AI/ML Architect

Responsibilities Architect and deliver end-to-end AI-powered solutions for high-tech clients using GCP-native components and Agentic AI frameworksDesign scalable backend services using Python (FastAPI, Flask, or Django) and integrate them with LLMs and autonomous agent frameworks (LangChain, AutoGen, CrewAI)Define solution architectures leveraging GCP services such as Vertex AI, BigQuery, Cloud Functions, Pub/Sub, Cloud Run, and FirestoreLead the design and implementation of frontend applications using React, Angular, or Vue, ensuring seamless UX/UI integration with AI capabilitiesCollaborate with clients, product managers, and engineering teams to capture business requirements and convert them into technical roadmapsDrive technical workshops, POCs, and architectural reviews focused on AI/ML and cloud transformation strategiesImplement and optimize vector database integrations (e.g., Pinecone, Weaviate, FAISS) and embedding pipelines on GCPDefine and enforce best practices in cloud-native DevOps, microservices, and CI/CD automation using GCP tools like Cloud Build, Artifact Registry, and Cloud MonitoringProvide architectural guidance and mentorship to distributed engineering teams following Agile delivery models Required Skills 10+ years of experience in full stack architecture and software engineering, ideally in high-tech product or platform environmentsStrong hands-on experience with Python backend frameworks (FastAPI, Flask, Django)Hands-on experience with Agentic AI frameworks such as LangChain, AutoGen, or CrewAIDeep knowledge of LLM APIs (OpenAI, Claude, Gemini, Mistral) and prompt engineering strategiesSolid experience with GCP services including Vertex AI, BigQuery, Pub/Sub, Cloud Storage, Cloud Functions, and Cloud RunFamiliarity with vector databases and retrieval-augmented generation (RAG) pipelinesExpertise in REST, GraphQL, microservices architecture, and API gatewaysProficient in Docker, Kubernetes (GKE preferred), and CI/CD pipelines using Cloud Build or equivalentStrong communication skills and ability to engage with both technical and business stakeholdersExperience working with Agile methodologies and distributed delivery teams