Top AI Jobs in Seattle, WA

Lead Sailor Health’s B2C creative strategy and performance marketing engine. Own the creative roadmap, testing strategy, patient storytelling, and performance analysis across Meta, Google, and YouTube. Build and manage an internal team of designers, editors, copywriters, creators, freelancers, and agencies. Establish scalable creative systems, use AI to increase production speed, and ensure brand consistency and HIPAA-compliant healthcare marketing.

Lead executive and internal communications for the COO, serving as a strategic advisor and shaping leadership narratives, messaging, and organizational alignment. Draft executive remarks, business updates, Q&As, video scripts, and employee communications; support speaking engagements and change communications; partner with Marketing and External Communications; establish communication planning processes; and measure employee engagement effectiveness across a distributed operations workforce.

Lead, coach, and develop an outbound BDR team responsible for pipeline generation. Set performance goals, provide hands-on call coaching, improve prospecting strategies and workflows, monitor conversion and pipeline metrics, and collaborate with Marketing, Sales, RevOps, and Enablement. The role requires managing SaaS-based BDR teams, using sales technology and data dashboards, supporting inbound lead conversion, and applying AI-enabled prospecting and coaching workflows.

Leads Professional Services delivery for customer experience technology solutions across an assigned region. Oversees team performance, development, utilization, profitability, service quality, and client satisfaction. Partners with Sales, architects, engineers, technology vendors, and executives on estimates, strategic planning, solution reviews, and escalations. Develops complex project plans, supports enterprise technology implementations, and drives adoption of AI-enabled practices. The role includes approximately 15% billable strategic oversight and requires travel to company or client locations as needed.

Lead full-cycle recruiting for complex and senior-level G&A roles across Finance, Legal, People, IT, Facilities, and Enterprise Operations. Advise senior leaders, develop talent strategies, manage sourcing and candidate engagement, negotiate offers, use recruiting data and AI to improve workflows, maintain compliance and ATS accuracy, and mentor recruiters on G&A hiring and AI-enabled practices.

Lead the technical vision and development of scalable ML and AI evaluation systems for Atlassian’s Rovo Chat. Build agentic capabilities, datasets, simulations, automated judges, experimentation platforms, and quality signals. Identify failure modes, ship interventions, and improve customer outcomes while balancing quality, latency, reliability, safety, and cost. Provide cross-organizational technical leadership, mentorship, design guidance, and strategic direction for AI products.

Principal Machine Learning Engineer responsible for setting technical direction and building production-grade AI systems for Confluence. The role spans model evaluation, retrieval, ranking, prompt and workflow design, experimentation, reliability, and customer-facing AI product development. Responsibilities include making architectural decisions, partnering across engineering and product teams, mentoring engineers, identifying model and product failure modes, and delivering scalable AI experiences across content creation, editing, discovery, recommendations, and multimodal interaction.

Build and evaluate applied machine learning and Generative AI solutions for product and business problems. Interns will contribute to models, agents, retrieval, experimentation, evaluation, and prototyping with mentorship from experienced engineers. Responsibilities include translating business needs into technical projects, analyzing errors and user feedback, measuring outcomes, and clearly documenting findings, trade-offs, limitations, and next steps.

Paid 12-week software engineering internship involving coding and shipping product features, full-lifecycle development, technical training, mentorship, and collaboration on Atlassian cloud and core products. Interns will apply programming, data structures, algorithms, and software design fundamentals while working with senior engineers. Preferred experience includes prior software engineering projects or internships, AI/ML exposure, and familiarity with design patterns.

Lead strategic vision and end-to-end product design for Atlassian’s Rovo and AI experiences across Jira, Confluence, Bitbucket, and other products. Drive systems thinking, visual and interaction design, design reviews, design systems, cross-functional alignment, customer-value outcomes, success metrics, and design craft coaching. Partner with engineering, product, research, content, marketing, and analytics teams to improve AI and search experiences across the Atlassian portfolio.

Serve as a technical pre-sales advisor for GitLab’s AI-powered DevSecOps platform across Southern EMEA. Lead discovery, demonstrations, workshops, solution design, proofs of value, tenders, audits, and technical evaluations. Advise customers on software development, CI/CD, security, cloud, and digital transformation while partnering with Account Executives and internal teams to support revenue growth, platform adoption, and customer advocacy.

Leads full-cycle enterprise sales for insurance technology and AI-powered SaaS solutions, managing prospecting, discovery, evaluations, proofs of concept, negotiations, and account expansion. Builds strategic account plans, develops executive relationships, explains technical concepts, coordinates cross-functional teams, maintains Salesforce pipeline hygiene, and supports customer retention. This primarily outside-sales role requires frequent U.S. travel of up to 50%.

Lead Cloudflare’s AI-first Revenue Operations technology roadmap. Assess workflows, systems, integrations, and user needs; design and prototype scalable automation and AI solutions; guide build, buy, blend, and retirement decisions; establish governance, security, privacy, and change controls; and partner with IT, Engineering, Procurement, Finance, vendors, and GTM stakeholders to deliver a secure, efficient seller technology ecosystem.

Leads a team of data scientists and business intelligence engineers responsible for demand forecasting, customer-agent routing, budgeting projections, and core business KPIs. Designs scalable analytical assets in Snowflake and Tableau, embeds AI into analytics workflows, partners with Product, Engineering, and Finance, and advises senior leaders on strategic investments, tradeoffs, revenue, and profitability.

Own replenishment, order writing, inventory forecasting, and open-to-buy planning for Furniture and Monitors. Manage dropship vendors, monitor availability and out-of-stocks, resolve fulfillment risks, and deliver sales and inventory recaps. Partner with Merchandising, Supply Chain, and Finance on assortment changes, new product introductions, and category health. The role requires advanced Excel, retail math, planning-system proficiency, strong vendor communication, and effective use of AI tools.

Analyzes the Security for AI competitive landscape, including AI detection and response, generative AI security, autonomous agents, prompt injection, and data leakage. Partners with Product, Sales, Marketing, Strategy, and senior leaders to guide product roadmaps, go-to-market strategy, deal support, sales tactics, and competitive positioning. Conducts win/loss analysis and translates complex AI and cybersecurity concepts into executive and field-actionable guidance.

Leads device security assessments, penetration testing, vulnerability testing, digital forensics, threat modeling, and security strategy for IoT and mobile devices. Collaborates with engineering teams and OEMs to integrate security into hardware, software, and deployment processes. Defines assessment methodologies, standards, requirements, and tooling roadmaps while mentoring security engineers and supporting incident response and compliance initiatives.

Build and deploy production-grade AI and machine learning systems supporting biomedical research and drug discovery. Own technical solutions from architecture through deployment, including data pipelines, retrieval systems, knowledge systems, inference services, evaluation frameworks, and human-in-the-loop workflows. Partner with scientists and engineers to transform prototypes into scalable, secure, reliable platforms. Lead technical delivery, make architecture tradeoffs, improve engineering standards, mentor teammates, and promote responsible AI practices.

Build and deploy production-grade AI and machine learning systems supporting biomedical research, including multimodal models, intelligent agents, retrieval, knowledge systems, evaluation frameworks, and inference services. Own architecture through production, make scalability and reliability tradeoffs, establish responsible AI practices, and drive technical delivery. Collaborate with scientists, computational biologists, and platform teams while mentoring engineers and improving engineering standards, observability, and system performance.

Leads strategy, roadmap, commercialization, and end-to-end delivery of enterprise AI products and reusable AI platform capabilities. Conducts customer discovery, market analysis, prototyping, experimentation, and product prioritization. Partners with architecture, engineering, design, marketing, sales, and external partners to launch scalable AI solutions using LLMs, RAG, and ML platforms. Defines requirements, success metrics, investment cases, and technical roadmaps while mentoring product managers and influencing executive stakeholders.

Designs, builds, and operates secure, scalable cloud and GPU infrastructure platforms for enterprise AI/ML workloads. Leads architecture, production coding, Kubernetes and container operations, CI/CD, infrastructure automation, performance optimization, and reliability efforts. Partners with AI/ML and platform teams to support distributed multi-GPU training and inference. Provides technical leadership while advancing responsible AI-assisted engineering, secure SDLC practices, automation, and operational excellence.

Build and operate SoFi’s internal AI platform through production-grade microservices, telemetry pipelines, AI integrations, and developer tooling. Own feature delivery, architecture, testing, deployment, incident response, and operational excellence. Collaborate with partner teams and internal customers, improve platform adoption, participate in design reviews, and mentor engineers. Apply AI-assisted development responsibly while protecting sensitive data and maintaining rigorous security, testing, and governance standards.

Build an AI agent or developer-tooling prototype for software engineering workflows using Python or TypeScript. Integrate approved APIs and tools, create automated tests and evaluation datasets, instrument solutions with logging and tracing, assess performance against baselines, document decisions, and present recommendations. Collaborate with engineers to define use cases, requirements, and success criteria while critically evaluating AI-generated outputs and maintaining security and data-handling standards.

An 11-week paid internship focused on building AI agents and developer tools for software engineering workflows. The intern will create API integrations, workflow automations, evaluation datasets, regression tests, logging, and tracing using Python and/or TypeScript. Responsibilities include defining use cases, measuring performance against baselines, documenting design decisions, incorporating feedback, and presenting a working prototype. Collaboration, debugging, critical evaluation of AI outputs, and clear communication are essential.

An 11-week internship focused on designing, testing, refining, and documenting prompts for conversational AI, including chatbots and voice assistants. The intern will evaluate prompt performance, build prompt libraries, create AI-enabled workflows, collaborate with product and engineering teams, and present strategy and results to leadership. The role requires strong writing, analytical thinking, curiosity, and hands-on experience with LLMs.