Generative AI Engineer

4 weeks ago

Washington, United States Mindlance Full time

Title: Architect Premium III – AI Engineer

Duration: 3 Months - Long Term

Location: Washington, DC 20433


Hybrid Onsite: 4 Days per week from Day 1.


HM Comments: We are seeking an architect who is an expert in AI and Machine Learning areas.


Roles and Responsibilities for AI Engineer:

The AI engineer will be responsible for designing, developing, and deploying AI models based on training data sets or using generative AI. The role will focus on leveraging Azure Cloud services to build enterprise-level solutions that meet the specific needs of the organization.


Key Responsibilities:

  • Develop and implement AI models and algorithms.
  • Ability to build application including front end to show finished product.
  • Design and develop software applications that integrate AI technologies, including Generative AI, machine learning, and natural language processing.
  • Collaborate with data scientists and other stakeholders to identify business requirements and develop solutions that meet those needs.
  • Design and implement scalable and reliable software architectures that can handle large volumes of data and traffic.
  • Develop and maintain automated testing frameworks to ensure the quality and reliability of software applications.
  • Stay up-to-date with the latest AI and cloud-native technologies and trends, and apply them to improve software development processes and outcomes.
  • Work closely with cross-functional teams, including product managers, designers, and other engineers, to deliver high-quality software products.
  • Participate in code reviews, design reviews, and other team activities to ensure the quality and consistency of software development practices.
  • Design and implement cloud-based solutions using Azure services such as Azure Functions, Azure App Service, Azure Storage, and Azure Cosmos DB.
  • Implement and manage Azure DevOps pipelines for continuous integration and deployment of software applications.
  • Implement and maintain security and compliance controls for Azure resources, including network security groups, Azure Active Directory, and Azure Key Vault.
  • Collaborate with other teams, including operations and security, to ensure the availability, reliability, and security of Azure-based applications.


“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

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