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Generative AI Leader/Architect

18 hours, 59 minutes ago
United States
Full-time
Lead
AI Engineer
Software Development
Agile AWS CI/CD GCP Generative AI GitHub LLM Machine Learning Reinforcement Learning System Design Vertex AI VS Code
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Tiger Analytics

Tiger Analytics

Tiger Analytics is a leading advanced analytics consulting firm partnering with Fortune 100 companies to drive business value through expertise in marketing science, customer analytics, and operations analytics.

Professional Services
1K-5K
Founded 2011
View All Jobs 25

Description

  • Lead the architecture, design, and implementation of GenAI and agentic AI solutions for enterprise-ready 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 best practices for scalable, secure, and maintainable AI-powered application development.
  • Optimize AI feature performance, latency, and reliability in production environments.
  • Drive DevOps practices for continuous delivery and monitoring of AI-enabled services.
  • Mentor engineers and guide code reviews, architectural decisions, and technical standards.
  • Evaluate emerging GenAI tools and LLM frameworks and make build-versus-buy recommendations.
  • Oversee application-level development, testing, and deployment.
  • Support enterprise integration standards and healthcare-specific solution delivery.

Requirements

  • 10+ years of full-stack application engineering experience.
  • At least 2 years of experience leading cross-functional teams.
  • Experience architecting agentic AI systems using 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 or GCP, including SageMaker, Vertex AI, or Bedrock API.
  • 8+ years of AI/ML engineering experience with large-scale deployment expertise.
  • Proficiency in prompt engineering, including zero-shot and chain-of-thought techniques, and LLM evaluation.
  • Strong background in insurance or financial domains preferred.
  • Agile collaboration skills with proficiency in GitHub and VS Code.

Benefits

  • Opportunity for significant career development in a fast-growing entrepreneurial environment.
  • High degree of individual responsibility and ownership.
  • Equal employment opportunities regardless of protected characteristics.

Interested in this position?

Apply directly on the company website

Apply Now

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