AI Architect

We are looking for an AI Architect to define and drive the technical vision for AI-powered solutions. The role will be responsible for designing end-to-end AI architectures that are scalable, secure, and production-ready.

Requirements

• Expertise in agentic AI and multi-agent orchestration
• Build AI evaluation frameworks with metrics, benchmarks, and QA for non-deterministic systems
• Proficiency in prompt engineering, management, and security
• Ensure reliable model serving, GPU optimization, and cost-aware inference
• Design end-to-end solutions across frontend, backend, data, and AI layers
• Master distributed systems, event-driven architectures, and microservices
• Develop AI data architecture (modeling, pipelines, governance)
• Design API patterns (REST, GraphQL, gRPC) for robust AI service integration
• Address security with threat modeling, responsible AI, data privacy, and compliance
• Maintain expert-level Azure/AWS/GCP cloud architectures
• Leverage AI managed services (Bedrock, SageMaker, Vertex AI, Azure OpenAI)
• Use serverless and container patterns (ECS/EKS, Cloud Run, Lambda)
• Build vector/search infrastructure (Pinecone, Weaviate, pgvector, OpenSearch)
• Apply Infrastructure as Code (Terraform, CDK, Pulumi) and GitOps
• Focus on AI FinOps and cost optimization
• Excel in Python for prototyping, review, and critical decisions
• Use TypeScript/JavaScript for full-stack design
• Employ AI frameworks (Semantic Kernel, AgentCore, etc)
• Ensure AI observability—tracing, logging, monitoring, and drift detection
• Lead technical teams and mentor engineers
• Communicate complex concepts to non-technical stakeholders
• Run architecture reviews, design workshops, and governance

Benefits

• Social events
• Chill-out spaces
• Remote working
• Flexi-hours
• Professional development courses