Applied AI Architect, Meta Enterprise Platform (London)
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