400 million senior secured revolving credit facility. The facility is initially undrawn and gives the company more flexibility in how it allocates capital. Together with the convertible note financing announced in September, it completes the refinancing of Tenable's prior credit agreement, which included a Term Loan B facility. It also replaces the revolving credit facility that matured in July. The new loans mature on October 13, 2031, subject to a springing maturity date of 91 days inside the maturity of other material indebtedness. JPMorgan Chase Bank acted as administrative agent, and Cooley LLP advised Tenable.
Four of the biggest US banks reported higher third-quarter profits on Tuesday, but warned that higher interest rates and inflation could hurt consumers and the economy. JPMorgan Chase, the largest US bank by assets, earned $15.3 billion, or $5.57 a share, up from $14.4 billion a year earlier. It missed analyst forecasts of $5.93 a share, its first miss in nearly three years. Goldman Sachs posted a profit of $5.29 billion, up from $4.1 billion, as equities revenue jumped 72%. Wells Fargo earned $5.95 billion and beat forecasts, while Citigroup's profit rose 40%. JPMorgan chief executive officer Jamie Dimon cited "large fiscal deficits, sticky inflation, elevated asset prices, rising interest rates and geopolitical conditions.
US stock futures were mixed on Tuesday as investors weighed a wave of earnings reports. Dow futures rose 0.9%, S&P 500 futures slipped 0.1%, and Nasdaq futures fell 0.7%. Memory stocks fell for a second day after a Chinese chipmaker, CXMT, said it had made a breakthrough in memory chip production. Roundhill Memory ETF fell more than 5% in premarket trading. UnitedHealth rose more than 2% after it earned an adjusted $4.69 per share on $112.69 billion in revenue, beating estimates. It raised its full-year earnings outlook to at least $20.50 per share. Goldman Sachs gained more than 3% on strong results. JPMorgan Chase, Wells Fargo, and Citigroup fell short in parts of their reports. Johnson & Johnson fell 2% after $25.40 billion in sales narrowly missed estimates, though it raised its full-year forecasts.
Accelevation Holdings Corp. (Nasdaq: ACCV) has signed a new $650 million senior secured credit agreement. It replaces the credit facilities the company set up before its initial public offering. The deal includes a $400 million revolving credit facility and a $250 million Term Loan A, both maturing in 2031. Pricing is Term Secured Overnight Financing Rate (SOFR) plus 1.50% to 2.50%, down from SOFR plus 4.50% to 5.25%. "The new facilities extend our maturity profile, reduce our borrowing costs, and provide flexibility to continue investing in our business," said chief financial officer Ken Krause. Bank of America, N.A. acted as administrative agent and collateral agent. The Miamisburg, Ohio-based company designs, manufactures, and installs systems for mission-critical infrastructure.
i3 Verticals announced on 9 October 2026 that its subsidiary, i3 Verticals, LLC, secured a $350 million senior secured revolving credit facility with JPMorgan Chase Bank as administrative agent. The agreement replaces a previous credit facility dated 8 May 2023. The facility includes an accordion feature allowing additional commitments up to $100 million or 100% of consolidated EBITDA. Interest rates are based on either base rate or Term SOFR Rate, with margins ranging from 0.50% to 1.50% for base rate loans and 1.50% to 2.50% for Term Benchmark Loans. The borrower must maintain a consolidated interest coverage ratio of at least 3.00 to 1.00 and a consolidated total net leverage ratio not exceeding 4.00 to 1.00. All obligations are guaranteed by i3 Verticals and its material wholly owned domestic subsidiaries.