Director, Cloud AI Platform Engineering

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM. Role overview The Cloud AI Platform Engineer builds and runs the cloud platforms that let mid-market clients put AI into production safely. You will design AI landing zones, deploy model and agent infrastructure, and harden vibe-coded and custom AI apps so they scale. You’ll join RSM's MCI (Managed Cloud & Infrastructure) Cloud practice, serving companies with $200M–$4B in revenue. You will work beside our Cloud Solutions Architects: together you will shape the solution; you build, automate, and operate it. Much of your work will be carried into RSM's Managed IT Services (MITS) as Managed AI and Managed Cloud, often as a Forward Deployed Engineer embedded with client IT teams. Key responsibilities Platform build Design and deploy AI landing zones on Azure and AWS: networking, identity, policy, logging, and private endpoints. Stand up model platforms: Azure AI Foundry / Azure OpenAI, Amazon Bedrock, and SageMaker; integrate Anthropic, OpenAI, and open-weight models. Build infrastructure for RAG and agents: vector stores, orchestration, MCP servers, and API gateways. Codify everything in Terraform or Bicep, delivered through CI/CD pipelines. Hardening and scaling Take vibe-coded and prototype AI apps to production: containerize, add auth, secrets management, testing, and observability. Implement AI guardrails: content filtering, prompt-injection defenses, data loss prevention, and least privilege access. Align controls to client security baselines, Microsoft Purview, and frameworks such as NIST AI RMF and ISO 42001. Operations and FinOps Run LLMOps: model versioning, evaluation, monitoring, drift and quality alerts, and incident response. Instrument token and GPU consumption; build chargeback, quotas, and caching to control AI spend. Transition platforms into MITS run-state with runbooks, SLAs, and handoff to shared or dedicated teams. Client advisory Scope platform work, estimate effort, and contribute to SOWs and assessments. Explain trade-offs in plain language to CIOs, CISOs, and engineering leads. Contribute reusable accelerators, reference architectures, and the firm's vibe-coding harness. Required qualifications 5+ years in cloud, platform, or DevOps engineering; 1+ year deploying generative AI workloads in production. Hands-on depth in Azure or AWS, with working knowledge of the other. Infrastructure as code (Terraform or Bicep) and CI/CD (GitHub Actions or Azure DevOps). Containers and orchestration: Docker, Kubernetes (AKS or EKS), or serverless equivalents. Python plus one of TypeScript or Go. Cloud identity and security: Entra ID or IAM, Key Vault or Secrets Manager, private networking. Observability tooling such as Azure Monitor, CloudWatch, Datadog, or OpenTelemetry. Client-facing experience in consulting or a managed services provider. Ability to travel to client sites up to 25%. Preferred qualifications Bachelor's degree in a technical field or equivalent experience. Certifications: Azure AI Engineer Associate (AI-102), Azure Solutions Architect Expert, AWS Certified Machine Learning or GenAI Developer, HashiCorp Terraform Associate, FinOps Certified Practitioner. AI gateway and LLMOps tools: Azure API Management AI gateway, LiteLLM, LangSmith, Langfuse, or MLflow. Agent frameworks and protocols: Semantic Kernel, LangGraph, Bedrock Agents, MCP. Microsoft 365 Copilot, Copilot Studio, and Purview data governance. GPU capacity planning and cost management. Experience with mid-market clients and PE-backed portfolio companies. At RSM, we offer a competitive benefits and compensation package for all our people. Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits . We believe flexibility and in-person connection both play an important role in how we work and grow. Most roles at RSM follow a hybrid workstyle, which means team members are aligned to an RSM office and come together in person when it best supports clients, teams, development or relationship-building. Some roles may be virtual or primarily on-site based on role requirements, team priorities and client needs. All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender; sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law.  Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at [email protected] . RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a r