[Hiring] Lead Intelligent Solutions Engineer @Sarah Cannon Research Institute

Role Description

The Lead Intelligent Solutions Engineer is a senior, hands-on technical builder-leader accountable for delivering AI and intelligent automation solutions end-to-end, from problem framing through production deployment and sustained value realization. This role personally designs, builds, and scales LLM- and agent-based automations while owning solution architecture, technical quality, delivery outcomes, and enterprise standards.

This position requires deep technical expertise, strong architectural judgment, and the ability to independently drive complex, ambiguous initiatives to completion. The role is not oversight-only; it is focused on custom AI development, intelligent automation, and solution execution using large language models, agents, orchestration frameworks, and enterprise integrations.

In addition, this role is expected to evangelize and engage the business, translating opportunities and problems into tangible, trusted, production-ready AI solutions that measurably improve productivity, quality, cycle time, and decision-making across SCRI.

This is a remote position based in the United States. Relocation assistance and visa sponsorship are not available.

Qualifications

• Bachelor's Degree required, Master's Degree preferred
• At least 7 years of experience in machine learning

Requirements

• Proven experience delivering complex, production-grade AI and automation solutions as a hands-on builder
• Deep proficiency in prompt engineering and applying Generative AI to enterprise workflows
• Strong programming skills (typically Python and/or JavaScript) with experience in APIs, data transformation, version control, and deployment practices
• Demonstrated experience building agentic AI solutions, including RAG architectures, orchestration frameworks, and tool-calling patterns
• Experience with Microsoft AI ecosystem tools (e.g., Copilot Studio, Power Platform, Azure AI / Azure OpenAI) strongly preferred
• Ability to rapidly prototype while maintaining enterprise-grade security, reliability, and governance
• Demonstrated ability to operate as a senior, end-to-end AI solution architect while remaining hands-on
• Comfortable owning ambiguous, high-visibility initiatives with minimal direction
• Strong stakeholder influence skills; able to align technical decisions with business outcomes in a matrixed environment
• Track record of translating concepts into shipped, adopted, enterprise solutions

Benefits

• Comprehensive benefits to support physical, mental, and financial well-being
• Competitive compensation package determined by performance, experience, skills, equity, and geographical markets
• Other compensation options, such as an annual bonus or long-term incentive opportunities

Company Description

Sarah Cannon Research Institute (SCRI) is one of the world’s leading oncology research organizations conducting community-based clinical trials. Focused on advancing therapies for patients over the last three decades, SCRI is a leader in drug development. In 2022, SCRI formed a joint venture with former US Oncology Research to expand clinical trial access across the country. It has conducted more than 850 first-in-human clinical trials since its inception and contributed to pivotal research that has led to the majority of new cancer therapies approved by the FDA in the past decade. SCRI’s research network brings together more than 1,300 physicians who are enrolling patients into clinical trials at more than 200 locations in 20+ states across the U.S.