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# Principal / Senior Solutions Engineer - Top-of-Stack & Agentic AI

- **Company:** Kelly Services Inc.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Software Code Optimization, Computer Programming, High-Level Architecture, Python (Programming Language), Machine Learning, Natural Language Processing, Software Systems, Pytorch, Large Language Models, Multi-Agent Systems, Deep Learning, Information Technology, Optimization Algorithms, HuggingFace, TensorRT, Virtual Agents
- **Published:** September 11, 2026
- **Apply:** https://dejobs.org/x/x/425DA78C43F549E3A1FD4C3DFAF4934B/job/

## About the Role

· 5+ years of combined experience in applied AI engineering, systems engineering, or technical pre-sales/solutions architecture with enterprise customers.

· Deep theoretical and practical knowledge of model architectures, transformer fundamentals, model fine-tuning, and inference/training optimization techniques (e.g., quantization, model parallelism, memory optimization).

· Hands-on experience designing or deploying autonomous agent frameworks, multi-agent orchestration, tool use, and structured workflow automation.

· Strong programming proficiency in Python and modern deep learning frameworks (PyTorch, Hugging Face, TensorRT-LLM, vLLM, or equivalent runtimes).

· Demonstrated customer-facing acumen with the ability to run technical discovery, design proofs-of-value (PoVs), and effectively present complex AI concepts to executive and research audiences.

Desired Skills & Experience

· Academic or commercial research background in machine learning, natural language processing, or autonomous systems prior to recent generative AI cycles.

· Experience addressing enterprise concerns around data privacy, secure model inference, deterministic agent behavior, and evaluation benchmarks.

· Prior experience at an AI-native startup, enterprise AI software vendor, or frontier applied AI organization.

· Master's or Ph.D. in Computer Science, Machine Learning, Computational Mathematics, or related field, or equivalent practical experience.

## Description

We are seeking a Solutions Engineer - Agentic AI & Model Optimization for a Full-Time role based in the California . Our client is a well-capitalized, next-generation enterprise technology provider purpose-building advanced AI software systems, autonomous agent factories, and scalable inference/training optimization pipelines. Their engineering platform enables enterprise customers to build, fine-tune, optimize, and deploy high-impact AI workloads and multi-agent workflows into secure production environments., This is a premier opportunity to serve as the leading technical voice at the frontier of applied enterprise artificial intelligence. The #1 feature of this opportunity is the opportunity to deploy advanced model architectures and agentic frameworks backed by world-scale dedicated compute : you will partner with commercial leadership to architect autonomous agent systems, run model optimization evaluations, and demonstrate enterprise feasibility to Chief AI Officers and engineering leadership. We are seeking a researcher-grade or senior systems technologist with deep foundational AI knowledge (dating beyond recent trends) who combines hands-on engineering depth with consultative, customer-facing polish and leadership ambition. In exchange, you will work on state-of-the-art problems with massive computing support in a high-autonomy, growth-focused culture.