AI Solutions Engineer - East Coast

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. Business Area Sales Engineering Seniority Level Mid-Senior level Cloudera is seeking a Solutions Engineer to come join our team. You will utilize your strong technical, business competencies and customer service skills to provide the highest level of business and technical consultation to sales teams, prospects and customers to support sales goals. Responsibilities Deep understanding of AI concepts and best practices Provide advice in customer use cases discovery and requirements workshops Ability to troubleshoot data science workloads Actively participate within the Cloudera community Create and deliver customer-centric solution designs Present roadmap, vision, proposed architectures and business outcomes to technical teams Responsible for defining technical selling approach for accounts Regularly participate in account penetration / success strategy planning, working with sales counterparts and solutions engineering management Understand the core differentiators across the competitive landscape Understand the technology ecosystem Transform customer feedback into actionable product roadmap items A share of evangelism activities (blogs, meetups, industry events) Mentor associates, participate in creation and maintenance of enablement materials across the team Participate in contribution to internal and external knowledge repositories Qualifications Hands‑on experience with the full lifecycle of AI models - from development and testing to production deployment, monitoring, and retraining/versioning Strong experience with AI ecosystems (Agentic AI, Ethical AI solutions, Generative AI solutions and AI Development Tools like Cursor, CoPilot and Claude). AI and/or Data Science use‑case development Interest in Data Science and understand the difference between Data Engineering and Applied Science Experience as a Solutions Engineer / Pre‑Sales Solutions Architecture in field of practice (ability to listen to customer requirements, whiteboard and propose solution architectures, and be hands‑on with the tech) to design, build, and demonstrate real business value 3-5 years of professional work experience in a similar position Enterprise Software and Big Data experience Demonstrated understanding of the challenges in operations, Security and Data Governance within the enterprise Bachelor’s Degree in a Technical Field Good terms with Infrastructure (Hardware, Storage, Network), Java/.NET, and SQL. Strong Linux skills Strong written and verbal communication skills Problem solving and analytical skills Additional Qualifications Demonstrated knowledge of Big Data Ecosystem (HDFS & YARN, Spark, Impala, KUDU, Solr etc.) and can talk to the benefits of a centralized architecture for both data management and data access Streaming experience (Nifi, Kafka, Flink, Spark, etc.) NoSQL experience (HBase, Cassandra, MongoDB, etc.) EDW experience – Teradata, Netezza, GreenPlum, Exadata Data Science and ML experience – (R, Python, Deep Learning Frameworks etc.) Integration Products experience (Talend, DataStage, Informatica BDM, Qlik, Tableau, Zoomdata, IBM, Oracle, etc.) Thrive in a changing environment Four year degree (Bachelor's) from accredited university required Ability to travel domestically and internationally Salary Massachusetts: $150,000 - $185,000 New York: $150,000 - $185,000 Connecticut: $150,000 - $185,000 Individual compensation within the published range is determined by the candidate's skills, experience, qualifications, and primary work location. In addition to base pay, sales roles are eligible for Cloudera's commission plan, while non-sales roles are eligible for the corporate incentive plan. All employees receive a comprehensive benefits package. Benefits 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 Paid Volunteer Time Employee Resource Groups This role is not eligible for immigration sponsorship.

EEO/VEVRAA