Generative AI Leader – Architect
Job Description:
• 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.
Requirements:
• 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).
• An Ideal Candidate would be of someone who has-
• 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
Benefits:
• This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
• Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
• 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.
Requirements:
• 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).
• An Ideal Candidate would be of someone who has-
• 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
Benefits:
• This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
• Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.