What are the responsibilities and job description for the Agentic Integration Engineer (HYBRID) position at Serigor?
Job Details
Job Title: Agentic Integration Engineer (HYBRID)
Location: Richmond, VA
Duration: 12 Months
Job Description:
The client is seeking a highly skilled 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 platforms
- Implement 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 Template
- Implement 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 environment
- Provide 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 Vault
- Familiarity with security best practices and common vulnerabilities
- Knowledge of IaC tools like Terraform or ARM templates
- Understanding of software development methodologies
- Integrate AI models with existing systems and applications using APIs
- Deploy AI models into production environments and continuously monitor performance metrics
- Familiarity with Cloud computing skills
- Strong 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 analyzedata models, connect & correlateinformation to validatehypotheses, forecast, predict and recommendpotential strategies and conduct What-if analysis.
- Bachelor's or master's degree in computer science, AI, Data Science, or a related field, or equivalent certifications/experience.
Skills:
- CI/CD pipeline creation and management for Agentic applications-Required-1-Years
- Deep understanding of Azure Services, including compute storage, networking, Dev SecOps etc.-Required-5-Years
- Experience with Azure Resource Manager template or Terraform-Required-1-Years
- Expertise in integrating Agentic UI with GenAi platforms in Azure-Required-1-Years
- API management and enablement-Required-1-Years
- Experience training LLMs with structured and unstructured data sets-Required-2-Years
- Experience with GIS spatial data-Desired-3-Years
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
