Job Summary
LatentView Analytics is looking for a highly skilled GenAI Architect to design and build next-generation AI solutions powered by Generative AI, Agentic AI, Machine Learning, and LLMOps. The role involves architecting scalable AI systems, autonomous agents, multimodal applications, and enterprise-grade ML platforms to solve complex business problems.
Key Responsibilities
- Design and implement GenAI and Agentic AI architectures for enterprise applications.
- Build multi-agent systems using frameworks like LangGraph, AutoGen, and CrewAI.
- Develop and optimize ML, Deep Learning, and LLM-based solutions.
- Lead LLM fine-tuning, model optimization, and multimodal AI initiatives.
- Establish scalable MLOps and LLMOps pipelines using GitOps practices.
- Implement RAG, Knowledge Graph, and semantic search solutions.
- Collaborate with cross-functional teams to deliver production-ready AI systems.
Required Skills
- 10–15 years of experience in AI/ML architecture and engineering.
- Strong expertise in Generative AI, LLMs, Agentic AI, and Deep Learning.
- Hands-on experience with Python, PyTorch/TensorFlow, Hugging Face, LangChain/LangGraph.
- Experience in MLOps/LLMOps, Docker, Kubernetes, MLflow, and CI/CD pipelines.
- Strong understanding of RAG, vector databases, multimodal AI, and model optimization.
- Experience working with cloud platforms such as AWS, Azure, or GCP.
Join us to shape the future of AI-driven transformation at scale.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status
