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Agentic Ai Solutions Architect
Posted on Dec. 23, 2025
- Ka, India
- 0 - 0 USD (yearly)
- Full Time
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- 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.
- 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.
- 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.
- Collaborate with business stakeholders to translate problems into AI solutions.
- Identify opportunities, create solution blueprints, and quantify value, effort, risks, and ROI.
- Enforce best practices in prompt engineering, model governance, responsible AI, code quality, and process design.
- Ensure compliance with enterprise security, data privacy, and regulations.
- 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.
- Translate complex business problems into Agentic AI + Automation solutions.
- Engage senior stakeholders and lead strategic/technical discussions.
- Strong documentation and presentation skills.
- Certifications in Automation Anywhere (APA/Architect/A360), Azure, or AI technologies.
- Experience with LangChain, LangGraph, Autogen, Swarm frameworks, or workflow solutions.
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