AI/ML Architect

Responsibilities

• Architect and deliver end-to-end AI-powered solutions for high-tech clients using GCP-native components and Agentic AI frameworks
• Design 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 Firestore
• Lead the design and implementation of frontend applications using React, Angular, or Vue, ensuring seamless UX/UI integration with AI capabilities
• Collaborate with clients, product managers, and engineering teams to capture business requirements and convert them into technical roadmaps
• Drive technical workshops, POCs, and architectural reviews focused on AI/ML and cloud transformation strategies
• Implement and optimize vector database integrations (e.g., Pinecone, Weaviate, FAISS) and embedding pipelines on GCP
• Define and enforce best practices in cloud-native DevOps, microservices, and CI/CD automation using GCP tools like Cloud Build, Artifact Registry, and Cloud Monitoring
• Provide architectural guidance and mentorship to distributed engineering teams following Agile delivery models

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Required Skills

• 10+ years of experience in full stack architecture and software engineering, ideally in high-tech product or platform environments
• Strong hands-on experience with Python backend frameworks (FastAPI, Flask, Django)
• Hands-on experience with Agentic AI frameworks such as LangChain, AutoGen, or CrewAI
• Deep knowledge of LLM APIs (OpenAI, Claude, Gemini, Mistral) and prompt engineering strategies
• Solid experience with GCP services including Vertex AI, BigQuery, Pub/Sub, Cloud Storage, Cloud Functions, and Cloud Run
• Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines
• Expertise in REST, GraphQL, microservices architecture, and API gateways
• Proficient in Docker, Kubernetes (GKE preferred), and CI/CD pipelines using Cloud Build or equivalent
• Strong communication skills and ability to engage with both technical and business stakeholders
• Experience working with Agile methodologies and distributed delivery teams