AI SaaS Engineer

Company:  DocuSign
Location: Seattle
Closing Date: 28/10/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Company Overview

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).


Docusign is looking for a self-motivated AI SaaS Engineer to lead the development, optimization, and governance of AI solutions within our SaaS ecosystem. This role will include managing the GenAI features of essential SaaS applications, ensuring compliance with vendor management and SaaS policies, and collaborating with business stakeholders to enhance the value of AI capabilities in their SaaS portfolios. You will be a part of our Cloud Applications team, which oversees the overall service ownership and strategy of our SaaS offerings.

This position is an individual contributor role reporting to the Senior Manager of Cloud Apps.

Responsibility

  • Lead the design, development, and deployment of AI features within our SaaS applications, using the latest GenAI technologies
  • Manage and optimize the GenAI capabilities of critical SaaS applications, ensuring compliance with vendor management and SaaS policies
  • Implement vendor management policies and maintain strong relationships with external AI and SaaS vendors
  • Work closely with business partners to find opportunities and maximize the value delivery of AI capabilities within their SaaS portfolios
  • Contribute to the overall AI strategy and direction of SaaS service ownership within the Cloud Applications team
  • Implement monitoring tools and practices to track the performance and impact of AI features, ensuring seamless operation
  • Address and resolve issues related to AI functionalities in a timely manner
  • Maintain comprehensive documentation of AI processes, configurations, and updates
  • Stay updated with the latest AI and SaaS trends and technologies, recommending and integrating new solutions
  • Champion a security-first approach to AI development, configuration, and rollout

Basic

  • 5+ years of related experience with a Bachelor’s degree in Computer Science or related degree; or 3+ years of related experience with a Master’s degree in Computer Science or related degree
  • 3+ years of experience in software engineering or development with a strong focus on AI/ML applications
  • Experience designing, implementing, and optimizing AI/ML solutions in a SaaS environment
  • Experience with GenAI technologies and their applications in SaaS products
  • Experience with and understanding of SaaS architectures and platforms
  • Experience with one of the programming/scripting languages, such as Python, Java, etc.
  • Experience using REST APIs to integrate standalone SaaS applications into a broad architecture landscape
  • Experience with Scrum, Agile and continuous integration and continuous deployment practices

Preferred

  • Experience with AI/ML frameworks and libraries
  • Experience with compliance and security standards related to AI and SaaS applications
  • Experience with monitoring and logging tools for AI/ML models
  • Demonstrated ability to drive innovation and integrate cutting-edge AI technologies into existing SaaS solutions
  • Certification in AI, cloud computing, or related fields
  • Experience building custom APIs and RESTful services
  • Proven experience with common cloud infrastructure platforms including AWS, Azure, and GCP
  • Ability to learn and adapt to new AI and SaaS technologies and methodologies
  • Communicate and collaborate with cross-functional teams for different projects
  • Strong teammate willing to take responsibility, accountability and ownership
  • Project management experience handling projects and org wide application updates
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