AI Solutions Strategist, GTM Applications

CrowdStrike

AI Solutions Strategist at CrowdStrike deploying AI solutions across GTM platforms. Collaborating with cross-functional teams to implement intelligent workflows and drive enterprise initiatives.

Posted 6/12/2026full-timeRemote • California • 🇺🇸 United StatesSeniorLead💰 $145,000 - $220,000 per yearWebsite

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Hard Skills

AI workflowsLLM-powered agentsRAG pipelinesorchestration frameworksenterprise AI servicesAI/ML technologiesAI governancevector databasesevent-driven architecturesAPIs

Soft Skills

stakeholder managementcross-functional leadershipcommunicationexecutive presentationtechnical leadership

Tools & Technologies

SalesforceSlackMarketoCPQSnowflakeLangGraphCrewAIOpenAIAWS BedrockSemantic Kernel

Certifications & Qualifications

Bachelor’s degree in Computer ScienceMaster’s degree in Computer ScienceBachelor’s degree in EngineeringMaster’s degree in EngineeringBachelor’s degree in Information SystemsMaster’s degree in Information Systems

Industry Keywords

Agentic AIenterprise technologysolution deliverydistributed architectureAI transformation initiativesAI observabilityintelligent workflow orchestrationresponsible AI practicesdata privacyopen-source AI

Tech Stack

Tools & technologies

AWS

About the role

Key responsibilities & impact

Lead the design, deployment, and operationalization of agentic AI workflows across GTM platforms (Salesforce, Slack, Marketo, CPQ, Snowflake and enterprise systems)
Drive end-to-end delivery of enterprise AI initiatives by partnering with Product Managers, Engineering teams, Security, and Business Stakeholders across the GTM ecosystem
Define scalable integration patterns for LLM-powered agents, RAG pipelines, orchestration frameworks, and enterprise AI services using LangGraph, CrewAI, MCP, or similar technologies
Oversee implementation of intelligent workflows with human-in-the-loop escalation, retry handling, observability, and governance controls
Establish AI deployment standards, reusable design patterns, and operational guardrails for the GTM AI Pod engineering teams
Collaborate closely with developers and solution teams while remaining hands-on in solution design, deployment planning, technical reviews, and implementation guidance
Lead architecture and delivery reviews to ensure AI solutions are scalable, secure, maintainable, and aligned with enterprise standards
Define standards for Agentic Development Life cycle, operating model and deployment of agents on SAAS/On-prem infrastructure
Partner with Information Security teams to ensure responsible AI practices, secure data handling, and policy controlled compliant AI workflows
Drive stakeholder alignment across business, technology teams and leadership team for strategic AI programs
Evaluate and recommend AI platforms, vector databases, orchestration tooling, and enterprise integration strategies
Champion adoption of Agentic AI and LLM-powered tooling across GTM engineering and operational workflows
Promote automation-first thinking and pragmatic application of AI/ML technologies to enterprise GTM systems
Stay current with rapidly evolving AI ecosystems, orchestration frameworks, and enterprise AI best practices
Encourage adoption of open standards and open-source AI tooling wherever appropriate
Operate with responsible AI principles including security, transparency, governance, and data privacy by default
Contributions to open-source AI ecosystems or AI engineering communities

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field
10+ years of experience in enterprise technology, solution delivery, distributed architecture, or product engineering environments
Experience leading enterprise Agentic AI transformation initiatives
3+ years of hands-on experience designing and deploying AI/LLM-powered enterprise solutions
Strong experience leading cross-functional programs and managing stakeholder relationships across business and technology organizations
Deep understanding of AI orchestration frameworks such as LangGraph, CrewAI, LangChain, Semantic Kernel, or similar platforms
Experience with LLM APIs and enterprise AI platforms including OpenAI, Anthropic, AWS Bedrock, or equivalent ecosystems
Experience implementing RAG architectures, vector databases, AI observability, and intelligent workflow orchestration
Experience with AI governance, prompt security, and AI risk mitigation frameworks
Strong understanding of enterprise integrations, APIs, event-driven architectures, and GTM platforms (Salesforce preferred)
Experience guiding engineering teams through implementation while remaining hands-on in solution design and deployment strategy
Strong communication, executive presentation, and technical leadership skills.

Benefits

Comp & perks

Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Great Place to Work Certified™ across the globe