Solutions Consultant working closely with clients to address compliance and risk challenges in crypto. Leading product demos and guiding implementation strategies for enterprise clients.
About the role
- Principal Solution Architect responsible for designing and operationalizing AI solutions at LPL Financial. Shaping an AI-first delivery lifecycle with a focus on innovation and compliance.
Responsibilities
- Architect enterprise-scale Agentic and Generative AI systems, including orchestration frameworks, multi-agent workflows, retrieval-augmented generation (RAG), and autonomous task execution patterns.
- Establish reference architectures for AI-first PDLC covering design, development, testing, deployment, monitoring, and risk controls.
- Partner with product and engineering teams to embed AI capabilities into advisor- and client-facing systems, internal tooling, and operational workflows.
- Lead the architectural design of model lifecycle pipelines, including training, fine-tuning, evaluation, and model governance.
- Define the architecture, tools, and methods required for an AI-native delivery lifecycle—integrating prompting, agent design, model testing, AI risk/controls, and continuous learning loops.
- Design integrations between AI systems, core platforms (ClientWorks, Account Lifecycle), and enterprise data ecosystems.
- Ensure all AI solutions meet LPL’s regulatory and compliance obligations.
Requirements
- 2+ years experience architecting Generative AI, Agentic AI, and ML systems at enterprise scale.
- 6+ years experience with cloud-native architecture background (AWS preferred), including microservices, Kubernetes, and event-driven patterns.
- 5+ years experience with LLMs, vector databases, embeddings, evaluators, guardrails, fine-tuning, and orchestration.
- 8+ years experience in Python; proficiency in C#, Java, or TypeScript is a plus.
- 6+ years expertise with ML Ops including CI/CD for ML, model versioning, monitoring, automated evaluation.
Benefits
- 401K matching
- health benefits
- employee stock options
- paid time off
- volunteer time off
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