Lead Software Engineer - AI & Machine Learning
JPMorgan Chase14 hours ago
Responsibilities
- Drive enterprise alignment and adoption of AI/machine learning, generative AI, and intelligent automation across federated engineering, product, and business teams.
- Define and maintain scalable reference architectures, implementation patterns, standards, shared tooling, accelerators, and reusable capabilities.
- Provide advisory support and constructive challenge on design decisions, implementation quality, operational readiness, and enterprise architecture alignment.
- Establish Responsible AI governance covering ethical AI use, bias mitigation, data quality, lifecycle management, data sensitivity, and secure handling of inputs and outputs.
- Promote secure, resilient, and scalable engineering practices across cloud-based architectures, APIs, and integration patterns.
- Lead communities of practice, facilitate knowledge sharing, and drive capability uplift and continuous improvement.
- Guide adoption and validation of enterprise-authorized AI-assisted software development and automation tools for coding, code review, testing, troubleshooting, and incident analysis.
Requirements
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Ability to influence and align senior stakeholders across multiple teams in a large, complex organization without direct authority.
- Experience in an enterprise enablement function or Center of Excellence focused on standards, governance, and scaled adoption.
- Strong understanding of AI/machine learning, generative AI including large and small language models, natural language processing, and intelligent automation.
- Knowledge of modern software engineering practices, software development life cycle, scalable system design, and operational resilience.
- Experience designing or governing enterprise-scale cloud architectures using APIs, microservices, and integration patterns.
- Experience defining and embedding Responsible AI governance, including bias mitigation, data quality, and lifecycle management.
- Experience leading approved AI-assisted software development tools and setting expectations for validating AI outputs for correctness, performance, and security.
- Preferred experience developing AI-enabled reference architectures, reusable patterns, adoption metrics, governance mechanisms, and communities of practice.
- Preferred familiarity with large-scale data pipelines, preprocessing, production performance optimization, executive communication, facilitation, and translating strategy into standards and playbooks.
Benefits
- Competitive total rewards package with base salary determined by role, experience, skill set, and location.
- Eligible roles may receive commission-based pay or discretionary incentive compensation in cash or forfeitable equity.
- Benefits may include comprehensive health care coverage, on-site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Additional compensation and benefits details are provided during the hiring process.
Categories
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.