Security Based AI Engineer

As a Security-Based AI Engineer, your role is crucial in driving the development and deployment of intelligent automation agents to enhance enterprise security and operational efficiency. Your responsibilities will include designing, developing, and implementing complex automation agents, integrating security features, and collaborating with internal teams to ensure seamless integration and adoption. Key Responsibilities: - Design, develop, and implement complex automation agents using Python, REST APIs, and GPT-based agent frameworks for intelligent decision-making. - Lead the technical build of security and operational agents, including Audit-Readiness Agent, Asset-Inventory Agent, Log Ingestion & Correlation Agent, Ticket/Workflow Agent, and OT Observability Agent. - Implement robust encryption strategies for sensitive data and integrate security features using cloud services like Azure Key Vault. - Utilize the Azure Serverless Stack for event-driven processing and workflow orchestration, and write clean, maintainable Python code for agent logic and API integrations. - Act as a technical consultant, understanding complex business requirements and collaborating with internal teams for successful deployment of automation agents. Qualifications Required: - 5+ years of experience in a technical and consultative role, ideally gained at a Big 4 consulting firm or similar consultancy. - Proficiency in Python programming, developing backend services, APIs, and automation scripts. - Hands-on experience with GPT-based agent frameworks and Azure Serverless Stack, particularly Azure Functions and Logic Apps. - Practical experience in implementing security protocols, data encryption, and managing secrets via Azure Key Vault. - Prior experience integrating with enterprise platforms like ServiceNow and SIEM/SOAR platforms. Company Details: (Omitted as no additional details of the company were provided in the job description) As a Security-Based AI Engineer, your role is crucial in driving the development and deployment of intelligent automation agents to enhance enterprise security and operational efficiency. Your responsibilities will include designing, developing, and implementing complex automation agents, integrating security features, and collaborating with internal teams to ensure seamless integration and adoption. Key Responsibilities: - Design, develop, and implement complex automation agents using Python, REST APIs, and GPT-based agent frameworks for intelligent decision-making. - Lead the technical build of security and operational agents, including Audit-Readiness Agent, Asset-Inventory Agent, Log Ingestion & Correlation Agent, Ticket/Workflow Agent, and OT Observability Agent. - Implement robust encryption strategies for sensitive data and integrate security features using cloud services like Azure Key Vault. - Utilize the Azure Serverless Stack for event-driven processing and workflow orchestration, and write clean, maintainable Python code for agent logic and API integrations. - Act as a technical consultant, understanding complex business requirements and collaborating with internal teams for successful deployment of automation agents. Qualifications Required: - 5+ years of experience in a technical and consultative role, ideally gained at a Big 4 consulting firm or similar consultancy. - Proficiency in Python programming, developing backend services, APIs, and automation scripts. - Hands-on experience with GPT-based agent frameworks and Azure Serverless Stack, particularly Azure Functions and Logic Apps. - Practical experience in implementing security protocols, data encryption, and managing secrets via Azure Key Vault. - Prior experience integrating with enterprise platforms like ServiceNow and SIEM/SOAR platforms. Company Details: (Omitted as no additional details of the company were provided in the job description)