GenAI Architect & Engineering Lead - Production AI

Tiger Analytics; Dallas (TX); On-site; USD 150,000 - 200,000; Full time

Job summary

A fast-growing advanced analytics consulting firm is seeking a GenAI Architect with over 10 years of full-stack engineering experience. The ideal candidate will possess deep expertise in Generative AI and large language models while leading cross-functional teams. Responsibilities include the architecture and implementation of AI solutions, collaborating with AI/ML teams, and ensuring compliance with enterprise standards. The role offers significant career development in an entrepreneurial environment.

Qualifications

• 10+ years of full-stack application engineering experience, with at least 2 years leading cross-functional teams.
• 8+ years in AI/ML engineering with large-scale deployment expertise.
• Strong background in insurance/financial domains is preferred.

Responsibilities

• Lead the architecture, design, and implementation of GenAI/Agentic AI based solutions.
• Collaborate with AI/ML teams to operationalize models.
• Own full-stack development and integration of GenAI features.

Skills

Full-stack application engineering

Cross-functional team leadership

Generative AI expertise

Large Language Models proficiency

Prompt engineering

Agile collaboration

Tools

LangChain

OpenAI Agentic SDK

AWS

GCP

GitHub

VS Code

Job description

Tiger Analytics is looking for experienced GenAI Architect to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for a hands-on Engineering Lead with deep expertise in Generative AI (GenAI), Large Language Models (LLM) / Small Language Models (SLM) who can lead the design, development, and integration of AI-powered components into real-world, production-grade applications. This role demands strong engineering leadership and best practices, a practical approach to application development and system design with applied AI, fluency in modern AI tools, frameworks, cloud-native application stacks, and preferably knowledge of healthcare domain intricacies. You will lead the technical delivery of AI-powered features for a variety of horizonal and vertical healthcare use cases— all while ensuring compliance with enterprise integration standards.

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.

Requirements

• 10+ years of full-stack application engineering experience, with at least 2 years leading cross-functional teams.
• Architectagentic AI systemsusingLangChain/LangGraph, CrewAI, and OpenAI Agentic SDK
• DesignRAG architectureswith hybrid search, vector databases, and knowledge graphs
• Optimize multi-agent workflows usingreinforcement learning, dynamic orchestration, and memory management.
• Deploy scalable AI solutions onAWS/GCP(SageMaker, Vertex AI, Bedrock API).
• An Ideal Candidate would be of someone who has-
  8+ years inAI/ML engineeringwith large-scale deployment expertise.
  Proficient inprompt engineering(zero-shot, chain-of-thought) and LLM evaluation.
  Strong background ininsurance/financial domains(preferred)
  Agile collaborator withGitHub/VS Codeproficiency

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.