Agentic Ai Architect

<p><b><u><span style="font-family:Arial;font-size:14px;">Job summary:</span></u></b></p><p><span style="font-family:Arial;font-size:14px;">You will lead Mindsprint's GenAI and agentic AI architecture, taking agent-based solutions from opportunity to production. You will design systems that combine LLMs, RAG, knowledge graphs, tool use through MCP and enterprise integrations, with governance, security and reliability built in.</span></p><p><b><u><span style="font-family:Arial;font-size:14px;">Job Description:</span></u></b></p><ul><li><span style="font-family:Arial;font-size:14px;">Work with business leaders to find high-value AI use cases and shape production-grade solution strategies and adoption roadmaps.</span></li><li><span style="font-family:Arial;font-size:14px;">Design agentic AI architectures: single- and multi-agent orchestration, planning, memory, tool calling and human-in-the-loop controls.</span></li><li><span style="font-family:Arial;font-size:14px;">Architect RAG and knowledge systems: document ingestion and parsing, chunking, embeddings, vector and hybrid search, and knowledge graphs.</span></li><li><span style="font-family:Arial;font-size:14px;">Define how agents connect to enterprise systems and data through MCP servers, APIs and event-driven integration.</span></li><li><span style="font-family:Arial;font-size:14px;">Select and evaluate models (OpenAI, Anthropic, open-source via Hugging Face), including fine-tuning where it pays off.</span></li><li><span style="font-family:Arial;font-size:14px;">Establish enterprise AI governance: guardrails, evaluation frameworks, observability, cost controls, security and responsible-AI policies.</span></li><li><span style="font-family:Arial;font-size:14px;">Build reusable AI frameworks, accelerators and reference architectures that cut delivery effort across engagements.</span></li><li><span style="font-family:Arial;font-size:14px;">Lead technical workshops, demos, PoCs and executive presentations; translate AI concepts for technical and non-technical audiences.</span></li><li><span style="font-family:Arial;font-size:14px;">Partner with the Data Engineering Architect to make sure data platforms are AI-ready.</span></li><li><span style="font-family:Arial;font-size:14px;">Guide and mentor AI engineers, data scientists and solution architects.</span></li></ul><p><b><u><span style="font-family:Arial;font-size:14px;">Profile Description:</span></u></b></p><p><b><span style="font-family:Arial;font-size:14px;">Must-have</span></b></p><ul><li><span style="font-family:Arial;font-size:14px;">15+ years in software, data or solution architecture, with 2+ years designing GenAI or agentic systems that reached production.</span></li><li><span style="font-family:Arial;font-size:14px;">Hands-on with LLM application frameworks: LangChain, LangGraph, LlamaIndex, Semantic Kernel or similar.</span></li><li><span style="font-family:Arial;font-size:14px;">Strong RAG design experience with vector databases (Azure AI Search, pgvector, Pinecone, Weaviate or similar).</span></li><li><span style="font-family:Arial;font-size:14px;">Working knowledge of MCP and tool/function-calling patterns.</span></li><li><span style="font-family:Arial;font-size:14px;">Solid Python and API design; cloud AI services on Azure (Azure OpenAI, AI Foundry) or AWS/GCP equivalents.</span></li><li><span style="font-family:Arial;font-size:14px;">Experience with LLM evaluation, guardrails and LLMOps.</span></li><li><span style="font-family:Arial;font-size:14px;">Strong data architecture background: you understand how data quality and pipelines shape AI outcomes.</span></li><li><span style="font-family:Arial;font-size:14px;">Proven executive-facing consulting and pre-sales experience.</span></li></ul><p><b><span style="font-family:Arial;font-size:14px;">Good to Have</span></b></p><ul><li><span style="font-family:Arial;font-size:14px;">Knowledge graphs (Neo4j, JanusGraph) and semantic search (Solr, Elasticsearch).</span></li><li><span style="font-family:Arial;font-size:14px;">Document AI tooling (Apache Tika, GROBID, Azure Document Intelligence).</span></li><li><span style="font-family:Arial;font-size:14px;">Fine-tuning and serving open-source models.</span></li><li><span style="font-family:Arial;font-size:14px;">Multi-agent frameworks (AutoGen, CrewAI, Agent SDKs).</span></li><li><span style="font-family:Arial;font-size:14px;">Domain experience in supply chain, agri/food, retail, insurance or healthcare.</span></li><li><span style="font-family:Arial;font-size:14px;">Published accelerators, patents, talks or innovation awards.</span></li></ul><p><b><span style="font-family:Arial;font-size:14px;">Education:</span></b><span style="font-family:Arial;font-size:14px;"> B.E./B.Tech or M.Tech in Computer Science, Electronics or a related field.</span></p><div><br /></div>