Principal AI Engineer

Job Description

Job Description & Summary We’re a team that transforms vision into tech-enabled reality. We look for those who see technology not just as tools or platforms, but as the invisible infrastructure behind strategy, performance, and growth. We turn bold ideas into scalable, secure, and human-centered solutions. 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. Make a real impact In this dynamic environment, we are looking for an ambitious and self-driven Principal AI Engineer to join our Analytics & AI team. This role is ideal for a passionate technologist with deep expertise in Machine Learning, Artificial Intelligence, and modern software engineering, who is motivated by solving complex, real‑world problems and shaping technical direction. As a principal technical specialist, you will design and deliver advanced AI solutions, drive engineering excellence, support business development, and act as the go‑to person for technical challenges. Engage with business stakeholders to understand needs and design AI‑infused solutions addressing real business challenges Lead the architecture and delivery of end‑to‑end AI systems, including ML models, LLM-based components, APIs, and scalable cloud deployments Drive technical decision‑making and act as the primary engineering advisor for the team Guide the AI engineering team as they improve their DevOps skills and ensure they consistently follow best practices throughout the SDLC process Implement high‑quality, highly scalable, maintainable, production-grade code using modern engineering practices Integrate AI components with enterprise applications, data sources, and third‑party systems Ensure adherence to DevOps/MLOps best practices, including CI/CD, observability, testing, and cloud‑native workflows Stay ahead of market trends and emerging technologies in ML, GenAI, LLMs, MLOps, Agentic Workflows, software engineering, and cloud platforms Introduce new tools, frameworks, and patterns that elevate our AI delivery capability Guide internal teams and clients on AI adoption, feasibility, risks, and implementation strategy Support business development efforts by contributing to proposals, solution blueprints, and technical presentations Identify new opportunities where advanced analytics and AI can unlock value for our clients Mentor junior engineers and contribute to the broader PwC engineering community Lead knowledge-sharing initiatives and support capability building across the firm What you bring matters Degree in Computer Science, Electrical & Computer Engineering, or a related field; PhD is a plus Six (6) years of professional experience in production-based software engineering, ML engineering, AI systems, AI engineering, or data‑intensive application development Demonstrated technical leadership or ownership of complex systems Strong progra

Required Skills