Job Summary
We are looking for an experienced AI Architect / AI Lead to design and lead the development of AI and Generative AI solutions. The ideal candidate should have strong experience in AI/ML, LLMs, cloud platforms, and enterprise AI architecture, along with the ability to work closely with business and technical teams.
Key Responsibilities
- Design scalable and secure AI/ML and Generative AI solutions for enterprise applications.
- Lead the architecture and development of LLM-based applications, AI agents, and RAG solutions.
- Evaluate and select appropriate AI models, frameworks, and cloud services.
- Develop solutions using technologies such as Python, LLMs, RAG, LangChain/LangGraph, APIs, and vector databases.
- Work with cloud platforms such as AWS, Azure, or Google Cloud Platform for deploying AI solutions.
- Lead technical discussions, architecture decisions, POCs, and production implementations.
- Collaborate with engineering, product, and business teams to identify and implement AI use cases.
- Establish best practices around AI security, scalability, performance, monitoring, and governance.
- Mentor developers and provide technical leadership to the AI team.
Required Skills
- Strong experience in AI/ML and Generative AI.
- Hands-on experience with LLMs, RAG, AI Agents, and Prompt Engineering.
- Strong Python programming experience.
- Experience with LangChain, LangGraph, or similar AI frameworks.
- Experience with Vector Databases such as Pinecone, Weaviate, Milvus, or FAISS.
- Experience with AWS, Azure, or Google Cloud Platform AI/ML services.
- Strong understanding of REST APIs, microservices, and cloud architecture.
- Experience designing and deploying AI solutions in production.
- Strong communication, leadership, and problem-solving skills.
Rate:
Not specified
Location:
Remote or Austin, Texas
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Senior