Software Engineer Senior- AI Engineer

AI Engineer

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Software Engineer Senior within PNC's Technology organization, you will be based in Dallas, TX or Pittsburgh, PA. PNC is seeking an AI Engineer with strong expertise in building and deploying LLM-powered, production-grade systems. This role requires end-to-end ownership across model development, optimization, and real-world integration.

Core Skills & Expertise

• LLM Fine-Tuning & Modeling: Hands-on experience with PEFT, LoRA/QLoRA, and instruction tuning; building domain-adapted models using curated datasets.
• LLM Optimization & Prompting: Deep understanding of sampling strategies (temperature, top-k/top-p), prompt engineering, and techniques to improve accuracy, reduce hallucinations, and control outputs.
• Production AI System Integration: Experience deploying LLMs into real-world environments, including RAG pipelines, API orchestration, agents, and multi-turn conversational systems integrated with enterprise data.
• Model Serving & Performance Engineering: Proficiency with modern inference frameworks (vLLM, TGI, Triton), quantization (4/8-bit), and optimizing for latency, throughput, and scalability.
• End-to-End ML Lifecycle Ownership: Proven ability to build and manage pipelines across training, deployment, monitoring, and evaluation, including regression tracking and performance metrics.
• Agentic & Autonomous Systems: Experience designing AI agents and multi-agent workflows, balancing model reasoning with deterministic business logic.

Tech Stack & Foundations: Strong programming in Python, with frameworks like PyTorch/TensorFlow, and libraries such as HuggingFace Transformers. Experience with vector databases, embeddings, and RAG architectures. Familiarity with financial services data and regulated environments. Knowledge of Responsible AI, governance, and model risk frameworks.

Focus on production-quality engineering, scalability, and cost optimization.

PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.