Solutions Engineering Intern - Commerical Team; Chicago

(Chicago based) Applied AI Intern – Salt Os

Office of the CBO & Sales Solutions

Help Us Build the Future of AI for Regulated Industries

Salt AI is founded by industry veterans in high-performance computing (HPC), artificial intelligence and life sciences. Salt AI is dedicated to providing reliable and transparent AI solutions that advance the underlying goals and purpose of life sciences teams. We’ve focused our collective expertise on a tech-enabled offering that realizes successful outcomes faster and more efficiently than previously imagined.

Salt is building the intelligence layer for the enterprise. In a world where AI is fragmented across models, tools, and data silos, Salt unifies them through a compliance-first orchestration platform. Our OS turns regulated industries like life sciences into intelligent, adaptive systems—where autonomous AI agents operate securely, govern ably, and in harmony. Salt is defining how enterprises will deploy and scale AI responsibly at the foundation level.

Salt AI is looking for a motivated intern to work directly with our Chief Business Officer and Sales Solutions team. You’ll help design, prototype, and implement AI-driven solutions across pharmaceutical, biotech, and enterprise applications—hands‑on exposure to how agentic AI can transform real‑world R&D and commercial workflows. You’ll work directly with the Salt toolkit alongside experienced scientists, engineers, and forward‑deployed solutions experts.

This is a ground‑floor opportunity at the intersection of AI orchestration infrastructure, life sciences, and enterprise go‑to‑market—helping shape how regulated organizations adopt AI in their most critical processes.

• Computational protein design workflows to accelerate therapeutic discovery
• Clinical trial design with agentic leverage
• Drug discovery pipelines using multi-agent coordination (e.g., modeling, simulation, optimization, critic agents)
• Personalization engines driving omnichannel customer touchpoints
• AI copilots for genetic counseling
• Full‑team workflow design for agent‑led financial restructurings

• Architect and iterate on agent‑based systems that execute complex workflows, particularly in drug discovery and life sciences R&D.
• Work alongside the CBO and solutions engineers to understand client workflows end‑to‑end, from initial discovery through prototype delivery.
• Build functional workflow prototypes using Salt’s orchestration platform, translating client and research problems into working demonstrations.
• Reproduce and evaluate existing AI models and research papers to assess their applicability within Salt’s infrastructure.
• Help identify opportunities within drug discovery and adjacent domains where AI can meaningfully enhance processes and outcomes.
• Support the development and optimization of ML and deep learning models for research applications, adapting them for new use cases.
• Research domain‑specific requirements across life sciences, financial services, and energy—feeding findings back to the commercial and product teams.
• Contribute to reusable templates, documentation, and technical content that enable partners to self‑serve and scale.
• Stay current with emerging AI trends, agent frameworks, and orchestration tooling, and share insights with the broader team.
• Collaborate cross‑functionally to translate scientific and business problems into AI‑driven approaches.

• Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Data Science, Bioinformatics, Computational Biology, or a related field.
• Experience with LLMs, agent frameworks, or workflow orchestration tools (e.g., Lang Chain, Auto Gen, Bio Nemo, or similar).
• Familiarity with AI‑assisted coding tools (e.g., Claude Code, Codex, or similar).
• Academic or personal AI/ML project experience—you’ve built things, not just studied them.
• Exposure to analyzing or reproducing research papers.
• Coursework or project work related to life sciences, bioinformatics, or computational biology.
• Strong analytical and problem‑solving skills.
• Effective communication and teamwork skills—able to translate technical concepts into…