
Lead Intelligent Solutions Engineer
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Texas.
• Design, develop, and sustain AI prompts, prompt libraries, LLM-based agents, copilots, chatbots, automation scripts, and comprehensive intelligent workflows.
• Spearhead rapid prototyping and experimentation, transforming successful pilots into scalable, production-quality solutions.
• Take ownership of monitoring, troubleshooting, performance optimization, and reliability enhancements for deployed solutions.
• Construct and uphold enterprise integrations utilizing APIs, services, data pipelines, and workflow orchestration tools.
• Act as the end-to-end AI solution architect and make practical architectural decisions.
• Define and standardize agent architectures, integration and data-flow designs, and deployment strategies for development, testing, and production.
• Oversee delivery planning, value metrics, success criteria, and timelines.
• Identify technical risks, trade-offs, and dependencies, and drive their resolution.
• Lead impactful enterprise AI and automation use cases.
• Convert loosely defined business challenges into robust, production-ready AI solutions.
• Create solutions for case intake, triage, summarization, decision support, intelligent document processing, workflow automation, and embedded AI assistants.
• Collaborate with business owners to validate outputs, refine logic, and operationalize reliable solutions.
• Ensure adherence to enterprise AI governance standards, ethical AI principles, and corporate policies.
• Design secure-by-default solutions with thorough documentation, traceability, monitoring, and audit readiness.
• Mitigate risks associated with data privacy, access control, model behavior, hallucinations, bias, and operational resilience.
• Collaborate with architecture, security, and data governance teams within regulated environments.
• Engage stakeholders and transform opportunities into tangible AI solution concepts.
• Produce technical documentation, user manuals, and standard operating procedures (SOPs).
• Facilitate enablement sessions, workshops, and knowledge transfer.
• Mentor technical teams and influence AI and automation standards, patterns, and best practices.
• Work alongside business and technology partners to enhance AI-driven workflows.
• Bachelor's Degree is required.
• Master's Degree is preferred.
• A minimum of 7 years of experience in machine learning is necessary.
• Experience in healthcare, life sciences, or clinical research domains is preferred.
• Proven experience in delivering solutions within regulated, compliance-driven environments is preferred.
• Demonstrated capability in delivering complex, production-grade AI and automation solutions as a practical builder.
• In-depth expertise in prompt engineering and applying Generative AI to enterprise workflows.
• Strong programming skills, particularly in Python and/or JavaScript.
• Experience with APIs, data transformation, version control, and deployment practices.
• Familiarity with developing 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 is strongly preferred.
• Ability to maintain enterprise-grade security, reliability, and governance while rapidly prototyping.
• Capacity to function as a senior, end-to-end AI solution architect while remaining hands-on.
• Comfortable managing ambiguous, high-visibility initiatives with minimal guidance.
• Strong skills in stakeholder influence within a matrixed environment.
• Proven track record of transforming concepts into shipped, adopted, enterprise solutions.
• Ability to operate at strategic, architectural, and engineering levels.
• Capability to influence change and drive adoption across teams.
• Ability to prioritize, execute, and deliver results under shifting requirements.
• Must reside in the United States; visa sponsorship is not available.
• Comprehensive Total Rewards benefits supporting physical, mental, and financial well-being.
• Competitive compensation package.
• Annual bonus or long-term incentive opportunities may be provided.
• Equity may be included in compensation.
• Relocation assistance is not available.
• Visa sponsorship is not available.
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