AI Solutions Architect leading design and implementation of AI - powered solutions for Innovecs. Shaping AI architecture strategy and driving automation across product and engineering landscape.
About the role
- Solutions Engineer at Cloudera helping customers deploy and utilize the CDP platform efficiently with technical expertise and customer service orientation.
Responsibilities
- Create and deliver customer-centric solution designs, proposed architectures and business outcomes to all levels – developers, architects, CTO, and CIO.
- Work with cross-functional teams including Sales, Marketing, Product Management, Services, Support, Training, and Engineering to share Cloudera’s Vision with customers.
- Advise customers on use case patterns through discovery and requirements workshops.
- Transform customer feedback into actionable product roadmap items.
- Work with teammates and management to define technical selling strategy.
- Participate within the Cloudera community, share evangelism activities (blogs, meetups, industry events), and contribute to internal and external knowledge repositories.
Requirements
- 5+ years of professional work experience in a similar position, 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).
- Demonstrated problem solving and analytical skills.
- Experience in Solution Architecture/Engineering 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.
- Experience with the Apache Hadoop ecosystem (HDFS, YARN) and related components (Spark, Hive, Impala, Kudu, Solr, etc.) and can talk to the benefits of a centralized architecture for both data management and data access.
- Experience with public cloud infrastructures (AWS, Azure, GCP, IBM Cloud, etc.).
- Interest in achieving your public cloud certification.
- Experience with the Linux OS and bare metal, VM, and distributed container platforms Kubernetes or OpenShift.
- Some experience with specific private cloud infrastructures (Server Hardware, Storage, Networking).
- Some experience of the formation of Data Lakes, principles of Data Warehousing, SQL and relational database patterns, and application integration.
- Some knowledge of differentiators across the competitive landscape.
- Some basic software development experience in Java, Scala or Python.
- Some experience with Data Flow, Queues and Stream Processing (Nifi, Kafka, Flink, Spark) in enterprise applications.
- Interest in Data Science and understand the difference between Data Engineering and Applied Science.
- Passion about what you do and inspire people around you.
- Bachelor’s Degree or equivalent experience in a Technical Field
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
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