1 day ago
Base Salary
$157k - $215k/yr
Responsibilities
- Partner with sales to conduct technical discovery and design feasible AI solution architectures and integration plans.
- Own technical account plans, adoption milestones, API usage reviews, technical health, blockers, and expansion opportunities.
- Advise customers on LLM selection, RAG patterns, prompt engineering, agentic workflows, tool use, data pipelines, and enterprise integrations.
- Design evaluation frameworks and acceptance criteria covering quality, latency, cost, and reliability.
- Create demos, lightweight proofs of concept, reference architectures, technical content, and reference implementations.
- Guide enterprise security, compliance, governance, responsible AI, and AI guardrail requirements.
- Support customer prototyping, deployment planning, production implementation, adoption, and expansion.
- Collaborate with Product, Engineering, PMM, sales, partners, and customer stakeholders to surface feedback and enable technical teams.
- Communicate Generative AI architecture and deployment concepts to executives, IT leaders, engineers, and business stakeholders.
- Travel up to 30% of the time.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent experience.
- At least 5 years of experience in a technical customer-facing role such as AI Architect, Solutions Architect, Sales Engineer, Technical Account Manager, Enterprise Architect, or highly technical Forward Deployed or Solutions Engineering role.
- Experience engaging enterprise customers across sales, purchasing, deployment, evaluation, integration, and adoption decisions with stakeholders in IT, Security, Legal, and executive leadership.
- Experience with consultative selling and driving technical wins in competitive enterprise sales cycles.
- Strong understanding of AWS, GCP, or Azure; API design; deployment concepts; data integration; identity; security; privacy; SSO; data governance; networking; and enterprise integration.
- Comfort with Python for lightweight demos, scripts, and reference implementations.
- Familiarity with Generative AI APIs, prompt engineering, RAG architectures, vector databases, evaluation frameworks, and building lightweight LLM demos and prototypes.
- Experience planning and managing customer technical engagements, resolving blockers, and coordinating customer and internal teams.
- Ability to communicate complex AI and machine learning concepts to both technical and non-technical audiences.
- Preferred experience architecting AI/ML solutions at enterprise scale, including model deployment, monitoring, governance, observability, evaluation, security guardrails, and responsible AI practices.
- Preferred experience creating technical enablement programs and building applications with AI APIs such as OpenAI and Anthropic, plus familiarity with LangChain and LangGraph.
Benefits
- Base salary of $157,000/year to $215,000/year, plus bonus, equity, and benefits.
- Travel is required up to 30% of the time.
Tech Stack
Categories
Solutions Engineering
About Meta
Meta builds social platforms and communication apps—including Facebook, Instagram, WhatsApp, and Messenger—and develops AR/VR hardware and software such as Quest to power immersive computing. It monetizes primarily through advertising tools for businesses, with additional revenue from devices and services, and operates a massive global infrastructure. Founded in 2004 and headquartered in Menlo Park, California, Meta Platforms, Inc. is a public company traded on Nasdaq under the ticker META.