AI Solutions Engineer
About the Role
Reporting to the head of AI strategy, you will be responsible for prototyping, launching, and scaling user-facing AI agent workflows that create measurable value across a commercial organization. You'll translate business challenges into functional pilots, iterate directly with stakeholders, and transition high-performing solutions into production.
Key Responsibilities
Build and iterate quickly
Design, test, and deploy multi-step AI agent workflows that support real operational tasks-such as research, summarization, insights synthesis, and opportunity analysis. Turn use cases into clear, actionable flows using existing platform components and provide reliable, citation-backed outputs.
Own the end‑user experience
Create prompts, workflows, and lightweight chat or UI interfaces as needed. Integrate AI‑generated outputs back into business systems. Write maintainable code with attention to performance, reliability, and cost efficiency.
Shape the development roadmap
Help prioritize generative AI initiatives, break work into sequenced deliverables, and de-risk new ideas through quick technical proofs of concept.
Required Experience & Qualifications
- 5+ years of professional experience.
- Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related discipline-or equivalent hands-on experience.
- Demonstrated ability to lead AI initiatives end to end-from prototype to production-using strong software engineering fundamentals.
- Proficiency in Python, SQL, and at least one of the following: Java, JavaScript/TypeScript, or C# (.NET).
- Experience shipping at least one AI application using enterprise retrieval with citation support.
- Hands-on experience with agent frameworks (e.g., Semantic Kernel, LangGraph, LangChain) and composing tools/functions into multi-step workflows.
- Strong API development and system integration skills.
- Experience with embeddings and vector/hybrid search tools (e.g., Azure AI Search, Elasticsearch/OpenSearch, FAISS, Pinecone).
- Ability to build simple UI or chat interfaces when needed.
- Strong engineering practices across testing, monitoring, reliability, latency, and cost optimization.
- Excellent analytical problem‑solving skills, communication abilities, and cross-functional collaboration mindset.
Work Expectations
- Hybrid role with 3 days per week in the office in Chicago.
Compensation
- Estimated salary range: $100,000-$150,000.
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