What are the responsibilities and job description for the Generative AI Leader/Architect position at ChatGPT Jobs?
Job Description
Generative AI Leader/Architect
Company: Tiger Analytics Inc.
Location: Dallas, TX
Posted: 12 hours ago
Job Description
Tiger Analytics is seeking a GenAI Architect with expertise in Generative AI (GenAI), Large Language Models (LLM) / Small Language Models (SLM). The role involves leading the design, development, and integration of AI-powered components into real-world, production-grade applications, application development and system design with applied AI, fluency in modern AI tools, frameworks, cloud-native application stacks.
Responsibilities
Opportunity for career development in a fast-growing entrepreneurial environment.
Generative AI Leader/Architect
Company: Tiger Analytics Inc.
Location: Dallas, TX
- Remote
Posted: 12 hours ago
Job Description
Tiger Analytics is seeking a GenAI Architect with expertise in Generative AI (GenAI), Large Language Models (LLM) / Small Language Models (SLM). The role involves leading the design, development, and integration of AI-powered components into real-world, production-grade applications, application development and system design with applied AI, fluency in modern AI tools, frameworks, cloud-native application stacks.
Responsibilities
- Lead the architecture, design, and implementation of GenAI/Agentic AI based solutions into real-world enterprise-ready applications.
- Collaborate with AI/ML teams to operationalize models using APIs, embeddings, vector databases, and prompt engineering techniques.
- Own full-stack development and integration of GenAI features into web/mobile applications.
- Establish best practices for scalable, secure, and maintainable AI-powered application development.
- Optimize application performance, latency, and reliability of AI features in production.
- Drive DevOps practices for continuous delivery and monitoring of AI-enabled services in production.
- Mentor engineers and guide code reviews, architectural decisions, and DevOps practices.
- Guide engineering teams in code quality, architectural reviews, and technical mentoring.
- Evaluate emerging GenAI tools and LLM frameworks (OpenAI, LangChain etc.) and make build-vs-buy recommendations.
- Oversee application-level development, testing, and deployment.
- 10 years of full-stack application engineering experience, with at least 2 years leading cross-functional teams.
- Architect agentic AI systems using LangChain/LangGraph, CrewAI, and OpenAI Agentic SDK
- Design RAG architectures with hybrid search, vector databases, and knowledge graphs
- Optimize multi-agent workflows using reinforcement learning, dynamic orchestration, and memory management.
- Deploy scalable AI solutions on AWS/GCP (SageMaker, Vertex AI, Bedrock API).
- 8 years in AI/ML engineering with large-scale deployment expertise.
- Proficient in prompt engineering (zero-shot, chain-of-thought) and LLM evaluation.
- Strong background in insurance/financial domains (preferred)
- Agile collaborator with GitHub/VS Code proficiency
Opportunity for career development in a fast-growing entrepreneurial environment.