AVP – Principal AI Engineer

• Design, develop, and deploy production-grade AI/ML solutions supporting LPL Financial’s business objectives and advisor experience
• Architect and build AI-powered applications using 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 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 using AWS services, including Bedrock and related AI/ML technologies
• Design and implement APIs, microservices, and platform services enabling reusable and scalable AI capabilities
• Establish engineering best practices for AI development, model evaluation, deployment, observability, security, and responsible AI
• Collaborate with data, engineering, and architecture teams to ensure solutions are secure, compliant, performant, and aligned with enterprise standards
• Evaluate emerging AI technologies, frameworks, and tooling and recommend adoption opportunities
• Provide technical leadership, mentoring, and architectural guidance to engineers
• Present technical solutions, architecture decisions, and AI innovation opportunities to business and technology stakeholders

Requirements

• Minimum of 8 years of software engineering, AI/ML engineering, or machine learning development experience
• Proven track record of building and deploying production AI solutions in complex enterprise environments
• Strong hands-on programming expertise in Python
• Experience with TensorFlow, PyTorch, scikit-learn, LangChain, or similar AI/ML frameworks
• Experience designing, developing, and deploying Generative AI and machine learning solutions
• Experience with LLM-based applications, NLP, RAG architectures, AI agents, model serving, or related AI technologies
• Strong cloud engineering experience with AWS, Azure, or GCP
• Experience deploying scalable AI/ML workloads and cloud-native applications
• Experience in highly regulated industries such as Wealth Management, Financial Services, Banking, FinTech, Insurance, Healthcare, or similar
• Understanding of supervised learning, unsupervised learning, deep learning, NLP, recommendation systems, and predictive analytics
• Experience delivering AI solutions from concept through production deployment, monitoring, and optimization
• Strong software engineering fundamentals, including APIs, microservices, scalable architectures, testing, and CI/CD practices
• Experience translating business requirements into technical solutions
• Knowledge of responsible AI principles, model governance, security, privacy, and risk management
• Demonstrated technical leadership, mentoring, and cross-functional influence
• Master's degree in Computer Science, Engineering, Data Science, Statistics, or a related quantitative field
• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Statistics, or a related quantitative field

Core Competencies

Demonstrates expertise in designing, developing, and deploying AI/ML solutions, with a strong focus on cloud-native applications and scalable architectures. Proven ability to lead technical teams, mentor engineers, and translate business requirements into effective AI strategies.

Highest-signal resume keywords

• AI/ML Solution Development
• Cloud Engineering with AWS
• Python Programming
• Generative AI and LLM Applications
• Technical Leadership and Mentoring

Hard Skills

• Machine Learning Development
• API Design and Development
• Microservices Architecture
• TensorFlow
• PyTorch
• Scikit-learn
• NLP
• RAG Architectures
• Deep Learning
• Predictive Analytics

Soft Skills

• Cross-Functional Collaboration
• Technical Communication
• Mentoring

Certifications & Qualifications

• Master's Degree in Computer Science
• Bachelor's Degree in Computer Science

Industry Keywords

• Wealth Management
• Financial Services
• Banking
• FinTech
• Insurance
• Healthcare
• Responsible AI Principles
• Model Governance
• Risk Management

Tools & Technologies

• AWS Bedrock
• CI/CD Practices
• Cloud-Native Applications
• AI/ML Frameworks