Applied AI Architect, Meta Enterprise Platform (London)

Requirements

  • 8+ years in technical customer-facing roles such as AI Architect, Solutions Architect, Sales Engineer, or Technical Account Manager
  • Experience engaging enterprise customers through the full sales lifecycle and deployment decisions with multiple stakeholders
  • Proficiency with cloud-native architectures (AWS, GCP, Azure), API design, data integration, identity, security, privacy, and enterprise integration
  • Knowledge of the Generative AI ecosystem, including APIs, prompt engineering, retrieval-augmented generation, vector databases, and evaluation frameworks
  • Strong communication skills for explaining complex AI concepts to executives, IT, engineering, and business stakeholders

Nice to Haves

  • Ability to integrate AI tools to optimize/redesign workflows with measurable impact
  • Experience with AI observability, evaluation frameworks, security guardrails, and responsible AI practices
  • Ongoing AI skill development and staying updated with emerging AI technologies
  • Knowledge of responsible, ethical AI practices including risk assessment and bias mitigation
  • Familiarity with enterprise security and compliance frameworks like SOC 2, ISO 27001, GDPR, FedRAMP, HIPAA
  • Experience architecting scalable AI/ML solutions and moving customers from evaluation to live deployments
  • Hands-on experience with AI APIs and frameworks such as LangChain or LangGraph to improve workflows

What You'll Be Doing

  • Partner with sales teams to conduct technical discovery and design AI solution architectures aligned with business needs
  • Maintain technical account plans reflecting use cases, adoption milestones, and value measurements
  • Serve as the primary technical advisor guiding AI and API adoption, architecture decisions, and enterprise integration
  • Design evaluation frameworks, demos, reference architectures, and proofs of concept tied to business goals
  • Address enterprise security, compliance, and governance to build confidence and accelerate deployment
  • Act as liaison between customers and internal Product, Engineering, and Marketing teams to inform roadmap and strategy
  • Create technical content, training materials, and reusable assets for sales and partner enablement
  • Lead customers through enterprise integration challenges from prototyping to production deployment
  • Contribute to organizational strategy by identifying patterns, setting goals, and coaching peers
  • Travel up to 30% for customer engagements, briefings, and enablement activities
AI Summary ✨

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