AI Solutions Engineer - East Coast

Cloudera

South Carolina

Hybrid

USD 150,000 - 185,000

Full time

14 days+

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Benefits offered by this job

Generous PTO Policy
Flexible WFH Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement
Continued Career Development

Job summary

Cloudera is seeking a Solutions Engineer to join the Sales Engineering team. You will apply strong technical and business skills to advise sales teams, prospects and customers, supporting sales goals with practical, customer‑focused solution designs.

Ideal candidates have 3–5 years in a similar role, expertise in AI ecosystems, and a background in enterprise software and big data. The role involves travel and collaboration with cross‑functional teams to drive business value.

Qualifications

  • Hands‑on experience with the full lifecycle of AI models from development to production deployment, monitoring and retraining/versioning.
  • Experience with AI ecosystems (Agentic AI, Ethical AI solutions, Generative AI solutions and AI Development Tools).
  • AI and/or Data Science use‑case development experience.
  • Understanding of Data Engineering vs Applied Science concepts.
  • Solutions engineering/pre-sales architecture experience: listen to customer requirements, whiteboard and propose architectures, hands‑on with technology.

Responsibilities

  • Develop deep understanding of AI concepts and best practices.
  • Provide guidance in customer use cases discovery and requirements workshops.
  • Troubleshoot data science workloads.
  • Create and deliver customer‑centric solution designs.
  • Present roadmaps, architectures and business outcomes to technical teams.
  • Define technical selling approaches for accounts.
  • Collaborate with sales and SE management on strategy.
  • Understand competitive landscape and technology ecosystem.
  • Translate customer feedback into actionable product roadmap items.
  • Participate in evangelism activities and contribute to knowledge repositories.

Skills

AI concepts
Customer service
Data science workloads
Solution design
Technical sales support
Communication skills
Problem solving

Education

Bachelor’s Degree in a Technical Field

Tools

Cursor
CoPilot
Claude

Job 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.

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

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