Lead Intelligent Solutions Engineer
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Job Description
Lead AI engineer building production LLM, agent, and automation solutions for SCRI, a community-based oncology research organization. Owning architecture, delivery, governance, and enterprise adoption.
Responsibilities:
- Design, build, and maintain AI prompts, prompt libraries, LLM-based agents, copilots, chatbots, automation scripts, and end-to-end intelligent workflows
- Lead rapid prototyping and experimentation and convert successful pilots into scalable, production-grade solutions
- Own monitoring, troubleshooting, performance tuning, and reliability improvements for deployed solutions
- Build and maintain enterprise integrations using APIs, services, data pipelines, and workflow orchestration tools
- Serve as end-to-end AI solution architect and make hands-on architectural decisions
- Define and standardize agent architectures, integration and data-flow designs, and dev/test/prod deployment strategies
- Own delivery planning, value metrics, success criteria, and timelines
- Identify technical risks, trade-offs, and dependencies and drive resolution
- Lead high-impact enterprise AI and automation use cases
- Translate loosely defined business problems into durable, production-ready AI solutions
- Develop solutions for case intake, triage, summarization, decision support, intelligent document processing, workflow automation, and embedded AI assistants
- Partner with business owners to validate outputs, refine logic, and operationalize trusted solutions
- Ensure compliance with enterprise AI governance standards, ethical AI principles, and corporate policies
- Design secure-by-default solutions with documentation, traceability, monitoring, and audit readiness
- Mitigate risks related to data privacy, access control, model behavior, hallucinations, bias, and operational resilience
- Partner with architecture, security, and data governance teams in regulated environments
- Engage stakeholders and translate opportunities into concrete AI solution concepts
- Produce technical documentation, user guides, and SOPs
- Lead enablement sessions, workshops, and knowledge transfer
- Mentor technical teams and influence AI and automation standards, patterns, and best practices
- Collaborate with business and technology partners to improve AI-enhanced workflows
Requirements:
- Bachelor's Degree required
- Master's Degree preferred
- At least 7 years of experience in machine learning
- Healthcare, life sciences, or clinical research domain experience preferred
- Experience delivering solutions in regulated, compliance-driven environments preferred
- 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
- Experience with APIs, data transformation, version control, and deployment practices
- Experience building agentic AI solutions, including RAG architectures, orchestration frameworks, and tool-calling patterns
- Experience with Microsoft AI ecosystem tools such as Copilot Studio, Power Platform, Azure AI, or Azure OpenAI strongly preferred
- Ability to maintain enterprise-grade security, reliability, and governance while rapidly prototyping
- 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 in a matrixed environment
- Track record of translating concepts into shipped, adopted, enterprise solutions
- Ability to operate 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
- Must be based in the United States; visa sponsorship is not available
Benefits:
- Comprehensive Total Rewards benefits supporting physical, mental, and financial well-being
- Competitive compensation package
- Annual bonus or long-term incentive opportunities may be offered
- Equity may be included in compensation
- Relocation assistance is not available
- Visa sponsorship is not available
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