AI Solutions Engineer

Divergent is building the new industrial age. Every day, our teams design, manufacture, and assemble advanced systems for some of the world’s most demanding industries. Our integrated engineering and manufacturing platform transforms complex designs into production-ready solutions, helping customers move faster, build smarter, and deliver critical systems when they matter most. Divergent is a qualified Tier 1 supplier to global automotive OEMs and supports leading U.S. aerospace and defense companies. Join us and help push the boundaries of what can be built. Purpose We are looking for an AI Solutions Engineer who not only builds cutting‑edge generative‑AI systems but also serves as the AI Enablement lead for the organization. You’ll design, develop, and productionize large‑language and multimodal model solutions while dedicating a significant portion of your time to help teams adopt AI responsibly and effectively. The Role Help Build & Deploy AI Solutions Collaborate with cross-functional teams to integrate and optimize generative AI solutions into products and processes. Develop domain specific AI software using RAG and Agentic AI. Collaborate with the data engineers, product teams, people operations, and legal to ensure compliant and responsible AI. Implement usage monitoring and bias mitigation to improve result quality. AI Adoption & Enablement Act as the primar [... source excerpt omitted ...] AI expertise across the company. Partner with compliance and ethics teams to embed responsible‑AI checks into everyday workflows. Gather user feedback, translate it into product requirements, and drive iterative improvements to AI tools and platforms. Basic Qualifications B.S. in Computer Science/AI/ML (or related) with 3+ years AI/ML engineering experience. Proficient in programming languages such as Python. Understanding of LLMs and multimodal models with their performance considerations and use cases. Knowledge about prompt engineering, RAG, and building AI Agents. Experience with ML/LLM libraries such as vLLM, LangChain, PyTorch, and HuggingFace. Practical experience dev [... source excerpt omitted ...] d of gathering user feedback and iterating on AI tools to improve adoption. Ability to lawfully access information and technology that is subject to US export controls Preferred Qualifications M.S. in Computer Science, AI, ML, or related field. Proficiency in TypeScript. Knowledge of ethical AI, compliance frameworks, and safety standards. Experience with multimodal pipelines and traditional AI/ML methods. Hands‑on MLOps: CI/CD, Docker, Kubernetes. Work Environment Hybrid Pay Range $122,430—$168,340 USD What We Offer: Holistic Compensation Package: Enjoy a world-class compensation package that includes a competitive salary, equity plan, and discretionary results-based ince