GenAI Architect & Data Scientist

Who We Are

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.

UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you’ll create a boundless impact that transforms your career—and the lives of people across the world.

Visit us at UST.com.

You Are

We are seeking a GenAI Architect & Data Scientist to design and build intelligent, scalable AI systems with a strong focus on Natural Language Processing (NLP) and Generative AI-driven conversational experiences.

The Opportunity

GenAI & NLP Solution Design

• Design and architect Generative AI solutions leveraging large language models (LLMs).
• Build and optimize NLP pipelines for intent detection, entity extraction, sentiment analysis, summarization, and conversational understanding.
• Apply generative AI techniques to analyze, interpret, and automate complex language based interactions.
• Design scalable AI architectures that support multi channel conversational platforms (web, chat, voice, APIs).

Intent Design & Conversational AI

• Act as an Intent Designer by analyzing user behavior and business requirements to define clear intent hierarchies.
• Design accurate dialogue flows, fallback strategies, and contextual conversation handling.
• Improve conversational accuracy using prompt engineering, fine tuning, and retrieval augmented generation (RAG) patterns.
• Ensure conversational experiences are natural, explainable, and aligned with business goals.

Data Science & Model Development

• Develop, train, evaluate, and optimize machine learning and deep learning models for NLP use cases.
• Work with structured and unstructured data to derive insights and improve AI model performance.
• Perform feature engineering, experimentation, and model validation.

MLOps & Production Readiness

• Implement MLOps pipelines for model versioning, deployment, monitoring, and retraining.

What You Need

Core Technical Skills

• Strong expertise in Natural Language Processing (NLP).
• Hands on experience with Generative AI and Large Language Models (LLMs).
• Proven experience in Intent Design and conversational AI systems.
• Strong background in Data Science and Machine Learning.
• Experience implementing MLOps pipelines (CI/CD for ML, monitoring, governance).
• Proficiency in Python for data science and AI development.

Cloud & Platforms

• Hands on experience with Cloud AI platforms (AWS, Azure, or GCP).
• Experience deploying AI models at scale in cloud environments.

Conversational AI

• Experience building intelligent conversational experiences using: Intent classification, Dialogue flow design, Context management, Prompt engineering, RAG based architectures.

Good to Have (Preferred Skills)

• Experience with vector databases and semantic search.
• Knowledge of AI ethics, bias mitigation.

Benefits

Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), paid holidays, and are eligible for paid bereavement leave and jury duty. They and their dependents residing in Canada are eligible for Supplemental Healthcare coverage, as well as Company-paid Employee Only basic life insurance and accidental death and dismemberment coverage.

Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year). They and their dependents residing in Canada are eligible for Supplemental Healthcare coverage, as well as Company-paid Employee Only basic life insurance and accidental death and dismemberment coverage.

Part-time regular and temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).

All Canadian employees who work in a province, territory or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.

What We Believe

We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.

Humility: We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity: Through business, we will better the lives of those less fortunate than ourselves.

Integrity: We honor our commitments and act with responsibility in all our relationships.

An Equal Opportunity Workplace, Free of Discrimination and Harassment

At UST, we strive to provide a work environment free of discrimination and harassment. We are an equal opportunity employer and employment decisions are based on merit and business needs. Our Human Rights Policy further illustrates our stand on this. We are committed to following fair employment practices that provide equal opportunities to all employees. We do not discriminate or allow harassment on the basis of race, color, religion, disability, gender, national origin, sexual orientation, gender identity, gender expression, age, genetic information, military status, or any other legally protected status. At UST, we value diversity and believe that a diverse workplace builds a competitive advantage.

Accommodation

Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process. If you require accommodations at any point during the recruitment process, please let a member of our recruiting team know.

Key skills/competency

• Generative AI
• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• Conversational AI
• Data Science
• Machine Learning
• MLOps
• Prompt Engineering
• Cloud AI Platforms (AWS, Azure, GCP)
• Python