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Lead Agentic & Automation Architect

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Onsite

Lead Agentic & Automation Architect

Infosys

Lead Agentic & Automation Architect

Skills

PythonGitLabAIAWSAnsibleGitHubKubernetesNo-code AutomationsServiceNowManagement ConsultingComplianceTerraformAzure

24 days ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

28 September 2026

What they need


  • Primary skills: Technology->AI & Agentic AI, Automation (Python, Ansible, Power automate), Cloud & Platform Engineering (AWS,Terraform,Kubernetes,Github,CI/CD)

Key Responsibilities Architecture & Strategy Define target-state architecture for enterprise automation and Agentic AI platforms. Design reusable automation frameworks and shared services. Establish architecture standards, design patterns, and engineering best practices. Lead technology evaluations and platform selection activities. Agentic AI Design Design single-agent and multi-agent architectures. Develop orchestration patterns utilizing AI Agents. Design retrieval augmented generation (RAG) solutions. Establish prompt engineering and context engineering standards. Define human-in-the-loop requirements and governance controls. Enterprise Integration Design API-based integrations with enterprise platforms. Establish event-driven architecture standards. Build integration patterns for AWS, ServiceNow, Azure, monitoring platforms, and operational systems. Governance & Observability Define AI governance controls. Establish observability frameworks for automations and AI agents. Define security, compliance, and auditability requirements. Leadership Lead architecture review boards. Mentor engineering teams. Guide solution delivery from concept through production. Required Skills: AI & Agentic AI: Agentic AI Architecture Multi-Agent Systems Microsoft Copilot Studio LangGraph LangChain Prompt Engineering RAG Architecture LLM Evaluation Frameworks Automation: Ansible Power Automate Python Workflow Automation Platforms REST APIs Cloud & Platform Engineering: AWS Terraform Kubernetes GitHub/GitLab CI/CD Soft Skills: Executive communication Stakeholder management Consulting mindset Technical leadership

Preferred Experience 10+ years software engineering/automation experience 3+ years AI/LLM implementation experience Enterprise architecture experience Financial services or regulated industry experience

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