Job Description
We are looking for an experienced GenAI Architect to design and implement scalable Generative AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI technologies.
Key Responsibilities
- Design and develop enterprise-level Generative AI architectures and solutions.
- Build and implement LLM-powered applications using OpenAI, Azure OpenAI, or AWS Bedrock.
- Architect and develop RAG pipelines, semantic search, and knowledge retrieval systems.
- Design Agentic AI workflows and multi-agent architectures.
- Develop AI solutions using Python, LangChain, LangGraph, and LlamaIndex.
- Integrate LLMs with enterprise applications, APIs, and databases.
- Implement vector databases and embedding models for efficient information retrieval.
- Optimize LLM performance, scalability, security, and cost.
- Establish AI governance, responsible AI practices, and security standards.
- Collaborate with engineering, data science, and business teams to deliver AI solutions.
Required Skills
- Strong experience in Generative AI, LLMs, and AI architecture.
- Hands-on experience with OpenAI, Azure OpenAI, AWS Bedrock, or Google Gemini.
- Strong expertise in RAG architecture and implementation.
- Experience with Agentic AI, Multi-Agent Systems, and AI orchestration.
- Proficiency in Python programming and REST APIs.
- Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks.
- Knowledge of vector databases such as Pinecone, FAISS, ChromaDB, or Weaviate.
- Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
- Knowledge of Docker, Kubernetes, CI/CD, and MLOps/LLMOps.
- Strong system design, architecture, and technical leadership skills.
Preferred Qualifications
- Experience implementing enterprise-scale GenAI applications.
- Knowledge of prompt engineering, model fine-tuning, and embedding techniques.
- Experience with AI security, guardrails, and model monitoring.
- Strong communication and stakeholder management skills.
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Senior