> Markdown version of [/jobs/ext/3586661-lead-intelligent-solutions-engineer-remote-us](https://www.wearedevelopers.com/jobs/ext/3586661-lead-intelligent-solutions-engineer-remote-us). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Intelligent Solutions Engineer - Remote US - **Company:** McKesson - **Location:** Houston, TX, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Microsoft Azure, Computer Programming, Data Governance, Data Transformation, Decision Support Systems, Python (Programming Language), Machine Learning, Performance Tuning, Rapid Prototyping Process, OpenAI, Software Deployment, Data Streaming, Chatbots, Prompt Libraries, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Agentic-AI, Microsoft Copilot Studio, AI Platforms, Kubernetes, Deployment Automation, Embedded AI, Azure AI, Intelligent Document Processing, Software Version Control, Data Pipelines - **Published:** October 5, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88529006/1 ## About the Role * 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, compliancedriven environments, * Proven experience delivering complex, productiongrade AI and automation solutions as a handson 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 toolcalling 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 enterprisegrade security, reliability, and governance * Demonstrated ability to operate as a senior, endtoend AI solution architect while remaining handson * Comfortable owning ambiguous, highvisibility 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. ## Description The Lead Intelligent Solutions Engineer is a senior, handson technical builderleader accountable for delivering AI and intelligent automation solutions endtoend, from problem framing through production deployment and sustained value realization. This role personally designs, builds, and scales LLM and agentbased 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 oversightonly; 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, productionready AI solutions that measurably improve productivity, quality, cycle time, and decisionmaking 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: HandsOn 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 EndtoEnd 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 highimpact, enterpriselevel AI and automation use cases, particularly complex or manual processes with measurable value potential * Translate loosely defined business problems into durable, productionready AI solutions * Typical use cases include, but are not limited to: + LLMbased 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 (LeadLevel Accountability) * Ensure all solutions comply with enterprise AI governance standards, ethical AI principles, and corporate policies * Design and implement securebydefault 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 highquality technical documentation, user guides, and SOPs * Lead handson 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 AIenhanced workflows