Job summary:Title:agent orchestration and integration with DEV SECOPS - HybridLocation:Richmond, VA, United StatesLength and terms:Long term - W2 or C2CPosition created on 03/15/2025 06:03 pmJob description:Interview: Both Phone and In Person *Long term HybridDescription:Agentic Integration engineer to implement agent orchestration and integration with DEV SECOPS. The ideal candidate will have deep expertise in integrating Agentic UI with GenAI platforms and set up CI/CD pipelines for deploying.Responsibilities:Deep expertise integrating Agentic UI with GenAI platformsImplement security measures to protect agentic systems from vulnerabilities and threats, ensuring secure operation into Azure DevOps pipelines.Develop and maintain automated build, test and deployment pipelines using Azure DevOps pipelines.Design and manage secure Azure infrastructure using Infrastructure as Code (IaC) tools like Terraform, Azure Resource Manager TemplateImplement access control measures to ensure that only authorized users can access data science platforms and data.Define and enforce security policies and standards across Azure environments.Assist in the maintenance and implementation of VDOT’s Azure Cloud environmentProvide guidance on best practices with Azure offerings.Work with developers, solution architects, system architects, project managers, DBAs, management, and other engineers to utilize Azure offerings in an efficient, secure, and optimized fashion.Qualifications:Strong understanding of Azure cloud services (Compute, Storage, Networking, security etc.)Expertise in Azure ML Pipelines, MS Entra Single Sign On/Azure AD SAML 2 IDP Integration, Entra Managed Identities, Microsoft Purview, Azure Information Protection, Azure Monitor, Azure Key VaultFamiliarity with security best practices and common vulnerabilitiesKnowledge of IaC tools like Terraform or ARM templatesUnderstanding of software development methodologiesIntegrate AI models with existing systems and applications using APIsDeploy AI models into production environments and continuously monitor performance metricsFamiliarity with Cloud computing skillsStrong programming skills in Python and experience with AI/ML frameworks.Expertise in integrating with AI agent frameworks.Critical thinking and Problem-solving abilities.Create and maintain comprehensive documentation.Ability to communicate effectively orally and in writing with internal and external customers.Ability to develop, interpret and apply policies and procedures in an IT environment.Experience with Department of Transportation Data Domains developing an AI Composite Agentic Solution designed to identify and analyze data models, connect & correlate information to validate hypotheses, forecast, predict and recommend potential strategies and conduct What-if analysis.Bachelors or masters degree in computer science, AI, Data Science, or a related field, or equivalent certifications experience.Required SkillsCI/CD pipeline creation and management for Agentic applications1YearsDeep understanding of Azure Services, including compute storage, networking, DevSecOps etc 5 YearsExperience with Azure Resource Manager template or Terraform 1YearsExpertise in integrating Agentic UI with GenAi platforms in Azure1YearsAPI management and enablement 1YearsExperience training LLMs with structured and unstructured data sets 2YearsDesired SkillsExperience with GIS spatial data 3 YearsContact the recruiter working on this position:The recruiter working on this position is Fazal(Shaji Team) UddinHis/her contact number is +(1) (703) 4684697 His/her contact email is fazal@msysinc.comOur recruiters will be more than happy to help you to get this contract.
