Senior Principal Software Engineer - AI Development | Engineering Services & Platforms
JPMorgan Chase2 months ago
Responsibilities
- Own the platform architecture for data ingestion pipelines, dependency graph modeling, developer-facing APIs, and firm-wide integrations.
- Act as the technical authority for design decisions, performance issues, build-versus-buy evaluations, and complex technology problems.
- Partner with the Engineering Executive Director on technical strategy and roadmap sequencing.
- Lead delivery of the core software dependency risk platform from design through production stability and iterative improvement.
- Mentor senior engineers, raise technical standards, and provide senior engineering leadership across teams and functions.
- Define strategy and operating standards for agentic AI-enabled engineering, including automation, release readiness, incident triage, refactoring, and test modernization.
- Establish guardrails for human validation, security, resiliency, traceability, auditability, sensitive-data handling, and responsible AI adoption.
- Embed AI tools including Claude into team design, coding, review, and delivery practices.
- Represent engineering in discussions with security, risk, compliance, platform partners, and senior stakeholders.
Requirements
- Formal training or certification in software engineering concepts and at least 10 years of applied experience.
- Expertise in one or more programming languages, specifically Java and Python.
- Experience designing and scaling data-intensive platforms involving data structures, large-scale ingestion, data pipelines, graphs, or dependency modeling.
- Hands-on experience across architecture, application development, testing, first release, operational stability, and iterative improvement.
- Experience with AI-first development practices using LLMs and agentic tools to accelerate software delivery.
- Experience designing and scaling agentic AI-enabled development patterns with governance for human-in-the-loop validation, traceability, auditability, and secure input/output handling.
- Strong understanding of responsible AI, security, resiliency, data sensitivity, risk-based governance, and advising senior leaders on safe adoption and measurable outcomes.
- Extensive practical cloud-native experience with AWS.
- Preferred experience with greenfield architecture.
- Preferred experience delivering AI/ML solutions in financial services, capital markets, or operations-focused environments.
- Preferred experience working in highly regulated environments with model risk, governance, or control expectations.
- Preferred experience designing scalable architectures for AI products and platforms across multiple stakeholder groups.
Benefits
- Competitive total rewards package with benefits determined by role, experience, skill set, and location; compensation details are provided during hiring.
- Eligible roles may receive commission-based pay or discretionary incentive compensation in cash and/or forfeitable equity.
- Benefits may include comprehensive healthcare, on-site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- JPMorganChase offers equal opportunity employment, diversity and inclusion programs, and reasonable accommodations for religious practices, mental health needs, and disabilities.
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.