Job Summary

The Agentic Solution Architect is responsible for designing, leading, and delivering end-to-end intelligent automation solutions powered by AI Agents, RPA (Robotic Process Automation), and orchestration frameworks.

This role focuses on building scalable multi-agent architectures, integrating enterprise systems, and driving the adoption of Agentic Automation across business functions to improve efficiency, decision-making, and operational intelligence.

Job Responsibilities 1
Agentic Architecture & Solution Design

• Solution Architecture Development: Design end-to-end agentic automation architectures integrating AI agents, RPA bots, APIs, enterprise platforms, and orchestration frameworks.
• Multi-Agent Framework Design: Lead the development of scalable multi-agent orchestration frameworks to support complex business processes and intelligent workflow automation.

AI & Intelligent Automation Implementation

• AI-Driven Automation: Architect intelligent automation solutions leveraging LLMs, AI agents, decision engines, and machine learning capabilities to improve business operations and efficiency.
• Workflow Optimization: Design intelligent workflows and automation strategies that reduce manual effort, optimize operational processes, and enhance service delivery.

Enterprise Integration & Technology Enablement

• System Integration Architecture: Architect integrations with enterprise systems including SAP, APIs, databases, cloud platforms, and third-party applications to enable seamless automation ecosystems.
• Technology Standardization: Define technical standards, architecture blueprints, development frameworks, and best practices for agentic automation and intelligent systems.

Technical Leadership & Delivery Oversight

• Development Guidance: Provide technical leadership and guidance to development teams implementing solutions using UiPath, AI Center, Maestro, orchestration platforms, and related technologies.
• Solution Validation: Conduct technical design reviews, code reviews, architecture validations, and quality assurance activities to ensure solution reliability and scalability.

Governance, Security & Compliance

• Automation Governance: Ensure all automation and AI solutions comply with organizational governance standards, cybersecurity requirements, and data privacy regulations.
• Risk & Security Management: Identify solution risks, scalability concerns, and security vulnerabilities while implementing mitigation strategies and controls.

Job Responsibilities 2
Innovation & Digital Transformation

• Emerging Technology Evaluation: Drive innovation initiatives by evaluating emerging AI technologies, agentic frameworks, and intelligent automation platforms for enterprise adoption.
• Strategic AI Enablement: Support organizational AI transformation initiatives by promoting intelligent automation capabilities and scalable digital solutions.

Stakeholder & Business Engagement

• Business Requirement Translation: Collaborate with business stakeholders to gather requirements and translate operational needs into scalable AI-driven automation solutions.
• Pre-Sales & Strategic Support: Support strategic initiatives, solution demonstrations, proof-of-concepts, and technical presentations when required.

Capability Building & Mentorship

• Technical Mentorship: Mentor developers, automation engineers, and technical teams in agentic architecture design, AI technologies, and intelligent automation best practices.
• Knowledge Development: Promote awareness, adoption, and capability development related to agentic automation and enterprise AI technologies across the organization.

Additional Responsibilities 3

Job Knowledge & Skills

• Agentic AI & Multi-Agent Systems: Strong understanding of Agentic AI concepts, autonomous agents, orchestration frameworks, and intelligent workflow architectures.
• RPA & Intelligent Automation: Expertise in UiPath and enterprise automation technologies including workflow design, orchestration, and process automation strategies.
• Enterprise Integration Architecture: Strong knowledge of APIs, REST services, SAP integrations, databases, middleware, and enterprise platform connectivity.
• AI & LLM Technologies: Familiarity with AI/ML frameworks, LLMs, prompt engineering, intelligent decision systems, and AI-enabled enterprise solutions.
• Technical Leadership & Communication: Excellent analytical, technical leadership, stakeholder management, and communication skills with the ability to drive innovation and collaboration.

Job Experience

• Minimum 5–7 years of experience in solution architecture, intelligent automation, software engineering, or enterprise technology delivery.
• Strong hands-on experience in RPA platforms, preferably UiPath, enterprise automation frameworks, and workflow orchestration technologies.
• Proven experience designing scalable enterprise architectures, AI integrations, APIs, and intelligent automation ecosystems.
• Exposure to AI/ML technologies, Large Language Models (LLMs), prompt engineering, and AI-enabled enterprise solutions is highly preferred.
• Experience leading technical teams, solution delivery initiatives, or enterprise transformation projects.

Competencies
Agility
AI Fluency
Build High-Performing Teams
Build Process and Systems
Drive Cost Optimization
Enterprise Architecture,Emerging Technology L4
Leadership
Machine Learning Algorithms L3
Product and Service Knowledge L4
Project Planning and Execution L4
Provide Direction
Quality
Resilience
Service Level Agreements L4
Speed of Execution


Education
Bachelor's Degree in Computer Science or any related field