Top Remote Jobs in Spokane, WA

Leads enterprise AI solution strategy, architecture, pre-sales, and implementation delivery for customers across the Americas. Defines AI use cases, validates feasibility, designs scalable architectures, guides Professional Services teams, and resolves complex technical challenges. Develops AI service offerings, methodologies, reusable assets, and enablement programs while mentoring architects, consultants, and project leaders. Requires deep experience with enterprise transformations, LLMs, multi-agent systems, generative AI, data architecture, cloud platforms, and production AI deployments.

Designs and operates production ML and LLM platforms, including training, evaluation, deployment, monitoring, CI/CD, observability, governance, guardrails, and cost controls. Builds secure, compliant healthcare AI systems on GCP using Vertex AI, containers, Kubernetes, and Cloud Run. Requires strong Python, ML engineering, LLM production experience, and expertise in model lifecycle management, data provenance, privacy, and regulated environments.

Own strategic enterprise customer relationships from pilot through adoption, renewal, and expansion. Build account plans, engage executive sponsors, lead business reviews, support deployments, drive commercial expansion, manage escalations, provide product feedback, and develop customer case studies. The role also helps establish the enterprise customer success playbook and requires 30–50% travel.

Own Stay AI’s marketing function end to end, including competitive positioning, product marketing, sales enablement, content, channel strategy, market narrative, pipeline generation, and executive reporting. The role partners closely with sales, product, and the CEO, creates messaging and marketing materials directly, supports product launches, analyzes campaign performance, and presents marketing results to leadership and the board.

Build and scale renewal operations for a high-volume down-market segment. Own renewal data, reporting, forecasting, pacing models, workflows, systems configuration, partner portal processes, and recurring operating cadences. Translate CRM data into executive insights, establish leading indicators, improve data quality, and coordinate with Revenue Operations, Customer Operations, IT, and cross-functional stakeholders to automate and optimize renewal processes.

Manage the company’s IT department and ensure reliable operation of networks, servers, systems, security, and end-user technology. Responsibilities include AWS and Oracle administration, Microsoft 365 access management, technical support, cybersecurity monitoring, compliance, vendor coordination, budgeting, and leading IT infrastructure projects. The role also supports Windows and Apple devices, manages IT tickets, and coordinates cross-functional technology initiatives.

Designs and manages training initiatives for behavioral health providers. Responsibilities include conducting needs analyses, applying instructional design models, translating clinical protocols into scenario-based learning, developing Articulate 360 courses and multimedia, using generative AI responsibly, creating assessments, performing quality assurance, analyzing feedback, and managing project timelines.

Lead the technical vision and development of Placer.ai’s AI-powered location intelligence platform. Build full-stack conversational AI features, including LLM integrations, retrieval, agents, tool-calling, streaming interfaces, evaluations, monitoring, and security controls. Translate ambiguous requirements into scalable production systems, make architecture decisions, collaborate with product, design, and customers, and improve engineering practices through code reviews, testing, and AI-assisted development.

Designs and delivers production-grade enterprise AI solutions using LLMs, RAG, agentic AI, MCP, and Azure. Translates business needs into secure, scalable architectures; establishes AI engineering standards, evaluation, observability, and guardrails; leads architecture and code reviews; mentors AI, software, and data engineers; evaluates emerging technologies; and supports client workshops, demonstrations, solutioning, and presales.

Build and deploy production-grade generative and agentic AI applications using Python or JavaScript/TypeScript, LangChain, LangGraph, RAG, vector databases, Docker, Kubernetes, and cloud platforms. Develop workflows, integrations, evaluation pipelines, observability, security controls, and CI/CD processes. Optimize quality, performance, reliability, and cost while supporting production operations. Collaborate with architects, engineers, security teams, customers, and stakeholders; create documentation, participate in reviews, mentor engineers, and communicate technical tradeoffs.