Technical Architect - Agentic AI
Agentic AI Architect/Sr. Architect-Agentic AI
Agentic AI Architect/Sr. Architect-Agentic AI
We are seeking an experienced Agentic AI Architect to lead the design, development,
and deployment of next-generation AI solutions powered by autonomous agents, multi
agent systems, LLMs, RAG, Knowledge Graphs, and AI orchestration frameworks. The
ideal candidate will possess a strong blend of AI/ML expertise, solution architecture
skills, and hands-on experience in delivering enterprise-scale AI initiatives.
Key Responsibilities
• Design and architect Agentic AI solutions leveraging LLMs, autonomous agents,
multi-agent systems, and AI orchestration frameworks.
• Lead the development of AI-powered workflows using platforms such as
LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or similar
frameworks.
• Define agent planning, reasoning, memory, tool usage, and collaboration
strategies for complex enterprise use cases.
• Integrate RAG pipelines, vector databases, Knowledge Graphs, APIs, and
enterprise data sources into agent ecosystems.
• Provide technical leadership, architecture guidance, and best practices for
scalable, secure, and responsible AI implementations.
• Collaborate with business stakeholders to identify high-value opportunities for
AI-driven automation and decision intelligence.
• Establish governance, evaluation, observability, and performance monitoring
frameworks for AI agents.
• Mentor engineering teams and contribute to AI capability development across
the organization.
Required Qualifications
• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related
field.
• 12-20 years of experience in Web development, AI/ML, data science, software
engineering, or solution architecture.
• 3+ years of hands-on experience with Generative AI and LLM-based solutions.
• Strong experience with Agentic AI frameworks such as LangGraph, CrewAI,
AutoGen, Semantic Kernel, or OpenAI Agents SDK.
• Expertise in RAG, vector databases, embeddings, prompt engineering, and AI
orchestration.
• Experience with cloud platforms such as Azure AI, AWS Bedrock, or Google
Vertex AI.
• Proficiency in Python, APIs, MLOps, and enterprise application integration.
• Strong understanding of responsible AI, security, governance, and model
evaluation.
Preferred Qualifications
• Experience with GraphRAG, Knowledge Graphs, Neo4j, and enterprise search
solutions.
• Exposure to AI copilots, workflow automation, and intelligent process
automation.
Public
• Relevant certifications in Azure AI, AWS AI/ML, or Generative AI technologies.
Key Skills
Agentic AI | Multi-Agent Systems | LLMs | RAG | GraphRAG | Knowledge Graphs |
LangGraph | CrewAI | AutoGen | Semantic Kernel | Prompt Engineering | Vector
Databases | Python | Azure AI | AI Governance | Solution Architecture
Experience: 12-20 Years
Role Level: Lead Architect / Principal AI Engineer / AI SME
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Do:
- Understanding of business processes to determine problem statements in the F&A & HRO Vertical. Closely work with functional and domain experts and translate how technology can solve a business problem
- Should be able to think through existing technology solutions and also have enough industry/market know how to bring in technologies from partners and develop alliances
- Develop solution artefacts, value propositions with a representation of end to end business processes and mapping them back to technology solutions
- Develop relationships with multiple stake holders (Below list is not exhaustive)
- Functional team to understand the business needs
- Technology teams to convert them into technology solutions
- Sales and Pre Sales team acting as the engine enabling sales
- He/she works as an individual contributor with excellent communication skills (both written and verbal) and is able to respond to RFI/RFP (RFx) and defend /present solutions with Client while working closely with the onsite Sales teams
Source: the employer's careers page. Last checked 2026-10-24. Posted 2026-10-10.
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