Solutions Architect( Agentic AI)

About Us

Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry’s first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics—all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.

About the Role

We are seeking an exceptional Agentic Solution Architect to join our AI Center of Excellence. This role combines expertise in Agentic AI workflows, LLM-driven automation, and enterprise architecture. The ideal candidate is a hands-on technologist who designs scalable solutions integrating AI agents, orchestration, APIs, and traditional automation tools. This high-impact position will shape enterprise adoption of Agentic Automation.

Key Responsibilities

Solution Architecture & Design

• Architect Agentic AI workflows using LLMs, multi-agent frameworks (e.g., supporting MCP and A2A protocols), intelligent orchestration, and domain-specific reasoning.

• Design end-to-end solutions integrating AI agents, RPA bots, APIs, microservices, and HITL workflows.

• Define reusable patterns, integration standards (including MCP for tool/context integration and A2A for agent-to-agent communication), and reference models.

• Evaluate and recommend AI models, vector stores, orchestration platforms, and tools.

Technical Leadership

• Act as technical authority on Agentic AI and Automation, guiding teams and stakeholders.

• Mentor developers on scalable, maintainable solutions.

• Conduct design reviews and architecture assessments.
   

Implementation & Delivery

• Lead POCs, pilots, and production implementations using LLM-powered automation, OpenAI/Azure OpenAI/enterprise LLMs, and frameworks like Automation Anywhere, Autogen, or LangGraph.

• Ensure robust exception handling, security, compliance, and maintainability.
   

Business Engagement

• Collaborate with business stakeholders to translate problems into AI solutions.

• Identify opportunities, create solution blueprints, and quantify value, effort, risks, and ROI.
   

Governance & Standards

• Enforce best practices in prompt engineering, model governance, responsible AI, code quality, and process design.

• Ensure compliance with enterprise security, data privacy, and regulations.

Required Qualifications

Technical Skills

• 7- 12 years in Smart Automation, including 3+ years in AI/LLM-based solutions.

• Strong expertise in automation platforms (Automation Anywhere preferred).

• Deep hands-on experience with:

  • LLMs (OpenAI, Azure OpenAI, Claude, Gemini, etc.)

  • Agentic/multi-agent workflows (including MCP and A2A protocols)

  • API integrations & event-driven systems

  • Python/Node.js for automation scripting

  • Vector databases, embeddings, and RAG workflows

• Solid knowledge of enterprise architecture, cloud services, authentication, and security.

Professional Skills

• Translate complex business problems into Agentic AI + Automation solutions.

• Engage senior stakeholders and lead strategic/technical discussions.

• Strong documentation and presentation skills.

Preferred Qualifications

• Certifications in Automation Anywhere (APA/Architect/A360), Azure, or AI technologies.

• Experience with LangChain, LangGraph, Autogen, Swarm frameworks, or workflow solutions.