Agentic Ai Architect

<p><b><u><span style="font-size:14px;font-family:Arial;">Job Summary:</span></u></b></p><p><span style="font-size:14px;font-family:Arial;">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-size:14px;font-family:Arial;">Job Description:</span></u></b></p><ul><li><span style="font-size:14px;font-family:Arial;">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-size:14px;font-family:Arial;">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-size:14px;font-family:Arial;">Architect RAG and knowledge systems: document ingestion and parsing, chunking, embeddings, vector and hybrid search, and knowledge graphs.</span></li><li><span style="font-size:14px;font-family:Arial;">Define how agents connect to enterprise systems and data through MCP servers, APIs and event-driven integration.</span></li><li><span style="font-size:14px;font-family:Arial;">Select and evaluate models (OpenAI, Anthropic, open-source via Hugging Face), including fine-tuning where it pays off.</span></li><li><span style="font-size:14px;font-family:Arial;">Establish enterprise AI governance: guardrails, evaluation frameworks, observability, cost controls, security and responsible-AI policies.</span></li><li><span style="font-size:14px;font-family:Arial;">Build reusable AI frameworks, accelerators and reference architectures that cut delivery effort across engagements.</span></li><li><span style="font-size:14px;font-family:Arial;">Lead technical workshops, demos, PoCs and executive presentations; translate AI concepts for technical and non-technical audiences.</span></li><li><span style="font-size:14px;font-family:Arial;">Partner with the Data Engineering Architect to make sure data platforms are AI-ready.</span></li><li><span style="font-size:14px;font-family:Arial;">Guide and mentor AI engineers, data scientists and solution architects.</span></li></ul><p><u><b><span style="font-size:14px;font-family:Arial;">Profile Description:</span></b></u></p><p><b><u><span style="font-size:14px;font-family:Arial;">Must-have:</span></u></b></p><ul><li><span style="font-size:14px;font-family:Arial;">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-size:14px;font-family:Arial;">Hands-on with LLM application frameworks: LangChain, LangGraph, LlamaIndex, Semantic Kernel or similar.</span></li><li><span style="font-size:14px;font-family:Arial;">Strong RAG design experience with vector databases (Azure AI Search, pgvector, Pinecone, Weaviate or similar).</span></li><li><span style="font-size:14px;font-family:Arial;">Working knowledge of MCP and tool/function-calling patterns.</span></li><li><span style="font-size:14px;font-family:Arial;">Solid Python and API design; cloud AI services on Azure (Azure OpenAI, AI Foundry) or AWS/GCP equivalents.</span></li><li><span style="font-size:14px;font-family:Arial;">Experience with LLM evaluation, guardrails and LLMOps.</span></li><li><span style="font-size:14px;font-family:Arial;">Strong data architecture background: you understand how data quality and pipelines shape AI outcomes.</span></li><li><span style="font-size:14px;font-family:Arial;">Proven executive-facing consulting and pre-sales experience.</span></li></ul><p><b><span style="font-size:14px;font-family:Arial;"><u>Good to have:</u></span></b></p><ul><li><span style="font-size:14px;font-family:Arial;">Knowledge graphs (Neo4j, JanusGraph) and semantic search (Solr, Elasticsearch).</span></li><li><span style="font-size:14px;font-family:Arial;">Document AI tooling (Apache Tika, GROBID, Azure Document Intelligence).</span></li><li><span style="font-size:14px;font-family:Arial;">Fine-tuning and serving open-source models.</span></li><li><span style="font-size:14px;font-family:Arial;">Multi-agent frameworks (AutoGen, CrewAI, Agent SDKs).</span></li><li><span style="font-size:14px;font-family:Arial;">Domain experience in supply chain, agri/food, retail, insurance or healthcare.</span></li><li><span style="font-size:14px;font-family:Arial;">Published accelerators, patents, talks or innovation awards.</span></li></ul><div><br /></div>