3 days ago
Warsaw, PolandSenior
Responsibilities
- Design and deliver enterprise-grade Agentic AI, Copilot, RAG, and intelligent automation solutions.
- Architect multi-agent systems covering planning, reasoning, memory, workflow orchestration, tool integration, and human-in-the-loop controls.
- Define AI strategy, reference architectures, governance frameworks, standards, reusable accelerators, and platform decisions.
- Provide technical leadership for Python-based AI platforms, agent frameworks, automation services, APIs, enterprise integrations, and data processing pipelines.
- Integrate AI solutions with ERP, CRM, ITSM, HR, Finance, SharePoint, and other enterprise platforms.
- Design enterprise knowledge architectures, retrieval systems, embeddings, vectorization strategies, and scalable AI data pipelines.
- Create evaluation datasets, benchmark suites, golden test sets, validation frameworks, quality gates, and evaluation pipelines for prompts, RAG systems, copilots, and agents.
- Establish practices for observability, testing, hallucination detection, resiliency, disaster recovery, model monitoring, cost optimization, privacy, security, compliance, and responsible AI.
- Lead architecture reviews, support Architecture Review Boards, collaborate with cross-functional stakeholders, and oversee delivery across multiple AI initiatives.
- Develop AI business cases, value realization frameworks, ROI assessments, and executive-level presentations.
Requirements
- Bachelor's or master's degree in Computer Science, Engineering, Data Science, or a related discipline.
- 8+ years of software engineering experience, including at least 3 years focused on AI/ML, Generative AI, Agentic AI, Copilot, or intelligent automation solutions.
- Strong Python expertise for developing AI agents, APIs, automation services, data pipelines, orchestration frameworks, and evaluation platforms.
- Hands-on experience with FastAPI, LangChain, LangGraph, Pandas, or similar frameworks for enterprise AI applications.
- Experience with Cursor AI, GitHub Copilot, and Microsoft 365 Copilot.
- Extensive experience with OpenAI, Azure OpenAI, Anthropic Claude, and similar LLM platforms.
- Deep understanding of RAG, vector databases, embedding models, enterprise search, knowledge management architectures, and AI evaluation frameworks.
- Knowledge of Graph APIs, OAuth2, SSO, enterprise integration patterns, API design, microservices, Docker, Kubernetes, and event-driven architecture.
- 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 presentations.
- Preferred: experience leading enterprise-scale Agentic AI and multi-agent deployments.
- Preferred: knowledge of model fine-tuning, reinforcement learning, model optimization, Model Context Protocol, AI orchestration platforms, and agent communication protocols.
- Preferred: exposure to MLOps, LLMOps, prompt management, model monitoring, and AI compliance frameworks.
Benefits
- Full-time employment.
- Location options in India or Europe.
- Potential base pay range of 227 000,00 zł to 421 400,00 zł when annualized, with possible incentive plans, bonuses, and health and welfare benefits.
Tech Stack
Categories
About IQVIA
IQVIA provides clinical research services, healthcare data analytics, and technology platforms to pharmaceutical, biotech, medical device, and healthcare organizations. It sells contracted R&D and commercialization services, software, and data subscriptions that help run trials, generate real-world evidence, and guide go-to-market decisions. Formed by the merger of Quintiles and IMS Health, the company is headquartered in Durham, North Carolina and is publicly traded on the NYSE (ticker: IQV).