GenAI Architect

Skip to main contentJoin Talent NetworkSingle PositionWant to join our team?View All JobsHybridGenAI ArchitectMississauga,Ontario,CanadaApply NowFind out how well you match with this jobUpload your resumeJob descriptionCompany and benefitsJob ID783551Grow with us At this time, Ericsson Canada Inc. does not provide immigration assistance/sponsorship now or in the future for this position.About this opportunityAs 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.What you will doTurn 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.ou will join an enterprise AI architecture team focused on building and operationalizing GenAI solutions at scale. This team sits at the intersection of business, technology, and governance, partnering with:Product teams to identify and shape GenAI use cases.Engineering and platform teams to build and run solutions in production.Data teams to connect LLMs and agents with high-quality, governed data.Security, privacy, and compliance functions to ensure safe and responsible usage of AI. Join our Team What you bringWe are looking for someone with a strong mix of architecture, AI, and platform skills, as well as the ability to work across many teams and domains.Essential experience and skillsEnterprise 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 callingAgentic workflows and orchestrationHands-on experience with cloud platforms, including:Containers and Kubernetes (K8s)CI/CD pipelines and modern DevOps practicesStrong 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.Skills that can be learned in the roleSpecific 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.You naturally enjoy: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...