GenAI Architect

As a GenAI Architect, you will help build and operationalize GenAI solutions across the enterprise. You will design and evolve architectures that bring large language models (LLMs) and agentic workflows into real business processes, making sure our stack is scalable, reliable, and compliant. You will collaborate closely with product, engineering, data, security, and platform teams to integrate GenAI capabilities with our tools, data, and platforms, and to ensure we deliver measurable value with the right guardrails in place.

Responsibilities

Collaborate closely with product, engineering, data, security, and platform teams to integrate GenAI capabilities with tools, data, and platforms; Turn ambiguous, open-ended problems into safe, scalable GenAI designs and reference architectures; Decide when to use prompting, RAG, tool/function calling, agents, or fine-tuning to solve a given use case; Integrate agents and LLM-based workflows with enterprise tools, systems, and data sources; Define and implement guardrails, security, privacy, and governance controls for GenAI solutions; Design for production-readiness: monitoring, reliability, performance, and operability from day one; Optimize latency, cost, and reliability for GenAI workloads running in production; Partner with platform teams to create reusable RAG/agent components that can be adopted across multiple use cases

Requirements

Enterprise and system architecture experience, ideally in complex, distributed environments; Strong knowledge of AI/GenAI/agentic AI expertise AND BSS/OSS/Orchestration domain knowledge; Solid understanding of LLM fundamentals and limits, including where they are and are not the right tool; Experience with production patterns such as Retrieval-Augmented Generation (RAG), tool/function calling, agentic workflows and orchestration; Hands-on experience with cloud platforms, including containers and Kubernetes (K8s), CI/CD pipelines and modern DevOps practices; Strong grounding in security, privacy, and governance, especially as applied to GenAI and LLMs; Background in APIs and distributed systems, including integration patterns for enterprise systems; Experience designing for monitoring, observability, and reliability of production systems

Nice to have

Specific model providers and their strengths/constraints; Different orchestration frameworks for LLMs, agents, and workflows; The particular business domains you will support; Fine-tuning and evaluation tooling, including how to measure and improve GenAI quality and safety; Tackling ambiguous, complex problems and shaping them into clear, scalable GenAI designs; Evaluating when to use prompting vs. RAG vs. fine-tuning and explaining those trade-offs to others; Integrating agents and LLMs with enterprise tools and data, not just demos or prototypes; Designing and implementing guardrails, evaluation frameworks, and controls to make AI safe and trustworthy; Continuously improving latency, cost, and reliability of GenAI solutions in real-world production environments

Benefits

Opportunity for annual bonus; Choice of 3 medical and dental plan options; Core level medical/dental coverage paid fully by Ericsson; Automatic 2% company contribution into Pension Plan; 50% match of employee RRSP contribution up to 8% of employee contribution (maximum 4% match); Basic life insurance and basic accidental death and dismemberment coverage at two-times annual base pay; Short-term disability coverage; Option to participate in Stock Purchase Plan; Minimum 18 days accrued vacation; At least 3 personal days; Minimum 10 holidays; 1 volunteer day; Sick days; Up to 10 weeks paid maternity leave and 6 weeks parental or adoption leave at 100% pay; Financial wellness programs; Educational assistance; Matching gifts; Wellness account; Recognition programs