Senior Software Engineer, AI

Riverbed, the leader in AI observability, helps organizations optimize their user’s experiences by leveraging AI automation for the prevention, identification, and resolution of IT issues. With over 20 years of experience in data collection and AI and machine learning, Riverbed’s open and AI-powered observability platform and solutions optimize digital experiences and greatly improves IT efficiency. Riverbed also offers industry-leading Acceleration solutions that provide fast, agile, secure acceleration of any app, over any network, to users anywhere. Together with our thousands of market-leading customers globally – including 95% of the FORTUNE 100 – we are empowering next-generation digital experiences.


Job Title: Senior Software Engineer, AI

Location Preference: Greater Boston MA; Greater Raleigh/Durham, NC; Greater Dallas, TX

Do you want to be at the forefront of Big Data and AI innovation? Do you thrive on tackling complex problems with intelligent solutions at 100-Petabyte Enterprise scale? Do you have a passion for delivering those solutions to production services? If so, then this AI Engineer role is for you!

We are looking for a talented and passionate Senior Software Engineer to join our team and play a key role in developing and deploying cutting-edge AI solutions. You will be responsible for the AI lifecycle, from working with the Data Science team designing and building models to implementing production services including testing, deployment, and monitoring of AI solutions in a production SaaS environment.

What You Will Do:

  • AI service Design and Develop:
  • Design, develop, and implement AI services, algorithms, and machine learning models.
  • Train, test, and evaluate those services and models to ensure accuracy, efficiency, and scalability.
  • Deployment and Integration:
  • Develop and maintain service(s) and infrastructure that provide interfaces for integrating with AI solutions.
  • Monitor and maintain AI solutions in production, identifying and resolving any issues.
  • Data Pipeline Management:
  • Work as part of the engineering team to create robust data pipelines that feed curated data into AI models. Ensure data quality, reliability, and security.
  • Improvement & Growth:
  • Stay up-to-date on the latest advancements in AI and machine learning research.
  • Collaboration:
  • Collaborate with cross-functional teams (data science, engineers, product managers, solutions engineers) to ensure successful integration of AI solutions.
  • Communicate complex technical concepts clearly and concisely to both technical and non-technical audiences.

What Makes You An Ideal Candidate:

  • Bachelors or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or a related field (or equivalent experience).
  • Strong understanding of machine learning algorithms (deep learning, reinforcement learning, etc.).
  • Strong understanding of Natural Language Processing (NLP) and use of Generative AI
  • Strong programming skills in a microservices structure. (C# .NET preferred)
  • Familiarity with SaaS architecture, microservices and RESTful APIs.
  • Experience working in Cloud platforms (eg. Azure, AWS, GCP).
  • Proven experience in developing and deploying AI models (ideally with experience in Python).
  • Experience working with big data frameworks (Spark, DataBricks, etc.) is a plus.
  • Excellent analytical and problem-solving skills.
  • Strong communication and collaboration skills.
  • Ability to work independently and as part of a team.

What We Offer:

Our employee benefits including flexible workplace policies, employee resource groups, learning and development resources, career progression pathways, and community engagement initiatives are some of the reasons why we have had great success in bringing in new talent. In addition, our global employee wellness programs are crafted to support the physical, emotional, and financial well-being of our employees.

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