# AI Architect (Agentic Process Automation) **Company**: IQVIA **Location**: Warsaw, Poland **Experience**: senior **Job type**: full-time **Salary**: 227 000,00 zł - 421 400,00 zł **Category**: Engineering **Industry**: Healthcare **Apply**: https://iqvia.wd1.myworkdayjobs.com/en-US/IQVIA/job/Warsaw-Poland/AI-Automation-Architect_R1566377?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_42c47e8b-6de ## Description We are seeking a hands-on AI Architect to design, govern, and scale enterprise-grade Agentic AI, Copilot, and Intelligent Automation solutions. The role combines AI architecture, enterprise data strategy, evaluation engineering, governance, and intelligent process automation to deliver secure, scalable, and business-driven AI solutions. **Key Responsibilities:** - Design and deliver enterprise-grade Agentic AI, Copilot, RAG, and Intelligent Automation solutions. - Architect multi-agent systems including planning, reasoning, memory management, workflow orchestration, tool integration, and Human-in-the-Loop controls. - Define enterprise AI strategy, reference architectures, standards, governance frameworks, best practices, and reusable accelerators. - Lead AI platform decisions spanning foundation models, agent frameworks, enterprise data, orchestration platforms, and integration patterns. - Architect and provide technical leadership for Python-based AI platforms, agent frameworks, automation services, APIs, and enterprise integrations. - Ensure AI solutions meet enterprise requirements for scalability, reliability, observability, security, compliance, and operational excellence. - Collaborate with product, engineering, security, data, and business stakeholders to identify high-value AI opportunities and deliver measurable business impact. - Conduct architecture reviews, support Architecture Review Boards (ARB), and oversee delivery across multiple AI initiatives. **Enterprise Integration, Data & AI Quality Engineering:** - Integrate AI solutions with enterprise platforms including ERP, CRM, ITSM, HR, Finance, SharePoint, and other business systems. - Design AI architectures leveraging Microsoft Fabric, Databricks, Snowflake, Azure Data Lake, Enterprise Data Platforms, and enterprise knowledge repositories. - Architect secure integrations using APIs, Graph APIs, OAuth2, Function Calling, MCP, Agent-to-Agent communication, and event-driven architectures. - Design enterprise knowledge architectures across structured, semi-structured, and unstructured data sources. - Define data strategies covering knowledge sourcing, metadata management, chunking strategies, embedding architectures, vectorization, and retrieval optimization. - Design scalable data processing pipelines, orchestration services, and AI workloads using Python and cloud-native technologies. - Design and govern evaluation datasets, benchmark suites, golden test sets, and domain-specific validation frameworks. - Establish methodologies for measuring accuracy, groundedness, relevance, reasoning quality, latency, cost efficiency, and business outcomes. - Define evaluation pipelines for prompts, RAG systems, copilots, and autonomous agents using automated and human evaluation approaches. - Partner with business, domain, and data teams to establish trusted AI-ready data foundations, feedback loops, and continuous improvement processes. **Governance, Security & Reliability:** - Implement Responsible AI practices covering privacy, security, compliance, auditability, risk management, ethical AI, and PII protection. - Define observability, testing, hallucination detection, resiliency, disaster recovery, model monitoring, and operational support strategies. - Establish AI quality gates, release criteria, evaluation standards, and governance processes for production AI systems. - Drive token governance, model routing, semantic caching, cost optimization, and mitigation strategies for bias, drift, and reliability risks. **Foundation Models & GenAI:** - Provide technical leadership on LLM platforms including OpenAI GPT, Azure OpenAI, Anthropic Claude, Microsoft Copilot, and emerging foundation models. - Apply advanced Prompt Engineering, Context Engineering, Knowledge Grounding, Function Calling, Agent Memory, and Model Routing techniques. - Design and optimize Retrieval-Augmented Generation (RAG) solutions leveraging enterprise search, vector databases, embeddings, and knowledge management platforms. **Required Qualifications:** - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related discipline. - 8+ years of software engineering experience, including a minimum of 3 years focused on AI/ML, Generative AI, Agentic AI, Copilot, or Intelligent Automation solutions. - Strong expertise in Python, including development of AI agents, APIs, automation services, data processing pipelines, orchestration frameworks, and evaluation platforms. - Hands-on experience building enterprise AI applications using technologies such as FastAPI, LangChain, LangGraph, , Pandas, or similar frameworks. - Hands-on experience with AI development tools such as Cursor AI, GitHub Copilot, and Microsoft 365 Copilot. - Extensive experience with LLM platforms including OpenAI, Azure OpenAI, Anthropic Claude, and similar technologies. - Deep understanding of RAG, vector databases, embedding models, enterprise search, knowledge management architectures, and AI evaluation frameworks. - Strong knowledge of Graph APIs, OAuth2, SSO, enterprise integration patterns, API design, microservices, Docker, Kubernetes, event-driven architecture, and CI/CD pipelines. - Experience designing AI evaluation datasets, benchmark frameworks, quality gates, model performance metrics, and validation methodologies. - Experience building AI business cases, value realization frameworks, ROI assessments, and executive-level presentations. **Preferred Qualifications:** - Experience leading enterprise-scale Agentic AI and multi-agent deployments. - Knowledge of model fine-tuning, reinforcement learning, and model optimization techniques. - Familiarity with Model Context Protocol , AI orchestration platforms, and agent communication protocols. - Exposure to MLOps, LLMOps, prompt management, model monitoring, and AI compliance frameworks. The potential base pay range for this role, when annualized, is 227 000,00 zł - 421 400,00 zł. ## Skills ### Required - Python - AI/ML - Generative AI - Agentic AI - Copilot - Intelligent Automation - FastAPI - LangChain - LangGraph - Pandas - Cursor AI - GitHub Copilot - Microsoft 365 Copilot - OpenAI - Azure OpenAI - Anthropic Claude - LLM platforms - RAG - vector databases - embedding models - enterprise search - knowledge management architectures - AI evaluation frameworks - Graph APIs - OAuth2 - SSO - enterprise integration patterns - API design - microservices - Docker - Kubernetes - event-driven architecture - CI/CD pipelines ### Nice to have - model fine-tuning - reinforcement learning - model optimization techniques - Model Context Protocol - AI orchestration platforms - agent communication protocols - MLOps - LLMOps - prompt management - model monitoring - AI compliance frameworks --- Source: [Apply at iqvia.wd1.myworkdayjobs.com](https://iqvia.wd1.myworkdayjobs.com/en-US/IQVIA/job/Warsaw-Poland/AI-Automation-Architect_R1566377?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)