Navigate enterprise security, legacy databases, and complex infrastructures Technical Advisory - Serve as a subject matter expert on Generative AI architecture, prompt engineering, model evaluation, and AI security/guardrails for C-level executives and lead developers Travel - Flexibility to travel up to 30% of the timeBachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent experience 5+ years of experience in a technical customer-facing role such as AI Architect, Solutions Architect, Sales Engineer, Technical Account Manager, Enterprise Architect or a highly technical Forward Deployed / Solutions Engineering role Experience engaging enterprise customers through the sales lifecycle, purchasing and deployment decisions, involving multiple stakeholders across IT, Security, Legal, and executive leadership Experience in consultative selling with a track record of driving technical wins in competitive enterprise sales cycles Strong understanding of cloud-native architectures (AWS, GCP, or Azure), API design patterns, modern deployment concepts, data integration, identity, security and privacy, and enterprise integration approaches (SSO, data governance, networking) Comfortable with Python and able to build lightweight demos, scripts, and reference implementations (not expected to write production-grade application code) Familiarity with the Generative AI ecosystem: APIs, prompt engineering, RAG architectures, vector databases, and evaluation frameworks. Experience helping customers move from evaluation to live applications with measurable business value Experience creating and delivering technical enablement programs for sales teams, partners, or customer communities Experience with AI observability, evaluation frameworks (evals) assessing quality, latency, cost and reliability, and implementing enterprise-grade security guardrails for AI applications Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Familiarity with enterprise security and compliance frameworks (SOC 2, ISO 27001, FedRAMP, HIPAA) in the context of AI deployments Experience with AI safety, responsible AI practices, and implementing guardrails for LLM applications in regulated industries Hands-on experience building applications using AI APIs (e.g., OpenAI, Anthropic) and familiarity with the Generative AI ecosystem (Vector Databases, RAG architectures, agentic workflows, tool use and frameworks like LangChain/LangGraph)Meta builds technologies that help people connect, find communities, and grow businesses.