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TELUS Digital
St. Louis, Missouri, United States
Source: TELUS Digital careers · View original posting
From TELUS Digital's posting. “We” and “our” refer to the employer.
Who We Are
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, Africa, and APAC, we offer end-to-end expertise across various service offerings: Web, Mobile & Digital Marketing | Enterprise AI | Customer Care AI & Technology | Enterprise Technology Modernization
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.
We are establishing how AI is used in software development across our engineering organization. This person defines the standards, guardrails, and working practices that let our development teams build with AI agents safely, consistently, and at speed.
This is a hands-on technical leadership role. You will spend part of your time with business and engineering leaders shaping standards, and part of it in the codebase with delivery teams making those standards real. It is not a purely advisory or architecture- review position.
You don't need to have owned this at organizational scale before. You do need to have worked this way yourself and understand the concepts well enough to build on them.
Core (must have)
Hands-on experience working with spec-driven development
, and practical familiarity with industry-standard tooling in this space — Kiro, GitHub Spec Kit, or equivalents.
Direct experience with steering documents, constitutions, and agent guardrails
— whether you authored them or worked within them, you understand what belongs in them and why.
Solid working experience with agentic AI
— building, integrating, or operating AI agents, not just using AI chat tools.
Broad understanding of current AI technologies and how they apply to software delivery.
Enough technical leadership to carry a room of stakeholders and a pull request with equal credibility.
Also required (secondary to the above)
Strong
Java and Spring background.
Experience designing and building microservices in production.
Nice to have
Experience defining or rolling out AI development standards across multiple teams or an entire engineering organization.
Experience driving adoption of a new way of working against initial team resistance.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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