LPL Financial is seeking a highly technical and hands-on AI engineering leader to help design, build, and deploy next-generation AI solutions for our advisors and business partners.

This role is primarily an individual contributor position responsible for developing production-grade AI and machine learning capabilities while partnering closely with product, engineering, data, and business teams. The ideal candidate combines deep technical expertise in AI/ML and Generative AI with the ability to influence architecture, mentor engineers, and drive adoption of AI solutions across the enterprise.

This position offers the opportunity to shape LPL's AI platform strategy, build advisor-facing AI capabilities, and help establish engineering best practices for scalable, secure, and responsible AI. Over time, this role may provide leadership opportunities for a small team of AI engineers.

• Design, develop, and deploy production-grade AI/ML solutions that support LPL Financial's business objectives and advisor experience.

• Architect and build AI-powered applications using modern technologies such as LLMs, generative AI, agentic workflows, RAG architectures, and machine learning models.

• Lead the end-to-end software engineering lifecycle for AI solutions, including design, development, testing, deployment, monitoring, and optimization.

• Partner with Wealth Management, Operations, Risk, Marketing, Product, and Engineering teams to identify high-value AI use cases and translate business requirements into scalable technical solutions.

• Develop and deliver AI-enabled products, platforms, and tools that improve advisor productivity, operational efficiency, and client experience.

• Build and maintain cloud-native AI solutions utilizing AWS services, including Bedrock and related AI/ML technologies.

• Design and implement APIs, microservices, and platform services that enable reusable and scalable AI capabilities across the enterprise.

• Establish engineering best practices for AI development, model evaluation, deployment, observability, security, and responsible AI.

• Collaborate with data, engineering, and architecture teams to ensure AI solutions are secure, compliant, performant, and aligned with enterprise standards.

• Evaluate emerging AI technologies, frameworks, and tooling and recommend opportunities for adoption within LPL.

• Provide technical leadership, mentoring, and architectural guidance to engineers and contribute to the growth of a future AI engineering team.

• Present technical solutions, architecture decisions, and AI innovation opportunities to business and technology stakeholders.

• Minimum of 8 years of software engineering, AI/ML engineering, or machine learning development experience, with a proven track record of building and deploying production AI solutions in complex enterprise environments.

• Strong hands-on programming expertise in Python and experience with modern AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, LangChain, or similar technologies.

• Experience designing, developing, and deploying Generative AI and machine learning solutions, including LLM-based applications, NLP, RAG architectures, AI agents, model serving, or related AI technologies.

• Strong cloud engineering experience with AWS, Azure, or GCP, including experience deploying scalable AI/ML workloads and cloud-native applications.

• Experience working in highly regulated industries such as Wealth Management, Financial Services, Banking, FinTech, Insurance, Healthcare, or similar environments with strong governance, security, risk, and compliance requirements.