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Nashville, Tennessee, United States
Remote only
It’s More Than a Career, It’s a Mission.
Our people are the foundation of our success. By joining our growing team at Sarah Cannon Research Institute (SCRI), a subsidiary of McKesson, you will have the opportunity to become part of one of the largest community-based cancer programs to advance oncology treatments and improve outcomes for cancer patients across the globe. We look for mission-driven candidates who have a desire to advance the fight against cancer and make a difference in the lives of patients diagnosed with cancer every day.
Our Mission
People who live with cancer – those who work to prevent it, fight it, and survive it – are at the heart of every decision we make. Bringing the most innovative medical minds together with the most passionate caregivers in their communities, we are transforming care and personalizing treatment. Through clinical excellence and cutting-edge research, SCRI is redefining cancer care around the world.
The Lead Intelligent Automation 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.
Duties include but are not limited to:
Hands‑On AI & Intelligent Automation Development (Primary Accountability)
Independently design, build, and maintain:
AI prompts and prompt libraries
LLM based agents and copilots
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
Environmental promotion and deployment strategies (dev/test/prod)
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, particularly complex or manual processes with measurable value potential
Translate loosely defined business problems into durable, production‑ready AI solutions
Typical use cases include, but are not limited to:
LLM‑based agents for case intake, triage, summarization, and decision support
Intelligent document processing across emails, PDFs, forms, and unstructured content
Workflow automation for finance, operations, compliance, research, or shared services
Embedded AI assistants integrated into enterprise systems to reduce manual effort, errors, and cycle time
Partner closely with business owners to validate outputs, refine logic, and ensure solutions are adopted, trusted, and operationalized
Governance, Security & Compliance (Lead‑Level Accountability)
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
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 across AI and automation initiatives
Collaborate with business and technology partners to continuously improve AI‑enhanced workflows
Mandatory: The following are mandatory expectations of all SCRI employees.
Practices and adheres to the “Code of Conduct” philosophy and “Mission and Value Statement.”
During your employment with SCRI, you will be routinely assigned training requirements. You are expected to complete any training assignments by the due date.
Minimum Qualifications:
Bachelor's Degree required, Master's Degree preferred
At least 7 years of experience in machine learning
Knowledge: A body of information needed to perform tasks; May be obtained through education, training or experience.
Advanced knowledge of generative AI, machine learning, NLP, agentic frameworks, and AI solution architectures
Strong understanding of AI governance, MLOps, and enterprise risk management
Healthcare, life sciences, or clinical research technology domain knowledge.
Skills: The proficiency to perform a certain task.
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
Abilities: An underlying, enduring trait useful for performing duties.
Ability to operate simultaneously at strategic, architectural, and engineering levels.
Ability to influence change and drive adoption across teams.
Ability to prioritize, execute, and deliver outcomes under evolving requirements.
Preferred Qualifications:
Healthcare, life sciences, or clinical research domain experience
Experience delivering solutions in regulated, compliance‑driven environments
This is a remote position based in the United States. Relocation is not available.
About Sarah Cannon Research Institute
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. Please click here to learn more about our research offerings.
We care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse colleague population and ensure they are the healthiest versions of themselves. For more information regarding benefits through our parent company, McKesson, please click here.
As part of Total Rewards, we are proud to offer a competitive compensation package. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.
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McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
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We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
