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PreSales Collective · 23 hours ago

GenAI Solutions Engineer, Sales

Chicago, IL

Full-time

Hybrid

Senior Level

$140K/yr - $190K/yr

5+ years exp

Tempus is building the world’s leading precision medicine platform by applying Generative AI to improve healthcare delivery. The GenAI Solutions Engineer will work closely with the sales team to identify and implement AI-driven solutions that enhance customer engagement and operational efficiency.

Communities

Responsibilities

Partner with customer leaders to uncover high-impact use cases where GenAI and Tempus OS can deliver measurable value

Design and implement agent-based solutions — from workflow automation to patient communication, insight generation, or clinical operations

Enable customer leaders by revolutionizing their processes to enhance their healthcare provider engagement and experience through AI-derived actions and insights

Build rapid prototypes / proof-of-concepts to validate ideas and alignment

Work directly with LLMs and agent frameworks (prompt design, chaining, context management, evaluation, and guardrails)

Lead moderate-to-full implementations in collaboration with customer teams or internal engineers

Build integrations between customer data systems, APIs, and Tempus OS services

Configure, test, iterate, tune performance, and ensure reliability

Evangelize best practices in AI safety, observability, and responsible deployment

Serve as the customer’s technical and strategic bridge to Tempus — shaping our roadmap through real-world feedback

Create solution templates, reference architectures, and internal learning artifacts that make future deployments faster and safer

Train business users, power users, and internal champions on interacting with deployed agents

Qualification

GenAI applicationsPythonAI solutions designAPIsWebhooksPrompt engineeringHealthcare experienceCommunication skillsProject management

Required

5+ years in technical/customer-facing roles (solutions engineering, AI/ML implementation, systems architecture)

Hands-on experience building or deploying GenAI applications (agents, chat interfaces, or LLM-driven workflows)

Strong programming skills (Python, JavaScript or similar) and familiarity with APIs, webhooks, integration patterns, data pipelines

Experience designing or building prototype-to-production AI solutions (not just proof-of-concepts) — including observability, A/B testing, error-handling, scaling

Familiarity with prompt engineering, RAG, model evaluation, and orchestration frameworks (LangChain, LlamaIndex, or similar)

Excellent communication and storytelling skills — able to interface with both clinicians and engineers

Proven ability to drive projects from discovery through delivery, balancing experimentation and execution

Preferred

Experience in healthcare, life sciences, or regulated industries. Understanding of data privacy, PHI handling, and compliance in AI systems

Experience working with customers who have limited engineering resources. Track record of creating demos, proofs of concept, or internal enablement tools that accelerate adoption

Familiarity with frameworks or tools such as LangChain, Retrieval-Augmented Generation (RAG), agent orchestration frameworks

Experience or understanding working with CRM platforms (e.g. Salesforce) and data visualization tools (e.g. Looker, Tableau)

Interest or familiarity with sales processes from prospecting to customer management, and customer engagements