Generative AI Leader/Architect
Tiger Analytics Inc.9 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
About Tiger Analytics Inc.
Tiger Analytics Inc. provides data and AI consulting services that deliver machine learning, analytics, and cloud data engineering solutions for large enterprises across industries, including life sciences. The company engages on strategy and implementation projects, from modern BI and data platforms to MLOps, helping Fortune 100 clients turn data into business outcomes. Founded in 2011 and headquartered in Santa Clara, it is privately held with operations across North America, Europe, and Asia-Pacific.