Find jobs
Pricing
Free Resume Checker
Blog
Sign in
Sign up
FIND JOBSPRICINGFREE RESUME CHECKERBLOGSIGN INSIGN UP
Tiger Analytics Inc.

Generative AI Leader/Architect

LocationDallas, Texas, United States
Typefull-time
SeniorityLead
Experience10+ yrs
DepartmentMLE
Company size5,001–10,000 people
PostedJan 26, 2026 · 8mo ago
Verified live3h ago
At a glanceSummarised by Seekless from the posting.
Must have6
10+ years of full-stack application engineering experience
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)
Nice to have4
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
Agile collaborator with GitHub/VS Code proficiency
Skills
Machine Learning
Data Science
AI
Generative AI
Large Language Models
Small Language Models
APIs
embeddings
vector databases
prompt engineering
OpenAI
LangChain
LangGraph
CrewAI
OpenAI Agentic SDK
RAG
hybrid search
knowledge graphs
reinforcement learning
AWS
GCP
SageMaker
Vertex AI
Bedrock API
GitHub
VS Code
About the company
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.
About the role
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.
Requirements
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.
•
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.
More roles at Tiger Analytics Inc.
Sr. Analytics ConsultantSr. Analytics ConsultantBusiness Analyst (Financial Crime Compliance)UI Path + Azure AI EngineersSr. Manager/ Associate Director - Engagement Lead (CPG/Retail)
Seekless
Seek less: one search across companies' own career pages, instead of a dozen job boards.
Product
Find jobsCompaniesPricingFree Resume Checker
Company
AboutBlog
Legal
PrivacyTermsCookies
© 2026 SEEKLESS. ALL RIGHTS RESERVED.BUILT WITH CARE