AI DevOps and Cloud Infrastructure Engineer

Crowe

United States

United States

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À propos

divh2Your Journey at Crowe Starts Here/h2pAt Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, youre trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. Thats why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry./ppAbout Crowe AI Transformation/ppEverything we do is about making the future of human work more purposeful. We do this by leveraging state-of-the-art technologies, modern architecture, and industry experts to create AI-powered solutions that transform the way our clients do business./ppThe new AI Transformation team will build on Crowes established AI foundation, furthering the capabilities of our Applied AI / Machine Learning team. By combining Generative AI, Machine Learning and Software Engineering, this team empowers Crowe clients to transform their business models through AI, irrespective of their current AI adoption stage./ppAs a member of AI Transformation, you will help distinguish Crowe in the market and drive the firms technology and innovation strategy. The future is powered by AI, come build it with us./ppAbout the Team/pulliWe invest in expertise. Youll have the time, space, and support to go deep in your projects and build lasting technical and strategic mastery. Youll work with developers, product stakeholders, and project managers as a trusted leader and domain expert./liliWe believe in continuous growth. Our team is committed to professional development and knowledge-sharing./liliWe protect balance. Our distributed team culture is grounded in trust and flexibility. We offer unlimited PTO, a flexible remote work policy, and a supportive environment that prioritizes sustainable, long-term performance./li/ulpAbout the Role/ppThe AI DevOps and Cloud Infrastructure Engineer I (Senior Staff) designs, builds, and operates scalable, secure, and highly automated cloud environments that support the training, deployment, monitoring, and continuous delivery of AI and machine learning systems. This role serves as a subject-matter expert in infrastructure automation, distributed compute orchestration, and cloud platform operations, ensuring AI workloads perform reliably across development, staging, and production environments./ppThe engineer collaborates closely with AI engineering, MLOps, data engineering, platform, and security teams to define infrastructure requirements, improve observability, and support the performance demands of predictive and generative AI workloads. As a senior staff-level contributor, the role establishes best practices, evaluates emerging cloud and AI infrastructure tooling, and mentors junior engineers to advance DevOps maturity, reliability, and cost efficiency across the organization./pulliArchitecting and maintaining cloud infrastructure for AI model training, inference services, and distributed compute workloads./liliImplementing infrastructure-as-code (IaC) to automate provisioning, configuration, scaling, and lifecycle management of cloud resources./liliDesigning and operating CI/CD pipelines for automated model training, testing, and deployment of AI-enabled applications./liliOptimizing Kubernetes clusters, GPU utilization, and compute scaling strategies to balance performance, reliability, and cost./liliIntegrating AI models, inference endpoints, and data pipelines into cloud-native platforms./liliDeveloping monitoring, logging, alerting, and observability solutions using modern telemetry and tracing tools./liliTroubleshooting issues across networking, containers, compute, storage, and model-serving layers./liliLeading performance benchmarking, load testing, and reliability validation for AI systems./liliDocumenting infrastructure architectures, operational runbooks, and engineering standards./liliSupporting automation for dataset ingestion, model versioning, artifact management, and ML testing./liliEnsuring compliance with cloud security, identity management, encryption, and responsible AI guidelines./liliPartnering with security teams to implement secure networking, IAM policies, and secrets management./liliProviding technical mentorship, design reviews, and cloud best-practice guidance to junior engineers./liliEvaluating new cloud services, platform capabilities, and AI infrastructure tooling for adoption./li/ulpQualifications/pulli4+ years of experience in DevOps, cloud engineering, platform engineering, or infrastructure engineering./liliStrong proficiency with Kubernetes, Docker, and cloud orchestration platforms./liliDeep experience with CI/CD systems and deployment automation./liliDemonstrated ability to debug distributed systems and cloud networking issues./liliProficiency in Python, Bash, or other automation/scripting languages./liliStrong communication skills and ability to collaborate across engineering and security teams./liliWillingness to travel occasionally for cross-functional planning and collaboration./li/ulpPreferred Qualifications/pulliBachelors degree in Computer Science, Cloud Engineering, Information Systems, or a related technical field, or equivalent experience./liliMasters degree in a technical discipline./liliExperience enabling ML or AI workloads at scale in production environments./liliCloud and platform certifications, including Azure (AZ-900, AZ-104, AZ-305, AZ-700, AI-102) or equivalent AWS/GCP certifications./liliAdvanced experience with AWS (e.g., EKS, EC2, IAM, Lambda, SageMaker) and/or Azure (e.g., AKS, VMSS, Azure ML)./liliExperience with GPU orchestration and scaling strategies for AI workloads./liliExpertise with Terraform or other infrastructure-as-code frameworks./liliHands-on experience with observability stacks such as Prometheus, Grafana, CloudWatch, and OpenTelemetry./liliExperience deploying and operating generative AI workloads, including LLM inference autoscaling and RAG architectures./liliFamiliarity with vector database hosting (e.g., Pinecone, Weaviate, FAISS) and model-serving frameworks (e.g., Hugging Face TGI, vLLM, custom inference containers)./liliExperience building CI/CD pipelines for LLM fine-tuning workflows (e.g., LoRA, QLoRA, PEFT) and monitoring generative AI performance metrics such as latency, throughput, and hallucination rates./li/ulpWe expect the candidate to uphold Crowes values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times./ppThe application deadline for this role is 03/31/2026. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time./ppThe wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Crowe, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $74,100.00 - $147,800.00 per year./ppCrowe LLP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws./p/div

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