Lead Intelligent Solutions Engineer - Remote US
Sarah Cannon Research Institute
Summary
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.
Job description
Hands-On AI & Intelligent Automation Development
- Independently design, build, and maintain AI prompts and prompt libraries
- Build LLM-based agents and copilots
- Build chatbots, automation scripts, and end-to-end intelligent workflows
- Lead rapid prototyping and experimentation; convert successful pilots into scalable, production-grade solutions
- Own the day-to-day technical health of deployed solutions, including monitoring, troubleshooting, performance tuning, and reliability improvements
- Build and maintain robust integrations with enterprise platforms using APIs, services, data pipelines, and workflow orchestration tools
End-to-End Solution Architecture & Delivery Ownership
- Serve as the end-to-end AI solution architect for assigned initiatives, making architectural decisions and implementing them hands on
- Define and standardize solution patterns for agent architectures (RAG, tool calling, multi-agent orchestration), integration and data flow design, and environmental promotion and deployment strategies
- Own delivery planning with clearly defined value metrics, success criteria, and timelines
- Proactively identify technical risks, trade-offs, and dependencies and drive resolution
Use Case Execution & Enterprise Impact
- Lead execution for high-impact, enterprise-level AI and automation use cases
- Translate loosely defined business problems into durable, production-ready AI solutions
- Typical use cases include LLM-based agents for case intake, triage, summarization, and decision support; intelligent document processing; workflow automation for finance, operations, compliance, research, or shared services; embedded AI assistants integrated into enterprise systems
- Partner closely with business owners to validate outputs, refine logic, and ensure solutions are adopted, trusted, and operationalized
Governance, Security & Compliance
- Ensure all solutions comply with enterprise AI governance standards, ethical AI principles, and corporate policies
- Design and implement secure-by-default solutions, including documentation, traceability, monitoring, and audit readiness
- Anticipate and mitigate risks related to data privacy, access control, model behavior, hallucinations, bias, and operational resilience
- Partner with architecture, security, and data governance teams to ensure compliant solution design, especially within regulated environments
Evangelism, Enablement & Technical Leadership
- Evangelize AI and intelligent automation capabilities across the organization by engaging business stakeholders, translating opportunities into concrete solution concepts, and demonstrating value through working solutions
- Produce high-quality technical documentation, user guides, and SOPs
- Lead hands-on enablement sessions, workshops, and knowledge transfer to drive adoption
- Act as a technical mentor and thought leader, influencing standards, patterns, and best practices
- Collaborate with business and technology partners to continuously improve AI-enhanced workflows
Requirements
- Bachelor's Degree required
- Master's Degree preferred
- At least 7 years of experience in machine learning
- 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
- Healthcare, life sciences, or clinical research domain experience preferred
- Experience delivering solutions in regulated, compliance-driven environments preferred
Benefits
- Comprehensive benefits
- Physical well-being support
- Mental well-being support
- Financial well-being support
- Competitive compensation package
- Annual bonus
- Long-term incentive opportunities
Company overview
Sarah Cannon Research Institute (SCRI) is a premier oncology research organization and global leader in community-based clinical trials. Founded in 2004 through a joint venture between Tennessee Oncology and Hospital Corporation of America, SCRI has established itself as one of the world's leading cancer research institutions. With headquarters in Nashville, Tennessee, the institute operates across more than 200 locations in over 20 U.S. states and the United Kingdom, bringing together more than 1,300 research physicians. SCRI specializes in conducting first-in-human clinical trials, having completed over 850 such studies since its inception, and has contributed significantly to the development of approximately 10 FDA-approved cancer therapies since 1999. The organization focuses primarily on oncology research while also expanding into cardiology, gastroenterology, and other therapeutic areas. SCRI's unique community-based model enables patients to access cutting-edge clinical trials close to home, bridging the gap between academic research centers and local healthcare providers. The institute employs 501-1,000 professionals and maintains strategic partnerships with pharmaceutical and biotechnology companies to advance cancer treatment innovations.