Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Lead AI engagements, shaping strategy and architecture. Engage with various stakeholders, design AI operating models, and facilitate workshops. Drive expansion opportunities and contribute to internal frameworks.

Lead end-to-end technical project management for Amazon Connect and AWS contact center implementations. Responsibilities include client engagement, project planning, scope, budget, risk management, technical solution oversight, integrations, testing, analytics, CI/CD, knowledge transfer, continuous improvement, and mentoring. The role requires strong AWS and contact center expertise, project management capabilities, and communication skills. It is fully remote and may require up to 25% travel.

Build and ship production-quality LLM applications, cloud-native systems, backend services, and business automations within client environments. Own assigned workstreams, translate ambiguous problems into deliverables, contribute to architecture and discovery sessions, communicate with technical and business stakeholders, identify risks, document solutions, and transfer working capabilities. Depending on specialization, support engineering teams or business functions with AI enablement and workflow automation.

Lead software engineering teams and complex client engagements delivering AI-first, cloud-native applications. Manage 5–8 technical direct reports, own requirements, architecture, backlogs, technical decisions, testing, risk escalation, and executive client communications. Partner with architects, engineers, project managers, sales, and stakeholders on discovery, delivery, modernization, integrations, and pre-sales. Mentor team members and contribute hands-on to AWS and AI-enabled software development.

Build and operate enterprise Amazon Connect contact centers and AI agents. Implement generative AI (Bedrock/Claude), serverless backends, CDK IaC, observability, testing, and integrations with CRMs and analytics. Own delivery from code to production, mentor engineers, and support customer-facing technical workstreams.

Own and manage client relationships, make architectural decisions, run discovery and stakeholder interviews, deliver software or automations, and contribute intellectual property back to the practice.

Lead the architecture and implementation of complex cloud-based data solutions for customers. Define strategic data roadmaps, support pre-sales engagements as a data engineering subject matter expert, interview and mentor architects and engineers, and oversee data standards and operating procedures. The role requires extensive AWS data architecture experience across traditional and modern data platforms, including big data, machine learning, generative AI, DataOps, infrastructure as code, CI/CD, and Python automation.

The AI/ML Engineering Manager leads a team of ML engineers and architects, managing hiring, performance, and customer engagements while providing technical guidance in ML operations and architecture.

The Principal Cloud Architect will lead cloud solution designs and implementations for clients, guiding teams, mentoring staff, and driving innovation in AWS architectural strategy.

Senior QA Engineer responsible for designing and executing test strategies for Amazon Connect contact centers, building manual and automated Playwright/Cypress/Selenium suites across UI, API and serverless backends, validating migrations and production readiness, running UAT, incident triage, and mentoring junior QA engineers.