Generative AI Architect

Role & responsibilities

• 10+ years of IT experience, with 2+ years in generative AI, LLMs, or related AI/ML technologies.
• Advanced proficiency in Python, with ability to build modular APIs, pipelines, and orchestration frameworks.
• Hands-on expertise in at least one generative AI framework: LangChain, LangGraph, Google ADK, Azure AI Studio or AWS Bedrock and understanding of others.
• Experience integrating LLMs via APIs (OpenAI, Gemini, Hugging Face, etc.).
• Strong knowledge of RAG, embeddings, and vector databases.
• Familiarity with PEFT, LoRA, or prompt fine-tuning approaches.
• Cloud expertise in at least one hyperscaler (GCP, Azure, or AWS), with working knowledge of:
• GCP: Vertex AI, Document AI, BigQuery, AlloyDB, Cloud Run, IAM
• Azure: OpenAI Service, Cognitive Search, Azure ML, Azure Functions, Azure Identity
• AWS: Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, IAM
• Understanding of Docker/Kubernetes, CI/CD, and Git-based version control.
• Knowledge of REST APIs, JSON, and frameworks like FastAPI or Flask.
• Familiarity with data governance, security, and AI ethics.
• Strong problem-solving, project management, and communication skills.
• Ability to drive innovation and influence strategic decisions.