Senior Ai Autom

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.

Building AI-native automation and agent workflows with heavy emphasis on prompt engineering, RAG, and AI orchestration tools.

Location: Hyderabad

Type: Full Time, Permanent

Posted: 1 week ago

Category: AI/ML & Data

Vibe Markers: 💻 Open Source, ✨ New

Experience Level: Senior

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.

Tech Stack

Serval, Microsoft 365, SuccessFactors, SAP, Entra ID, Azure, Azure AI Services, AWS, GCP, Python, JavaScript, TypeScript, Go, REST APIs, LangChain, Semantic Kernel, Kubernetes, Terraform, vector databases

Skills

Platform Administration, AI Governance, Prompt Engineering, Workflow Automation, Systems Integration, API Development, Data Orchestration, Cloud Architecture, Containerization, Infrastructure as Code, Monitoring & Observability, Security & Compliance, Testing & Validation, Communication, Stakeholder Management