Principal Engineer – AI

🕒 Agosto 27

🏄 California, Florida, +3 estados a mais – Remoto

🏄 California – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🤠 Texas – Remote

💵 $112.200 - $209.000 / ano

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

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BMO U.S.

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

🛡️ Seguros

💼 Consultoria

📦 Logística

Insurance • Consulting • Logistics

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Descrição

• Build and operate core Enterprise AI Platform infrastructure, including the AI Gateway, Policy Engine, Identity Fabric, AI Registry, Guardrails Runtime, and AI Observability • Own platform capabilities end to end: design, implement, test, ship, and operate production infrastructure • Build, configure, harden, scale, enhance, and govern enterprise-grade platform capabilities • Develop a federated AI Registry with self-service onboarding, lifecycle workflows, and external registry federation • Engineer policy-as-code infrastructure, policy compilation and distribution, approval workflows, and policy simulation • Build telemetry pipelines, trace correlation, lineage-stamped traces, and a tamper-evident audit lake producing regulator-ready evidence • Implement certification workflows, compliance scoring, decommission governance, and evidence generation • Develop gateway runtime capabilities across AWS and Azure, including policy evaluation, routing, residency, budget/quota controls, circuit breaking, and cross-region failover • Build multi-stage guardrails for moderation, prompt-injection defense, PII, output validation, hallucination detection, policy enforcement, and agentic workload protections • Implement AI workload identity, token exchange, trust boundaries, Entra Agent ID integration, identity propagation, and cross-cloud token federation • Engineer operability and defensibility through instrumentation, SLOs, latency budgets, failure-mode planning, and runtime evidence • Build APIs, interfaces, and integrations for domains, DevOps pipelines, and enterprise systems • Assess emerging AI infrastructure, foundation-model access patterns, and standards to make cost-aware engineering choices • Set engineering standards, review designs and code, mentor team members, and grow technical depth • Partner with AI Developer Experience, AI Security, AI SDLC, and the Senior AI Architect • Participate in on-call operations for owned services

🎯 Requisitos

• Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline (Master's preferred) • 8+ years of software/platform engineering experience for Principal level, or 5+ years for Senior level • Substantial experience building and operating shared platform services at enterprise scale • Experience operating production infrastructure with real SLOs and on-call ownership • Experience in one or more of API gateways/traffic enforcement, policy-as-code and authorization, workload identity/zero-trust, observability and telemetry pipelines, or audit/compliance data platforms • Strong distributed-systems and platform-engineering fundamentals • Strong programming skills in Python and/or Go; TypeScript/Java an asset • Cloud-native architecture across AWS and Azure, including containers/Kubernetes, service mesh, and Infrastructure as Code (CDK, Terraform, CloudFormation/ARM) • Robust CI/CD, GitOps, and DevSecOps practice • Experience with Git-based workflows (Bitbucket/GitHub), Jira, and Confluence • Capability-specific depth in policy/authorization, identity/zero-trust, observability/audit, gateway/guardrails, or registry/portal technologies • Working knowledge of GenAI platform patterns, including LLM/AI gateways, RAG, agentic patterns, foundation models, embeddings, and guardrails • Familiarity with Bedrock, Azure OpenAI, SageMaker, MLflow, LangChain, and/or LlamaIndex • Grounding in Responsible AI, AI/data governance, privacy, cloud security, and IAM applied to AI workloads • Participation in an on-call rotation for owned services

🏖️ Benefícios

• Performance-based incentives • Discretionary bonuses • Health insurance • Tuition reimbursement • Accident insurance • Life insurance • Retirement savings plans • In-depth training and coaching • Manager support • Network-building opportunities • Tools and resources to reach new milestones • Reasonable accommodations for individuals with disabilities