Generative AI Leader/Architect
Tiger Analytics Inc.7 months ago
Remote, United States or Dallas, TX, USAStaff+
Responsibilities
- Lead the architecture, design, and implementation of Generative AI and agentic AI solutions in production enterprise applications.
- Collaborate with AI/ML teams to operationalize models using APIs, embeddings, vector databases, and prompt engineering.
- Own full-stack development and integration of GenAI features into web and mobile applications.
- Establish scalable, secure, maintainable, and enterprise-compliant AI application development practices.
- Optimize AI feature performance, latency, and reliability in production.
- Drive continuous delivery, monitoring, testing, and deployment practices for AI-enabled services.
- Mentor engineers and guide code reviews, architectural reviews, technical decisions, and DevOps practices.
- Evaluate emerging GenAI tools and LLM frameworks and make build-versus-buy recommendations.
Requirements
- 10+ years of full-stack application engineering experience.
- At least 2 years of experience leading cross-functional teams.
- Experience architecting agentic AI systems with LangChain, LangGraph, CrewAI, and OpenAI Agentic SDK.
- Experience designing RAG architectures with hybrid search, vector databases, and knowledge graphs.
- Experience optimizing multi-agent workflows using reinforcement learning, dynamic orchestration, and memory management.
- Experience deploying scalable AI solutions on AWS and GCP, including SageMaker, Vertex AI, and Bedrock API.
- 8+ years of AI/ML engineering experience with large-scale deployment expertise is listed for the ideal candidate.
- Proficiency in prompt engineering and LLM evaluation.
- GitHub and VS Code proficiency.
- Insurance or financial-domain experience is preferred.
Benefits
- Remote workplace arrangement.
- Full-time role offering career development in a fast-growing, challenging entrepreneurial environment with significant individual responsibility.
Tech Stack
Categories