Senior AI Automation Engineer

Immediate Joiners Only

Senior AI Automation Engineer

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical discipline.
• 7+ years of experience in enterprise software development, automation engineering, platform engineering, or systems integration.
• Experience deploying and supporting enterprise automation platforms.
• Strong understanding of artificial intelligence, machine learning, large language models, and generative AI applications.
• Experience with prompt engineering and AI workflow design.
• Strong experience developing and consuming REST APIs.
• Experience with enterprise systems integration and data orchestration.
• Hands-on experience with cloud platforms, including Azure, AWS, or GCP.
• Proficiency in one or more programming languages such as Python, JavaScript, TypeScript, or Go.
• Experience with workflow automation platforms, identity and access management, enterprise security controls, and monitoring or observability platforms.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience administering or developing solutions on the Serval platform.
• Experience building AI-native business applications.
• Experience with retrieval-augmented generation, vector databases, agentic AI frameworks, AI orchestration platforms, LangChain, Semantic Kernel, or Azure AI Services.
• Experience with Kubernetes and containerized workloads.
• Familiarity with Terraform and Infrastructure as Code practices.
• Experience supporting enterprise IT Service Management platforms.
• Experience in AI governance, AI security, and responsible AI practices.
• Previous experience working in a fast-paced enterprise transformation environment.

Key Responsibilities

AI Platform Administration & Governance

• Manage platform configurations, permissions, agent lifecycle management, environments, and governance controls.
• Develop and maintain standards for AI workflow creation, testing, deployment, security, and operational support.
• Establish platform monitoring, auditing, usage reporting, and adoption metrics.
• Ensure AI solutions comply with enterprise security, privacy, compliance, and governance requirements.

AI Workflow & Automation Development

• Design, develop, deploy, and maintain intelligent AI-powered workflows and agents using the Serval platform.
• Convert manual and repetitive business processes into scalable automated solutions.
• Create and optimize prompts, agent behaviors, workflows, and automation logic.
• Implement process orchestration across enterprise applications and business systems.
• Evaluate workflow performance and continuously improve effectiveness through feedback and analytics.

Enterprise Integrations

• Develop and maintain integrations between Serval and enterprise platforms, including Microsoft 365, SuccessFactors, SAP, Entra ID, Azure services, HR systems, security platforms, and internal applications and APIs.
• Build connectors, APIs, data pipelines, and automation services that enable AI agents to execute business workflows securely and reliably.
• Troubleshoot integration performance, scalability, and reliability issues.

AI Operations & Continuous Improvement

• Monitor platform health and AI workflow performance.
• Analyze outcomes, identify optimization opportunities, and improve automation effectiveness.
• Participate in AI model evaluation, prompt engineering, testing, and validation.
• Assist with AI governance reviews and risk assessments.
• Develop best practices for AI deployment, observability, and operational support.