Senior AI Engineer - Process Excellence & Intelligence
PricewaterhouseCoopers
- Location
- Athens
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 236 approvals (FY2023)
- Posted
- Aug 26, 2026
Skills
About this role
Job Description & Summary We are a team that turns complexity into opportunity. We look for the curious and collaborative – ready to commit to growth, think boldly and make an impact from day one. SHAPING TOMORROW Make a real impact, today, and tomorrow, through work that matters. Here, you will tackle today's toughest challenges with a future-focused mindset; so our clients turn to us first when it matters most. We are looking for an experienced Senior Operations AI Engineer (Senior Associate level) to join our Process Excellence & Intelligence team in Athens, within our broader Business Operations team. Our mission is to help clients understand, reimagine, and continuously improve their operations through business-led and data-driven approaches, supported by technology, that deliver measurable and sustainable benefits. You will sit at the intersection of AI engineering and operational excellence — identifying and translating identified process improvement opportunities into intelligent, autonomous systems that monitor, reason, and optimize operational environments. You will combine cutting-edge AI capabilities with deep business process understanding to operationalize transformation initiatives and act as the go-to technical authority for your team and clients alike. Our team supports organizations across a range of sectors, including Energy, Manufacturing, Financial Services, and the Public Sector, throughout their operational excellence transformation journey - from strategy to execution. We help our clients achieve superior customer experiences, greater cost efficiency, productivity gains, and sustainable improvements in organizational performance. MAKE A REAL IMPACT Client Engagements & Business Development Own technical project deliverables and presentations on client-facing engagements Guide clients on AI adoption, feasibility, and implementation approach across operational transformation initiatives Contribute to proposal development and opportunity shaping with AI and technical perspectives Present AI-driven recommendations and implementation strategies to senior client leadership Process Excellence Translation & AI Solution Design Translate process analysis findings and improvement opportunities into intelligent AI-powered solutions that operationalize recommendations and enable autonomous optimization of business workflows Work with process mining and AI-driven insights to understand operational patterns and recommend AI solutions to address inefficiencies Build intelligent technical solutions and AI-enabled platforms that support transformation and automation initiatives AI Engineering & Intelligent Systems Build and deploy ML models using PyTorch, TensorFlow and Scikit-learn for operational optimization Develop agentic AI tools with LangChain, LangGraph, AutoGen or CrewAI that autonomously monitor, reason and recommend actions Design multi-agent systems with RAG pipelines, vector databases and tool-calling architectures for end-to-end operational workflows Deliver production-grade AI systems — APIs, ML pipelines and cloud deployments on Azure, AWS or GCP using Docker and Kubernetes Leverage AI-assisted development tools like Cursor, Claude and GitHub Copilot to accelerate prototyping Implementation & Technical Leadership Support clients throughout the implementation and adoption of AI-powered solutions Collaborate effectively across process excellence teams, clients, and stakeholders to build trusted relationships and drive adoption Lead technical decision-making and act as the primary AI engineering advisor for the team Mentor team members and lead knowledge-sharing initiatives to build AI capability across the organization WHAT YOU BRING MATTERS Excellent academic background from a top-tier university in Computer Science, Engineering, Data Science, Mathematics, Business Administration, or related field 2-5 years of professional experience in ML