AI Solutions Architect / Copilot Developer
This role involves partnering with clients to identify AI-driven improvements, translating ambiguous requirements into actionable solutions using Microsoft Power Platform tools.
Business Area:
ITSeniority Level:
Mid-Senior levelJob Description:
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.
Cloudera IT is hiring a Cloud FinOps Practitioner to join our Cloud Operations team. This is a hands-on role at the centre of how Cloudera understands and manages what it spends on AWS, Azure, Google Cloud and AI services. You will turn billing data into clear insight, help engineering teams act on it, and build the automation that makes our FinOps practice faster and more accurate over time.
You will work alongside our Principal Cloud FinOps Lead and with engineers, architects, Finance and Procurement. It is a strong fit for someone early in their FinOps career who wants real ownership across a large multi-cloud estate, with room to grow.
As a Cloud FinOps Practitioner, you will:
We're excited about you if you have:
You may also have:
This role is not eligible for immigration sponsorship.
What you can expect from us:
Generous PTO Policy
Support work life balance with Unplugged Days
Flexible WFH Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement program
Access to Continued Career Development
Comprehensive Benefits and Competitive Packages
Employee Resource Groups
EEO/VEVRAA
#LI-RB1
#LI-REMOTE
This role involves partnering with clients to identify AI-driven improvements, translating ambiguous requirements into actionable solutions using Microsoft Power Platform tools.
Enable AI adoption across the organization by identifying and implementing use cases, configuring and supporting AI tools, training colleagues, and rolling out secure automations with business teams.
Administer SaaS platforms and build AI-enabled workflows and integrations, improving service reliability, automation and operational outcomes in partnership with engineering, security and business teams.
Build and deploy production AI solutions using Microsoft 365 Copilot, Copilot Studio, and Azure AI Foundry, partnering with client teams to turn business needs into secure, measurable tools.
As an AI Engineer, you will build AI agents and solutions that enhance engineering workflows, automate tasks, and improve team efficiency.