Role descriptionGen AI ArchitectBlueVerse, an enterprise AI unit of LTM, seeks a Gen AI Architect to design and operationalize enterprise‑grade GenAI capabilities.Role OverviewAs a Gen AI Architect, you will design production‑ready AI solutions that combine LLM reasoning, retrieval, orchestration, and enterprise controls to deliver trustworthy business outcomes. You will work across architecture, product, and engineering teams to move GenAI features from concept to robust implementation, focusing on quality, safety, performance, maintainability, and explicit operational ownership.You will collaborate with field and client‑facing teams to shape high‑value use cases, build rapid proofs‑of‑value, and convert successful pilots into production‑ready MVP plans that scale with governance, observability, and measurable business impact.Key ResponsibilitiesGenAI Architecture and DesignDesign solution patterns for enterprise GenAI use cases including copilots, autonomous task agents, decision support systems, and workflow automation across multiple business domains.Define architecture for model routing, prompt strategy, grounding, memory handling, and tool orchestration with explicit design choices for reliability and cost control.Establish patterns for secure integration of enterprise data APIs and workflow systems into GenAI applications without compromising governance and data boundaries.Ensure designs support explainability, policy enforcement, and operational observability to enable diagnosis and continuous improvement.Productionization and QualityBuild and guide the implementation of evaluation frameworks for accuracy, relevance, safety, hallucination control, latency, and consistency across release cycles.Partner with platform engineering to standardize reusable components for prompt templates, guardrails, telemetry, fallback logic,



and controlled rollout mechanisms.Create practical evaluation harnesses for task success, policy compliance, tool‑call reliability, and cost‑latency trade‑offs to compare baseline versus PoV improvements.Contribute to performance and cost optimization across model and infrastructure choices through benchmark‑driven architecture decisions.Create reference implementations that can be reused across domains and client deployments, reducing setup time and implementation risk.Field‑to‑Platform ExecutionPartner with client‑facing and delivery teams to translate business problems into measurable outcome hypotheses and technically feasible, narrow PoV scopes.Define agentic blueprints covering agent roles, orchestration patterns, knowledge strategy, guardrails, observability, and human‑in‑the‑loop escalation.Produce clean handoffs to delivery squads with MVP backlogs, architecture decisions, and production controls such as identity, audit/logging, and fallback design.Design for enterprise integration across client ecosystems and major platforms while preserving security, privacy, and compliance boundaries.Governance and EnablementEmbed responsible AI and governance controls into architecture patterns from day one, including traceability, guardrail coverage, and intervention pathways.Support risk and compliance teams with design artifacts required for enterprise approvals, audits, and production readiness reviews.Document technical standards and best practices for GenAI development across BlueVerse teams and keep them current with platform evolution.Mentor engineers and solution teams on scalable GenAI architecture approaches through design reviews and practical implementation guidance.Innovation and PlatformDrive continuous innovation in GenAI solutions and platform capabilities, sharing learnings across the organization.SkillsMandatory: GenAI – LLMOpsBenefitsCompensation range: $81,325.00 to $125,000.00 per year#J-18808-Ljbffr

📌 Senior Specialist - Data Sciences - $81,325 - $125,000 A Year (Winnipeg)
🏢 BlueVerse
📍 Winnipeg