Project Role Technology Architect Project Role Description Design and deliver technology architecture for a platform product or engagement Define solutions to meet performance capability and scalability needs Must have skills Python Programming Language Good to have skills CommerceTools Commerce Platform Minimum 5 year s of experience is required Educational Qualification 15 years full time education Summary Lead the engineering delivery of GenAI products Own technical decisions solution quality and team execution across front end back end and cloud AI services Mentor developers standardize patterns and ensure secure scalable deployments Roles Responsibilities - Translate business requirements into solution blueprints LLM selection RAG architecture data contracts API design - Own non functional targets latency scalability cost resilience and guide performance engineering - Establish coding standards for Python TypeScript enforce test coverage secure practices and review discipline - Design RAG pipelines at scale ingestion jobs metadata schema hybrid search embeddings re ranking - Decide cloud service mix and deployment topology across AWS Azure GCP optimize token cost with caching response shaping batching - Integrate observability logs traces metrics evaluation hallucination toxicity bias and responsible AI controls - Plan and run CI CD MLOps model config versioning feature flags canary blue green - Mentor engineers unblock delivery collaborate with architects product and security Qualified Technical Skills - Deep hands on Python system design for microservices REST graphql front end in React Angular - Proven LLM RAG solutioning retrieval strategies grounding sources prompt tool orchestration guardrails - Cloud design patterns - AWS Bedrock Lambda Step Functions SageMaker endpoints Kendra OpenSearch CloudWatch - Azure OpenAI Functions AKS Cosmos DB Azure AI Search Monitor Log Analytics - GCP Vertex AI Cloud Run BigQuery AlloyDB Vertex Search RAG - Security compliance OAuth2 OIDC secret rotation data residency PII handling prompt security - Performance cost engineering for LLMs token budgets context packing streaming - Experience leading multi agent systems workflow engines and event driven architectures Additional Information - Bachelor s Master s in CS Engineering or equivalent - Typically 10-14 years total experience 3-6 years in AI GenAI - Demonstrated team leadership across 6-12 engineers 15 years full time education