Agentic Solutions Architect

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

Education