Generative AI Architect

Key Responsibilities

• Architect and implement enterprise‑grade Generative AI solutions using LLMs (e.g., OpenAI, Anthropic, Cohere, Amazon Titan)
• Design, test, and optimize Prompt Engineering strategies for use cases including summarization, Q&A, classification, and content generation
• Develop and deploy Retrieval‑Augmented Generation (RAG) pipelines integrating vector databases (Amazon OpenSearch, Pinecone, FAISS) with LLMs
• Leverage AWS Bedrock to build, manage, and scale foundation model–driven applications
• Implement cosine similarity–based semantic search and ranking for documents and embeddings
• Collaborate with data scientists, ML engineers, and product teams to embed Gen AI into existing platforms and workflows
• Ensure scalability, performance, reliability, and security of Gen AI applications in cloud‑native environments
• Stay current with emerging Gen AI technologies, tools, architectures, and best practices

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field
• 8+ years of experience in AI/ML, with 3+ years focused on Generative AI and LLMs
• Strong understanding of LLM architectures, fine‑tuning techniques, and inference optimization
• Proven hands‑on experience with Prompt Engineering and prompt chaining methods
• Demonstrated experience building RAG‑based applications using vector databases and embedding models
• Proficiency with AWS AI/ML services including Bedrock, SageMaker, Lambda, S3, IAM, and related tools
• Experience with cosine similarity, semantic search, and embedding models (e.g., Sentence Transformers)
• Strong development skills in Python, with experience using LangChain, Hugging Face Transformers, and RESTful APIs
• Excellent communication, collaboration, and technical leadership skills

Preferred Qualifications

• Experience delivering Gen AI solutions in large enterprise or consulting environments
• Background designing AI systems for regulated or security‑sensitive domains
• Experience leading architecture decisions and mentoring technical teams