Staff AI Engineer
TELUS Digitalabout 3 hours ago
Responsibilities
- Define and own the architecture of AI-powered systems, ensuring scalability and performance.
- Design orchestration patterns for integrating LLMs with enterprise systems and APIs.
- Architect and standardize agentic AI systems, including multi-agent coordination.
- Establish architectural patterns for Model Context Protocol and agent interoperability.
- Define evaluation frameworks and governance models for AI systems.
- Lead decisions on model selection and system design trade-offs.
- Design data architectures to support AI systems and large-scale data processing.
- Ensure production readiness of AI systems through scalable deployment patterns.
- Collaborate with engineering, data, product, and operations teams.
- Act as a technical leader, communicating architectural decisions to stakeholders.
- Drive innovation by evaluating emerging technologies and frameworks.
Requirements
- Proven experience designing and deploying AI architectures, particularly in Generative AI.
- Strong background in building software platforms capable of API integration.
- Understanding of trade-offs between various generative AI models.
- Hands-on experience with function-calling and tools integration into LLM models.
- Experience with Agentic AI orchestration frameworks.
- Expertise in data embeddings and vector databases.
- Experience using CI/CD tools to streamline development workflows.
- Hands-on experience deploying software on leading cloud platforms.
- Experience leveraging evaluation frameworks to assess AI solutions.
- Understanding of performance optimization and observability platforms.
- Excellent skills in prompt and context engineering.
Benefits
- Health and dental plan.
- Life insurance.
- Monthly voucher for meals, culture, education, health, and mobility.
- Child care assistance.
- Flexible hours and autonomy for work-life balance.
- Opportunities for international travel.