Lead Intelligent Solutions Engineer - Remote US

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 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

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

Minimum Qualifications:

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

Preferred Qualifications:

• •Healthcare, life sciences, or clinical research domain experience
• •Experience delivering solutions in regulated, compliance‑driven environments

Skills:

• •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:

• •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.

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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+