Staff AI Engineer (conversational Analytics) - Remote Eligible

Staff AI Engineer (Conversational Analytics)

Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada's largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.

With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.

From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.

Location and Flexibility

This role can be fully remote for candidates based in the states of São Paulo and Rio Grande do Sul as well as in the cities of Rio de Janeiro, and Belo Horizonte, due to team distribution and occasional in-person opportunities. If you are based in São Paulo or Porto Alegre, you are welcome to work from one of our offices on a flexible schedule.

The Opportunity

TELUS Digital seeks Senior AI Engineer with deep expertise in Conversational AI, Natural Language Processing (NLP), Generative AI, and Cloud-native ML systems and strong Leadership Skills. This role is ideal for someone who thrives at the intersection of technical execution, product impact, and cross-functional leadership. You will lead end-to-end AI solution development — from initial requirements gathering and stakeholder alignment to model deployment, visualization, and storytelling.

You'll work with cutting-edge LLMs, design production-grade NLP systems, and deploy scalable AI applications on the Google Cloud Platform (GCP). This includes leveraging tools like Vertex AI, Dialogflow, Kubernetes (GKE), and vector databases to build secure, high-impact solutions.

Responsibilities

• Own the full AI solution lifecycle: gather requirements, define success metrics, prototype models, validate results, and deploy solutions to production.
• Build and optimize vector search and retrieval-augmented generation (RAG) systems, leveraging vector databases for advanced GenAI applications.
• Architect and operationalize ML workflows using Vertex AI, GKE, and related GCP tools.
• Build secure and scalable web applications or AI interfaces using frameworks such as Streamlit, Dash, Gradio, Flask, or similar tools for end-user interaction and insight delivery.
• Develop clear, audience-specific visualizations and dashboards to communicate complex AI outcomes to technical and non-technical stakeholders.
• Champion ML best practices, including governance, CI/CD pipelines, monitoring, and reproducibility.
• Mentor junior team members and lead technical reviews and architectural discussions.
• Engage regularly with product owners, domain experts, and executive stakeholders to align AI solutions with strategic objectives.

Qualifications

Leadership & Collaboration:

• Demonstrated success leading technical projects, cross-functional collaboration, and mentoring team members.
• Strong communication skills to interface with stakeholders at all levels—technical and business alike.

Programming & ML:

• Advanced Python proficiency and deep experience with libraries such as PyTorch, TensorFlow, HuggingFace Transformers.

NLP & GenAI and Conversational AI:

• Expertise in classical NLP tasks: text classification, sentiment analysis, entity recognition, topic modeling.
• Experience with LLM fine-tuning, prompt engineering, and deployment of Generative AI systems.

Cloud Platforms:

• Hands-on experience with GCP, including Vertex AI, Cloud Functions, Dialogflow, and GKE.
• Familiarity with cloud architecture, security best practices, and cost optimization.

Vector Database Proficiency:

• Designing and implementing solutions using vector search engines and embedding stores.

Visualization & Storytelling:

• Ability to transform data insights into compelling narratives and clear visuals using tools such as Looker or equivalent.

Why TELUS Digital?

At TELUS Digital, you'll work with world-class brands like FOX, HBO, PepsiCo, and Domino's, building transformative digital products that impact millions. Our global reach allows you to collaborate with diverse, international teams, solving complex problems and delivering tech-driven solutions that matter. We thrive on engineering excellence, using the latest technologies in cloud computing, AI, machine learning, DevOps, microservices architecture, and data engineering. Our teams embrace Agile methodologies, continuous integration and deployment (CI/CD) pipelines, and a DevOps-first mindset to deliver solutions at scale. In addition to being part of an international and innovative consultancy company, you will have:

• A Global Innovation Hub: Be part of an international consultancy at the forefront of technology
• Work-Life Harmony: Enjoy flexible hours and autonomy to balance your professional and personal life
• Cutting-Edge Tech Playground: Dive into the latest technologies and shape the future of digital solutions
• Prestigious Partnerships: Collaborate with world-renowned brands, making a real impact in the market
• Growth-Centric Environment: Thrive in our collaborative ecosystem with a clear career development path
• Global Exposure: Embrace optional international travel opportunities to broaden your horizons

Some of our benefits:

• Health and dental plan
• Life insurance
• Monthly voucher for meals, culture, education, health and mobility
• Child care assistance and more!

Equal Opportunity Employer

At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants' qualifications, merits, competence and performance without regard to any characteristic related to diversity.

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