Building AI-native automation and agent workflows with heavy emphasis on prompt engineering, RAG, and AI orchestration tools.
About the Role
Senior AI Automation Engineer responsible for designing, deploying, and operating enterprise-scale AI automation platforms and intelligent workflows. Lead platform administration, governance, integrations, and continuous improvement to convert manual processes into secure, scalable AI-driven automation across enterprise systems.
Job Description
Role
Senior AI Automation Engineer focused on administering and governing enterprise AI automation platforms, designing and deploying AI-powered workflows and agents, and integrating AI solutions with core enterprise systems. The role emphasizes platform security, compliance, observability, and continuous improvement of automation effectiveness.
Key Responsibilities
- Manage AI platform configurations, permissions, agent lifecycle, 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.
- Design, develop, deploy, and maintain intelligent AI-powered workflows and agents (Serval platform referenced).
- Convert manual and repetitive business processes into scalable automation and orchestration across enterprise applications.
- Create and optimize prompts, agent behaviors, workflows, and automation logic.
- Develop and maintain integrations with enterprise platforms (Microsoft 365, SuccessFactors, SAP, Entra ID, Azure services, HR systems, internal APIs).
- Build connectors, APIs, data pipelines, and automation services ensuring secure, reliable execution of AI agents.
- Troubleshoot integration performance, scalability, and reliability issues.
- Monitor platform health and workflow performance; analyze outcomes and implement improvements.
- Participate in AI model evaluation, prompt engineering, testing, validation, governance reviews, and risk assessments.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or 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 and enterprise systems integration.
- Strong understanding of AI/ML, large language models, generative AI applications, and prompt engineering.
- Strong experience developing and consuming REST APIs and data orchestration.
- Hands-on experience with cloud platforms such as Azure, AWS, or GCP.
- Proficiency in one or more programming languages: Python, JavaScript, TypeScript, or Go.
- Experience with workflow automation platforms, identity and access management, enterprise security controls, and monitoring/observability platforms.
- Excellent communication and stakeholder management skills.
Preferred Qualifications
- Experience administering or developing on the Serval platform.
- Experience building AI-native business applications and working with retrieval-augmented generation and vector databases.
- Familiarity with agentic AI frameworks, AI orchestration platforms, LangChain, Semantic Kernel, or Azure AI Services.
- Experience with Kubernetes, containerized workloads, Terraform, and Infrastructure as Code practices.
- Experience supporting enterprise IT Service Management platforms and working in fast-paced enterprise transformation environments.
- Experience in AI governance, AI security, and responsible AI practices.