Software Engineer II - AI/ML
JPMorgan Chase12 hours ago
Plano, TX, USAMid Level
H1B sponsor
Responsibilities
- Design, develop, test, debug, and review secure, high-quality production software across distributed systems.
- Build scalable ML systems supporting batch and real-time inference, data and feature pipelines, model training, evaluation, deployment, monitoring, and drift/performance management.
- Drive adoption of enterprise-authorized AI-assisted engineering tools and establish standards for validating AI-generated outputs for correctness, performance, and security.
- Identify and automate recurring issue remediation to improve application and ML system stability, including alerts, SLOs, auto-rollbacks, and guardrails.
- Evaluate architectural designs and technical capabilities from vendors, startups, and internal teams for applicability to existing systems.
- Influence architecture decisions across teams and communicate complex technical concepts clearly.
- Coach engineers on safe, compliant, and responsible use of AI-assisted development practices.
Requirements
- Formal training or certification in software engineering concepts and 2+ years of applied experience, including production-grade distributed systems design and delivery.
- At least 1 year of experience building and/or operating ML-enabled systems in production.
- Hands-on experience with system design, application development, testing, and operational stability.
- Advanced proficiency in one or more programming languages such as Python or Java, with strong data structures, algorithms, and concurrency fundamentals.
- Experience using approved AI-assisted software development tools for coding, code review, test acceleration, or troubleshooting, including validating outputs for correctness, performance, and security.
- Understanding of responsible AI use, data sensitivity, secure input/output handling, resiliency, security expectations, and compliant engineering adoption.
- Proficiency across the Software Development Life Cycle and strong understanding of application resiliency and security practices.
- Experience with AI/ML processes including model training pipelines, feature engineering, experiment tracking, model deployment, and monitoring/observability.
- Experience with Spark, SQL, orchestration tools, Docker, and Kubernetes-based deployment patterns.
- Practical cloud-native experience such as AWS, including secure services, secrets management, networking fundamentals, and scalable data processing.
- Preferred experience applying ML to servicing or customer operations use cases.
- Preferred MLOps experience with model registries, feature stores, canary or shadow deployments, and model performance or drift monitoring.
- Preferred experience with responsible AI practices including bias and fairness testing, explainability, privacy-aware design, and regulated risk/control collaboration.
- Preferred familiarity with LLM-enabled architectures, RAG patterns, prompt/version management, evaluation, safety filters, and enterprise controls.
- Preferred experience building event-driven and streaming architectures for near-real-time ML signals.
- Preferred mentoring or coaching experience and a record of improving engineering quality through standards, reviews, and reusable frameworks.
Benefits
- Competitive total rewards package with benefits determined by eligibility and role, experience, skill set, and location.
- Comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Eligible roles may include commission-based pay and/or discretionary incentive compensation, including cash and/or forfeitable equity.
- Equal opportunity employer that provides reasonable accommodations for religious practices, mental health needs, and physical disabilities.
Tech Stack
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.