AI Architect

Your Journey at Crowe Starts Here:

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re 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.

That’s 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.

Everything 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.

The new AI Transformation team will build on Crowe’s 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.

As a member of AI Transformation, you will help distinguish Crowe in the market and drive the firm’s technology and innovation strategy. The future is powered by AI, come build it with us.

• We invest in expertise. You’ll have the time, space, and support to go deep in your projects and build lasting technical and strategic mastery. You’ll work with developers, product stakeholders, and project managers as a trusted leader and domain expert.
• We believe in continuous growth. Our team is committed to professional development and knowledge‑sharing.
• We 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.

The AI Architect I (Manager) designs, governs, and evolves end‑to‑end architectural solutions that enable scalable, secure, and high‑performance AI systems across the enterprise. This role partners closely with engineering, data, cloud infrastructure, security, and product teams to define technical standards, integration patterns, and frameworks that operationalize predictive and generative AI capabilities. As a manager‑level architect, the role leads solution design, mentors technical staff, facilitates architecture reviews, and ensures responsible AI, security, and governance standards are consistently applied to support a future‑ready AI ecosystem.

• Architect end‑to‑end AI solutions, including model training pipelines, inference platforms, retrieval‑augmented generation (RAG) systems, and cloud ML platforms.
• Lead cross‑functional architecture and design reviews to ensure alignment with enterprise architecture standards and business objectives.
• Collaborate with AI engineering, MLOps, Dev Ops, data engineering, and security teams to define scalable, secure, and reusable technical patterns.
• Design model‑serving and inference architectures optimized for latency, throughput, reliability, scalability, and cost efficiency.
• Define integration patterns for large language models (LLMs), vector databases, APIs, microservices, and event‑driven workflows.
• Establish and document architectural standards, reference architecture, diagrams, and decision records for enterprise adoption.
• Provide guidance on cloud architecture, Kubernetes‑based ML platforms, GPU capacity planning, and AI infrastructure modernization.
• Embed responsible AI, data governance, compliance, and security requirements into solution designs and architecture artifacts.
• Partner with security teams to assess technical risk and mitigate AI‑specific vulnerabilities.
• Mentor senior engineers and contribute to technical skill development across teams.
• Evaluate emerging AI platforms, frameworks,…