At Slalom, we co-create modern technology and software products with clients who are ready to accelerate their digital product development. We imagine how things can be made better, then set out to realize what’s possible—driving innovation with quality, resilience, and purpose. By blending design, product engineering, analytics, and automation, we build the custom-built software and data products of tomorrow.Job TitleAgentic AI Architect or Sr. Architect - Intelligence Engineering (For Vacant Role)MissionAs a Senior Architect or Architect in Intelligence Engineering, you’ll design and deliver innovative AI/ML and agentic AI solutions as part of intelligent products and automating / re-envisioning human workflows on Amazon Web Services, Azure, and Google Cloud. This includes architecting multi-agent systems, LLM-powered autonomous workflows, retrieval-augmented generation (RAG) pipelines, and enterprise-grade AI governance frameworks using cutting‑edge orchestration frameworks, tool‑use protocols, and cloud-native AI services. You’ll help clients move from isolated proofs of concept to secure, scalable, observable systems that create real business value, while helping craft projects in their initial phases and delivering them with a team.Who you’ll work withYou’ll join atightly knit product team—engineers, product leaders, designers, and data practitioners—whoco‑createmodern software with our customers. We move from discovery to delivery together, pairing on code, pressure‑testing ideas with real users, and turning learnings into ship‑ready increments. You’ll collaborate with customer stakeholders and field teams to bring outside‑in insights into the roadmap, and you’ll helpenable clientson the practices and tools we use so they can sustain value long after launch. Thinkcraft‑driven Builderswho care about outcomes, not just output.What you’ll doProvide thought leadership on AI/ML, Generative AI, and Agentic AI internally and with clients, while contributing to a culture of collaboration, learning, and curiosityDesign end‑to‑end agentic AI architectures including planning loops, memory management, tool integration, and agent coordination patternsArchitect multi‑agent orchestration systems using frameworks such as Strands Agents SDK, OpenAI Agents SDK, Google ADK, LangGraph or similar for autonomous reasoning, decision‑making, and task executionDesign and implement Model Context Protocol (MCP) server integrations for tool use, data access, and cross‑system interoperability with enterprise systemsBuild advanced retrieval‑augmented generation (RAG) systems including vector databases, embedding strategies, chunking optimization, hybrid search, re‑ranking, and multi‑source data synthesisDesign and deliver AI and ML solutions across AWS, Azure, and GCP, using the right mix combination of cloud‑native data services, ML tooling, LLM platforms, and software engineering practicesBuild in Python and, where helpful, other languages to deliver machine learning systems, APIs, evaluation harnesses, retrieval pipelines, agent workflows,



and production servicesRecommend and implement architecture for model and agent pipelines, CI/CD, testing, deployment, observability, and MLOps/LLMOps at scaleImplement evaluation frameworks (e.G., RAGAS, DeepEval, LangSmith) to measure task success rates, tool‑call accuracy, and reasoning integrity for GenAI systemsBuild guardrails for safety, compliance, and performance monitoring including human‑in‑the‑loop (HITL) approval workflows, escalation policies, and sandbox isolationDefine AI governance frameworks including model risk management, responsible AI practices, regulatory compliance, and authorization boundaries for autonomous decision‑makingExplain model and system behavior to both technical and non‑technical audiences, including leading deep technical presentations, workshops, and architecture conversationsCollaborate with Product Owners to apply Slalom’s agile process and lead the initiation, delivery, and transition of projects in a client‑facing roleLead and mentor engineers and machine learning practitioners. Lead smaller projects (3 to 5 people) as the technical lead from project initiation to deliveryBuild trusted relationships with customers and collaborate across Slalom teams to share learnings and strengthen the broader Intelligence Engineering practiceWill be delivery‑focused approximately 85–95% of the timeWillingness to travel up to 50%, at peak timesHybrid/In office: We are hybrid but there are expectations that if your team leader requires you onsite that you are able to meet those expectations/requirementsSlalom is committed to fair and equitable compensation practices. For the role, we are hiring at the following levels and targeted base pay salary ranges:Architect - CAD123,000 to CAD163,000Sr. Architect - CAD147,000 to CAD195,000In addition, there is potential for a 10% discretionary bonus for Architect, and 12% for Sr. Architect, based on individual and company performance. Actual compensation will depend upon individual’s skills, experience, qualifications, and other relevant factors.What you’ll do5+ years of software engineering experience building and deploying production systems; experience with machinelearning, applied AI, or intelligent software systems is a plus, with 2+ years focused on generative AI, LLMs, or agentic AI systemsHands‑on experience designing or building multi‑agent systems including agent orchestration, tool integration, and autonomous decision‑making workflowsProficiency with at least one agentic AI or workflow framework such as LangGraph, Strands, AutoGen, CrewAI, Semantic Kernel, OpenAI Agents SDK, Google ADK, or similarExperience with RAG architectures including vector databases, embeddings,



and retrieval optimization, and context management techniques such as chunking, summarization, and memory handlingExperience developing production‑ready solutions on at least one major cloud AI platform, such as AWS Bedrock, Azure AI Foundry/OpenAI Service, GCP Vertex AI/Gemini, or Databricks; experience operating and maintaining production environments is a plusExperience with AI‑assisted development tools such as Claude Code, Cursor, Kiro, or similar IDE‑based coding agents, including effective use for code generation, refactoring, debugging, and developer workflow accelerationStrong Python development skills; experience with FastAPI, Flask, or equivalent API frameworksExperience building ML or AI systems end to end, including data access, feature or retrieval flows, APIs, testing, deployment, and production supportFamiliarity with evaluation frameworks, tracing, observability, model behavior analysis, and regression testing for GenAI systemsUnderstanding of prompt engineering, LLM fine‑tuning, chain‑of‑thought reasoning, and structured output techniquesRecognized as an authority on at least one technical domain (e.G., Agentic Systems, RAG, Multi‑Agent Orchestration) with generalist familiarity across AI/ML techniquesAbility to work across new domains and unfamiliar data structures and lead exploratory analysis when requirements are not fully definedExcellent verbal and written communication skills; ability to lead highly technical presentationsFamiliarity with Agile project delivery(Preferred) Experience with Model Context Protocol (MCP) server development and integration(Preferred) Experience with MLOps/LLMOps pipelines, CI/CD for ML, and model monitoring/observabilityCulture & fun!Lunch & learnsHealth & wellness activitiesHoliday partiesEmployee community groupsSocial clubs & activitiesVacation (20 days prorated based on start date & wellness/sick days)Tangible perksCompetitive compensation package$100 cell phone monthly reimbursementRegistered Retirement Program (RRSP) & Employer MatchingTax‑Free Savings Account (TFSA)Family planning/ Fertility BenefitMaternity/Parental Leave Top‑UpMedical & Dental BenefitsLife and AD&D; InsuranceAccess to Supplementary Life and AD&D; InsuranceAccess to the Employee Assistance Program (EAP) and Inkblot TherapyAnd more!*All advantages are subject to eligibility requirementsSlalom is an inclusive, equal opportunity employer dedicated to building a diverse workforce. We encourage applications from all qualified candidates and will work to reasonably accommodate applicants’ needs throughout all stages of the recruitment and selection process. Please advise the talent acquisition team if you require accommodations during the interview process. At Slalom, we leverage artificial intelligence (AI) to enhance the efficiency and scalability of our recruitment process. To learn more about how we leverage AI please read our TA AI Usage policy here.Please note if you are hired at Slalom you will be required to complete a background check.#J-18808-Ljbffr

📌 Agentic Ai Architect - C$123,000 - C$195,000 A Year (Winnipeg)
🏢 Slalom
📍 Winnipeg