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Applied AI Solutions Engineer
LPL Financial. Design and build AI-enabled applications, copilots, assistants, and workflow automation solutions on top of the AI Hub platform .
Posted 4/11/2026full-timeFort Mill • California, North Carolina • 🇺🇸 United StatesSeniorLead💰 $115,141 - $191,902 per yearWebsite
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Design and build AI-enabled applications, copilots, assistants, and workflow automation solutions on top of the AI Hub platform
- Integrate enterprise data, business services, and tools into governed, compliant AI experiences
- Implement orchestration logic, tool-calling flows, prompt chains, and human-in-the-loop patterns where appropriate
- Partner closely with business, product, risk, and platform teams to shape use cases into production-ready solutions
- Identify reusable components, patterns, and lessons learned to inform platform evolution and enablement efforts
- Help define and meet non-functional requirements related to accuracy, explainability, security, cost, latency, and supportability
- Participate in pilots, experiments, and production releases for AI-enabled solutions
Requirements
What you’ll need- 7–12 years of experience building software applications and services in production environments
- Python preferred
- 7–12 years of experience integrating APIs, enterprise systems, and data services
- 2–3 years of hands-on experience with AI/LLM application development, including prompt engineering, retrieval, and orchestration frameworks
- Ability to move from loosely defined ideas to implemented, working solutions
- Strong collaboration and communication skills across technical and non-technical stakeholders
Benefits
Comp & perks- 401K matching
- health benefits
- employee stock options
- paid time off
- volunteer time off
- highly competitive total rewards package
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonAI application developmentAPI integrationorchestration frameworksprompt engineeringworkflow automationdata servicesproduction environmentscompliancenon-functional requirements
Soft Skills
collaborationcommunicationproblem-solvingstakeholder engagementadaptabilitycritical thinkingteamworkcreativityleadershiporganizational skills