Lead Agentic & Automation Architect
Infosys · Hyderabad · onsite · Posted 23d ago
Undisclosed10–15 yrsfulltimeSourced from
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About this role
Job DescriptionWe are seeking highly experienced Agentic Automation Architects to lead the design and implementation of enterprise-grade AI-powered automation solutions. This role will define the technical strategy, architecture standards, governance controls, and reference designs for autonomous operations platforms leveraging Agentic AI, AI Agents, Ansible, Power Platform, Python automation, and cloud-native technologies.
These individuals will serve as technical leaders responsible for converting complex operational challenges into scalable automation and AI-driven solutions.
Roles ResponsibilitiesKey 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
Technical Requirement Primary skills: Technology->AI Agentic AI, Automation (Python, Ansible, Power automate), Cloud Platform Engineering (AWS,Terraform,Kubernetes,Github,CI/CD)
Additional ResponsibilityPreferred Experience
10+ years software engineering/automation experience
3+ years AI/LLM implementation experience
Enterprise architecture experience
Financial services or regulated industry experience
Educational RequirementMCA,MSc,MTech,Bachelor of Engineering,BTech
Preferred SkillsTechnology->AI-Agentic AI->Agent Engineering,Technology->AI-Data science->PYTHON,Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag),Technology->Cloud Platform->Amazon Webservices DevOps
Service LineData Analytics Unit
These individuals will serve as technical leaders responsible for converting complex operational challenges into scalable automation and AI-driven solutions.
Roles ResponsibilitiesKey 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
Technical Requirement
Additional ResponsibilityPreferred Experience
10+ years software engineering/automation experience
3+ years AI/LLM implementation experience
Enterprise architecture experience
Financial services or regulated industry experience
Educational RequirementMCA,MSc,MTech,Bachelor of Engineering,BTech
Preferred SkillsTechnology->AI-Agentic AI->Agent Engineering,Technology->AI-Data science->PYTHON,Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag),Technology->Cloud Platform->Amazon Webservices DevOps
Service LineData Analytics Unit
Sourced from naukri
Skills
Design PatternsAutomationDevopsapiscloud platformamazon web servicesenterprise automationcopilotEnterprise Architectureai governanceAnalyticscloudArchitecturecomplianceMicrosoft AzureAnsibleData ScienceArtificial IntelligenceAutomation Solutions
About Infosys

Infosys
IT Services & Consulting
323.6k+
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1981
45 years old
Bengaluru/Bangalore, Karnataka
India
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