Top Tech Jobs & Startup Jobs in Seattle, WA

Lead complex technology programs from planning through delivery, managing technical requirements, resources, budgets, timelines, risks, and cross-functional stakeholders. Apply analytical reasoning, Agile practices, and enterprise-authorized AI capabilities to improve planning, governance, reporting, and risk synthesis. Partner with engineering, product, and business teams to align deliverables with organizational goals, validate AI-assisted outputs, and drive continuous improvement. A development or SRE background and experience leading programs are required; Generative AI development experience is preferred.

Leads and develops Relationship Managers serving large corporate clients in Merchant Services. Oversees portfolio performance, coaching, complex negotiations, client retention, payments optimization, and strategic collaboration across the organization. Directly manages select high-value relationships, supports product initiatives, improves processes, and ensures teams maintain current industry expertise. Requires extensive payment processing knowledge, C-suite client experience, contract negotiation, and national travel up to 30%.

Leads development and operation of secure, scalable AI/ML cloud platforms. Designs AWS infrastructure, Kubernetes environments, GPU workloads, infrastructure-as-code, deployment tooling, APIs, and MLOps workflows. Drives reliability, observability, automation, model serving, and enterprise LLM operationalization while partnering with data science and engineering teams. Coaches teams on responsible, secure use of AI-assisted development tools and establishes validation standards for production software.

Leads the architecture and implementation of JPMC-VPC, a software-defined networking platform. Designs control, distribution, and data planes, gateways, load balancers, and IPAM systems; writes production code; develops reusable frameworks; drives modernization, scalability, resilience, and operational stability. Collaborates with vendors, open-source communities, and cross-functional stakeholders while providing strategic technical leadership across networking and distributed systems.

Leads architecture, development, deployment, and optimization of enterprise LLM and GNN serving platforms across AWS, cloud, and on-premises environments. Establishes MLOps and LLMOps strategies, agentic AI engineering standards, automation, governance, observability, and operational practices. Optimizes inference for throughput and latency using Triton and vLLM, partners with data science and SRE teams, and influences senior stakeholders on secure, responsible AI adoption.

Manage and grow high-net-worth client relationships by providing personalized banking, lending, investment, and financial planning solutions. Responsibilities include acquiring new clients, building referral networks, developing business pipelines, presenting JPMorgan Private Client offerings, sharing market insights, coordinating across business lines, and maintaining strong regulatory and risk controls. The role requires extensive financial services experience, prospecting ability, trusted relationships, and securities licenses or completion of JPMC’s licensing program.

Build and operate scalable machine learning training platforms and pipelines across AWS and other cloud environments. Optimize GPU-based single-node and distributed training for performance, cost, stability, and reproducibility. Develop Kubernetes infrastructure, GenAI and LLM fine-tuning workflows, observability, CI/CD automation, governance controls, and developer self-service tools. Partner with data engineering and platform teams while applying secure, responsible AI-assisted development practices.

Lead strategy and development for multiple products on the CDAO AI/ML Data Platforms Team. Design, build, and operate cloud-native, production-quality 24x7 tier‑1 services; create reusable frameworks; scale agentic AI-enabled development with governance, security, and validation; advise senior leadership and drive cross-functional adoption and innovation.

Lead design and implement confidential computing and enterprise security solutions across cloud platforms. Develop and review secure production code, perform threat modeling, vulnerability and penetration testing, and advise stakeholders on security controls and mitigation.

Lead development and maintenance of a multi-runtime TLS abstraction layer across Java, Python, and Node.js. Design APIs, ensure TLS 1.2/1.3 conformance, build comprehensive tests, maintain CI/CD pipelines, triage complex TLS issues, monitor standards and crypto libraries, and produce integration and migration documentation for enterprise adoption.