Lead Software Engineer - AI & Machine Learning

Aumni; Ohio; Vor Ort; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

JPMorganChase in the United States is seeking a Lead Software Engineer to influence outcomes across a federated delivery model, enabling reuse and embedding practical frameworks that improve delivery speed, resiliency, and control adherence.

You will drive scalable adoption of responsible AI and intelligent automation by defining standards, reference architectures, and governance that teams can implement consistently, while partnering with engineering, product, and business teams to embed

Qualifikationen

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Experience influencing senior stakeholders across multiple teams in a large organization.
• Experience operating in an enterprise enablement function focused on standards and governance.

Aufgaben

• Drive enterprise alignment and adoption of AI/ML and automation by partnering with teams to embed consistent approaches into roadmaps.
• Influence cross-functional stakeholders to align priorities and reduce fragmentation across federated teams.
• Define and evolve scalable reference architectures and standards to accelerate adoption.
• Enable reuse at scale through shared tooling, accelerators, and reusable capabilities.
• Provide advisory support to strengthen design decisions and operational readiness of AI-enabled solutions.
• Establish Responsible AI governance across distributed teams, including bias mitigation and data quality.
• Promote secure, resilient engineering practices aligned to enterprise architecture expectations.
• Lead communities of practice to uplift capability and drive continuous improvement.
• Drive adoption of enterprise-authorized AI-assisted engineering practices and validate AI outputs for correctness, performance, and security.
• Apply SDLC tools, including AI-assisted development, to improve value realized by automation.

Kenntnisse

Stakeholder influence

Enterprise enablement

Responsible AI governance

AI/ML concepts

Secure coding practices

Ausbildung

Software engineering concepts certification

Tools

APIs

Microservices

Cloud architectures

Jobbeschreibung

You will influence outcomes across a federated delivery model by enabling reuse, aligning stakeholders, and embedding practical frameworks that improve delivery speed, resiliency, and control adherence.

As a Lead Software Engineer at JPMorganChase within Corporate Technology and the AI/Machine Learning & Automation Center of Excellence, you will drive scalable adoption of responsible AI and intelligent automation by defining standards, reference architectures, and governance that teams can implement consistently.

Job Responsibilities

• Drive enterprise alignment and adoption of AI/machine learning and intelligent automation by partnering with engineering, product, and business teams to embed consistent approaches into delivery roadmaps.
• Influence cross-functional stakeholders to align priorities across federated teams, reduce fragmentation, and drive adherence to Center of Excellence frameworks and standards.
• Define, maintain, and evolve scalable reference architectures, implementation patterns, and standards that accelerate adoption while remaining practical for delivery teams.
• Enable reuse at scale by promoting shared tooling, accelerators, and reusable capabilities that improve time-to-market and consistency.
• Provide advisory support and constructive challenge to delivery teams to strengthen design decisions, implementation quality, and operational readiness of AI-enabled solutions.
• Establish and reinforce Responsible AI governance across distributed teams, including practices for ethical AI use, bias mitigation, data quality, and lifecycle management.
• Promote secure, resilient, and scalable engineering practices aligned to enterprise architecture expectations across cloud, APIs, and integration patterns.
• Lead and contribute to a community of practice to uplift capability, share patterns, and drive continuous improvement across teams.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required Qualifications, Capabilities, and Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Demonstrated ability to influence and align senior stakeholders across multiple teams in a large, complex organization without direct authority.
• Experience operating within an enterprise enablement function or center of excellence model, focused on standards, governance, and scaled adoption.
• Strong understanding of AI/machine learning, generative AI (large language models and small language models), natural language processing, and intelligent automation concepts, with emphasis on enablement over direct model ownership.
• Solid grounding in modern engineering practices, including software development life cycle, scalable system design, and operational resilience.
• Experience designing or governing cloud-based architectures leveraging APIs, microservices, and integration patterns at enterprise scale.
• Proven ability to define and embed Responsible AI governance across distributed teams, including bias mitigation, data quality, and lifecycle management practices.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.

Preferred Qualifications, Capabilities, and Skills

• Experience developing reference architectures and reusable patterns for AI-enabled automation across multiple product or platform domains.
• Experience building and sustaining communities of practice, including facilitation, knowledge sharing, and capability uplift programs.
• Deep familiarity with data and analytics practices for large-scale data pipelines, preprocessing, and performance optimization in production environments.
• Experience defining adoption metrics and lightweight governance mechanisms that improve standardization without slowing delivery.
• Strong executive communication skills, including storytelling, facilitation, and the ability to translate strategy into consumable standards and playbooks.

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 FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Enable enterprise adoption of AI/machine learning and intelligent automation through scalable standards, governance, and reuse.