UI Path + Azure AI Engineers

Tiger Analytics Inc.; United States; On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Career development

Entrepreneurial environment

Job summary

Tiger Analytics is seeking an AI Engineer to drive on-site deployment, integration, and scaling of enterprise Generative AI solutions. You will embed within customer engineering teams to operationalize LLMs and retrieval systems across Azure, bridging research and production.

You will collaborate with cross-functional teams to ensure business value and communicate outcomes. The role emphasizes hands-on automation engineering, SDLC adherence (Agile/Scrum), and working with modern ML/AI frameworks

Qualifications

• 7+ years of industry experience in software engineering, machine learning, or AI-focused roles.
• Strong hands-on experience with LangGraph and building agentic workflows.
• Proven experience in fine-tuning LLMs, including supervised fine-tuning and reinforcement learning-based methods.
• Strong background in experimental design, model evaluation, and statistical analysis.
• Demonstrated ability to reduce hallucinations using techniques beyond creative prompting.
• Proficiency in Python and experience with modern ML/AI frameworks.

Responsibilities

• Deploy, integrate, and scale enterprise Generative AI solutions on-site within customer engineering teams.
• Operationalize Large Language Models (LLMs) and retrieval systems across Azure cloud.
• Bridge AI research and production-grade cloud infrastructure to deliver business value.
• Collaborate with cross-functional teams and business partners to shape strategy and communicate results.

Skills

LangGraph

Agentic workflows

Python

ML frameworks

Tools

UiPath

Azure AI tools

Visio

Lucidchart

Signavio

Bizagi

Job description

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview

The AI Engineer drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across Azure as cloud. You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

• Requirements Expertise: Proven track record of producing clear, precise, and structured requirement documents (PDD, SDD, User Stories).
• UiPath Familiarity: Working understanding of the UiPath ecosystem (Studio, Orchestrator, Document Understanding, Action Center).
• Azure AI & AI Concepts: Familiarity with Azure AI concepts
• Automation Engineering: Strong grasp of software automation principles, API integrations, software development lifecycle (SDLC) methodologies (Agile/Scrum), and system architecture basics.
• Process Mapping: Proficiency in process mapping tools (e.g., Microsoft Visio, Lucidchart, Signavio, or Bizagi).

Required Qualifications

• 7+ years of industry experience in software engineering, machine learning, or AI-focused roles.
• Strong hands-on experience with LangGraph and building agentic workflows.
• Proven experience in fine-tuning LLMs , including supervised fine-tuning and reinforcement learning-based methods.
• Strong background in experimental design , model evaluation, and statistical analysis.
• Demonstrated ability to reduce hallucinations using techniques beyond creative prompting.
• Proficiency in Python and experience with modern ML/AI frameworks.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and 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.