AI Solutions Engineer - East Coast

About the role

Cloudera is seeking an AI Solutions Engineer to join our team and lead our technical pre-sales motion. In this role, you will partner closely with Account Executives, prospects, and customers to run deep discovery, unpack business drivers, and address complex technical challenges. Combining technical expertise with business acumen, you will showcase the power of the CDP platform through tailored solution designs, impactful demos, and proof-of-concepts that deliver measurable value and win deals.

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

Requirements

• Hands-on experience with the full lifecycle of AI models - from development and testing to production deployment, monitoring, and retraining/versioning
• 3+ years of professional work experience in a pre-sales customer facing role (Solutions Engineer, Sales Engineer, technical consultant, Pre-sales Solutions Architecture, Pre-sales Data Architect, Big Data Consultant or similar position) acting as a co-seller selling solutions to business leaders and technical champions in the enterprise
• 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 understanding of the difference between Data Engineering and Applied Science
• Experience as a Solutions Engineer / Pre-Sales Solutions Architecture as a field of practice (an 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
• 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
• On good terms with Infrastructure (Hardware, Storage, Network), Java/.NET, and SQL
• Strong Linux skills
• Demonstrated strong written and verbal communication skills
• Demonstrated problem solving and analytical skills

Preferred qualifications

• Demonstrated knowledge of Big Data Ecosystem (HDFS & YARN, Spark, Impala, KUDU, Solr etc), 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

Pay

Massachusetts: $150,000 - $185,000
New York: $150,000 - $185,000
New Jersey: $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.

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