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Tiger Analytics
Tiger Analytics

60 Tiger Analytics Full Stack Software Engineer Jobs Hiring Near You

Tiger Analytics Inc.

Lead Data Engineer - AWS

Dallas, TX · On-site +1

$101K - $133K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... Modern Data Stack: Manage large-scale data lakehouses leveraging Amazon S3, AWS Lake Formation, and ...

Tiger Analytics Inc.

Lead Data Engineer - AWS

Dallas, TX · Remote

$104K - $138K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... Modern Data Stack: Manage large-scale data lakehouses leveraging Amazon S3, AWS Lake Formation, and ...

Tiger Analytics Inc.

Lead Data Engineer - AWS

Dallas, TX · On-site

$101K - $133K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... Modern Data Stack: Manage large-scale data lakehouses leveraging Amazon S3, AWS Lake Formation, and ...

Tiger Analytics Inc.

Machine Learning Engineer

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 ... Requirements * 5+ years of professional software development experience, with strong proficiency in ...

Tiger Analytics Inc.

Lead AI Engineer

$104K - $138K/yr

Tiger Analytics is seeking a highly experienced Lead AI Engineer to lead the end-to-end AI ... Qualifications * 10-15+ years in software engineering with 5+ years leading AI/ML engineering teams

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Tiger Analytics Jobs Information

What is it like to work at Tiger Analytics?

Tiger Analytics is a data science and analytics firm that values collaboration, innovation, and continuous learning, fostering a dynamic and supportive work environment.

The company has a flat organizational structure, allowing for open communication and cross-functional teamwork among its data scientists, engineers, and consultants. Tiger Analytics' mission is to drive business growth through data-driven insights, and its projects often involve working with cutting-edge technologies and methodologies.

Working at Tiger Analytics may appeal to candidates who are passionate about data science and analytics, as the company offers opportunities to work on diverse projects, develop new skills, and contribute to the growth of its clients, with a focus on delivering high-quality results and making a meaningful impact.

What makes Tiger Analytics an attractive place to work?

Tiger Analytics is a leading data science and analytics consulting firm that has established itself as a trusted partner for businesses seeking to drive growth and innovation through data-driven insights. The company fosters a collaborative and innovative work environment, where employees can engage in cutting-edge projects, develop new skills, and work with a diverse team of experts. By joining Tiger Analytics, professionals can gain valuable experience, contribute to impactful projects, and enjoy opportunities for growth and professional development in a dynamic and supportive organization.
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Infographic showing various Full Stack Software Engineer job openings at Tiger Analytics in the United States as of August 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 69% Physical, and 31% Remote job distribution.

Generative AI Leader/Architect

Tiger Analytics Inc.

Dallas, TX • On-site, Remote

Full-time

Re-posted 14 days ago

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.
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.

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