LPL Financial

AI Engineer

• Design, build, and evolve cloud-native platform services and AI/GenAI capabilities that improve developer productivity and software delivery outcomes.
• Architect and deliver enterprise-grade AI solutions, including RAG and GraphRAG pipelines, multi-agent systems, LLM-powered developer tools, plugins, MCP tools, and reusable skills.
• Drive Claude Suite adoption end-to-end, including claude.ai, Claude API, Claude Code, system prompt design, and context window management.
• Lead large-scale Cursor AI integration, including workspace rules, .cursorrules governance, MCP server connections, and AI-assisted development workflows.
• Build and operate LLM evaluation pipelines using RAGAS, LangSmith, and custom evaluation harnesses.

AVP DevX – AI Engineer, Technical Lead

Architect

• Build, lead, and develop a diverse team of solution architects, fostering an inclusive culture that rewards both delivery and collaborative behaviors.
• Drive a “shift-left” architectural mindset by proactively shaping platform and domain architectures that align to product roadmaps and enterprise strategy.
• Partner with senior business, product, and technology leaders to translate business priorities into modern, scalable architecture strategies and solutions.
• Establish and evolve platform engineering capabilities, including developer platforms, CI/CD, observability, API management, and self-service tooling.
• Define and govern domain-driven architecture principles, including bounded contexts, domain ownership, and integration patterns.
• Lead architectural strategy for cloud adoption, hybrid integration, event-driven systems, and DevSecOps practices.
• Guide the development and adoption of AI/ML architecture patterns, including model lifecycle management, MLOps, responsible AI frameworks, and governance.
• Define and maintain architectural principles, standards, reference architectures, and reusable assets that accelerate delivery while ensuring consistency and quality.

Architect Manager

Marketing

• Provide responsive marketing support tailored to advisor/program needs
• Empower advisors/programs with on-demand resources like webinars and modular content
• Create a low-touch, prioritized support path for high-potential programs
• Work with assigned Regional Investment Directors to prioritize support activities
• Create and maintain self-service resources (guides, recorded webinars, FAQs)

Marketing Consultant

Customer Success Manager

• Serve as the cultural ambassador for service excellence within the pod
• Provide leadership and guidance to pod members through routines and coaching
• Maintain and evolve pod-level routines, ensuring consistency and efficiency
• Identify opportunities to enhance client experience through innovative solutions
• Act as the primary point of contact for complex cases and escalations
• Utilize and maintain a client-level performance dashboard
• Coordinate and host regular meetings with individual offices
• Partner with other Client Experience Managers for consistency
• Solicit feedback from clients and internal partners

AVP, Client Experience Manager

Backend Engineer

• Design, develop, and maintain Python-based REST APIs that support business-critical workflows.
• Build APIs using AWS Lambda and Amazon API Gateway, following API-first and REST best practices.
• Implement clean, testable, and well-documented Python code suitable for enterprise production environments.
• Optimize API performance, reliability, scalability, and error handling.
• Ensure proper API versioning, contract stability, and backward compatibility.
• Implement secure authentication and authorization mechanisms such as OAuth2, JWT, and IAM-based access.
• Enforce API security controls including request validation, throttling, rate limiting, and auditing.
• Partner with security teams to ensure APIs meet enterprise security and compliance standards.
• Provision and manage AWS infrastructure using Terraform.
• Create and maintain reusable Terraform modules for: API Gateway, Lambda, IAM roles and policies, CloudWatch logging and monitoring.

Senior API Engineer, Python, AWS

Consultant

• Write and edit high-quality and engaging operational content, ensuring consistency with writing standards and LPL Financial’s brand in style and tone.
• Publish and manage content across multiple platforms for various audience personas; conduct ongoing audits of content to ensure information is accurate and relevant.
• Manage complex content projects with multiple work streams; coordinate content and communication strategy discussions with key project stakeholders.
• Closely partner with departments across the firm to build strong relationships and ensure alignment on content goals and opportunities.
• Independently manage daily assignments and participate in the peer review quality control process.
• Leverage analytics to evaluate effectiveness of content and uncover opportunities for content improvement.
• Actively participate, and at times lead, team, project and/or business process meetings.
• Serve as a content management Subject Matter Expert (SME) and assist in training teammates.
• Partner with Technology and assist in User Acceptance Testing (UAT), test script creation, and troubleshooting defects within content management systems.

Senior Communication Consultant, Knowledge Management

Business Development Rep

• Develop and lead enterprise prospect sale opportunities with wealth management divisions of product manufacturers including insurers, asset managers and retirement / record-keeping organizations
• Employ a strategic, consultative sales approach including understanding prospects business objectives and challenges, developing relationships with multiple buying influences, identifying areas of alignment to propose and win commitments
• Manage prospect pipeline through all stages of the sales cycle from sourcing and feeding through closing and transition including routine status updates
• Proactively network and develop relationships with executive leadership, consultants and centers of influence through engagement across industry associations, events and thought leadership delivery
• Represent LPL at industry and firm events as a thought leader and to develop prospect and center of influence relationships
• Partner with sales strategy teams to refine addressable universe, maintain updated knowledge of competitive landscape and enhance go-to-market approach, messaging and sales collateral unique to product manufacturer segment
• Build relationships and strong partnerships across the LPL organization to articulate LPL’s holistic range of wealth management capabilities to enterprise prospects as opportunities develop

VP, Business Development Officer – Product Manufacturing

Affiliate Manager

• Lead transitions for all business lines and channels
• Consult with prospective advisors to understand the unique structure of the business transitioning to LPL
• Devise a strategy to effectively transition the book of business
• Engage various departments throughout the firm as subject matter experts where needed
• Leverage appropriate tools to facilitate in-depth training on all LPL technology
• Provide repapering support to aid new advisors in moving their book of business to LPL
• Navigate issues by leveraging critical thinking and problem-solving skills

Transition Support Partner

Digital Marketing

• Report to the marketing manager.
• Work closely with multiple senior marketing consultants.
• Execute a digital marketing strategy for several LPL advisors.
• Schedule content to be distributed by social media, email, and blog.
• Make updates to an advisor’s website.
• Source promotional items and coordinate with vendors.
• Manage stationary reorders and ensure brand consistency in printed materials.
• Support the creation of demand generation forms, invitations, RSVP forms, and advisor outreach initiatives.
• Collaborate with compliance to ensure content, brand, and messaging are approved.
• Implement lead generation and niche prospecting process and workflow for implementation in the advisor’s practice to drive business growth for advisors and LPL Financial.
• Collaborate with the advisor’s office staff to ensure cohesive messaging and communications.
• Exhibit strategic agility when adopting and implementing LPL’s current tools and technology.
• Provide feedback and enhancements from the advisors.
• Actively participate in LPL’s culture and drive our mission and values.

Digital Marketing Associate

Communications

• Review and approve marketing materials and public communications
• Review Outside Business Activity and Private Securities Transaction requests
• Serve as a Subject Matter Expert (SME)
• Evaluate marketing materials and provide guidance on changes for approval
• Review outside business activities for compliance
• Consult with advisors on marketing initiatives and transactions
• Assist with regulatory inquiries

Senior Advisor, Communications – OBA Supervisory Principal

Product Manager

• Define product strategy and roadmap for advisor‑facing AI across prospecting, financial planning, investment management, client servicing, and practice operations.
• Own build, buy, or rent decisions for AI capabilities.
• Lead third‑party AI evaluation and sanctioned access.
• Define secure integration models for advisor‑built AI.
• Design and execute pilots.
• Own priority advisor journeys.
• Partner closely with Technology.
• Ensure governance and compliance readiness.
• Drive adoption and value realization.

VP II, Advisor AI Solutions – Product Management

Solutions Engineer

• Embed AI-first and ML engineering principles into SDLC, ensuring intelligent automation and predictive capabilities are considered from design through deployment.
• Design and develop agentic AI solutions for: Data governance tracking and compliance monitoring.
• Exception detection and resolution across multiple data domains.
• Reconciliation frameworks using rule-based and AI-driven logic.
• Lifecycle management workflows for investor and operational domains.
• Build intelligent agents that apply rules or adaptive intelligence to automate exception handling and reconciliation.
• Develop APIs and microservices using Python (FastAPI) and .NET Core for agentic workflows.
• Integrate AI workflows with LDX UI components built in Angular for user review and configuration.
• Implement event-driven architectures using AWS EventBridge, Lambda, and Step Functions for real-time orchestration.
• Deploy and manage LLMs (Claude, GPT, Amazon Titan) via AWS Bedrock and integrate RAG pipelines using LangChain or Haystack.
• Build knowledge bases and embedding models for contextual reasoning using vector databases (Pinecone, OpenSearch).
• Apply memory management techniques for multi-agent orchestration (short-term and long-term memory persistence).
• Ensure observability and reliability using AWS CloudWatch, X-Ray, and Dynatrace.
• Implement security best practices (IAM, KMS, encryption) and compliance frameworks (SOC2, GDPR).
• Build automation frameworks using UiPath or RPA tools to complement AI-driven workflows.
• Optimize for performance, scalability, and cost efficiency in AWS deployments.
• Stay current with emerging AI orchestration frameworks, LLM technologies, and cloud-native patterns.

AVP, AI Solutions Engineer

Security Engineer

• Establish and maintain AI security platform readiness across enterprise AI technologies
• Validate functionality, configuration, and deployment readiness of AI security platforms and controls
• Drive continuous optimization of AI security tooling, integrations, and engineering practices
• Define AI security engineering requirements to support SOC monitoring, detection, and response capabilities
• Develop and operationalize AI-specific detection use cases, alerting logic, and prevention workflows
• Enable integration of AI telemetry into SOC workflows and enterprise security operations
• Build and mature AI incident response processes and escalation procedures
• Partner with SOC teams to enhance detection engineering and overall operational effectiveness
• Integrate AI security technologies with enterprise platforms including SIEM, SOAR, EDR, CSPM, CNAPP, and logging systems
• Ensure interoperability between AI security controls and broader enterprise security tooling
• Operationalize telemetry pipelines and observability standards for AI systems
• Improve visibility into AI applications, model usage, prompt activity, and agent behavior
• Partner with cloud and endpoint security teams to optimize cross-platform integrations
• Establish governance frameworks and enforce security controls for AI systems operating in regulated environments
• Ensure alignment with compliance, regulatory, and enterprise security requirements
• Support audit readiness and validation of AI security controls
• Define policies for AI usage, access, monitoring, and automation
• Support risk assessments for AI platforms, integrations, and workflows
• Identify opportunities to automate security engineering and SOC processes
• Design and implement AI-assisted workflows using tools such as Claude, Cursor, and enterprise automation platforms
• Develop scalable automation playbooks and orchestration processes to improve efficiency and consistency
• Drive training and enablement across engineering teams for AI-assisted development and automation practices
• Develop and promote best practices for secure AI engineering workflows
• Create enablement materials, workshops, and repeatable standards for AI security adoption
• Communicate AI security capabilities, risks, and priorities to technical and executive stakeholders
• Support security leadership with AI security strategy and planning
• Drive cross-functional alignment across Security, Engineering, Risk, and Architecture teams

AI Security Engineer

Full-stack Engineer

• Work on a team responsible for building the LDX Data Experience platform.
• Develop scalable enterprise applications on AWS Cloud using containerized and serverless architectures.
• Build full-stack solutions for LDX: UI Development: Develop responsive, modular interfaces using Angular.
• API Development: Implement robust APIs using Python and .NET Core.
• Integrate AI-first and ML engineering principles into SDLC, embedding intelligent automation and predictive capabilities from design through deployment.
• Explore and implement AI-enabled techniques for intelligent data mapping, reconciliation frameworks, and automation.
• Champion API-first development for modular, reusable services aligned with LDX’s modernization goals.
• Implement performance optimization techniques for scalability, cost efficiency, and high availability.
• Collaborate with domain teams to deliver cohesive UI suites and integrate governance, lineage, and reconciliation workflows.
• Ensure observability and reliability by integrating monitoring tools like AWS CloudWatch and Dynatrace.
• Collaborate with other development teams, architecture, and support teams to design and maintain platform integrations.
• Provide technical troubleshooting and advanced debugging support.
• Stay current with emerging technologies and continuously improve development practices.

Senior Developer – Software Engineering

Engineering Manager

• Overseeing a team of software engineers
• Designing and developing high quality products with state of the art user interfaces
• Lead cross-functional collaboration sessions with business partners and architects
• Communicate technical concepts clearly to both technical and business audiences
• Mentor and develop team members through effective communication, coaching, and technical guidance
• Evaluate new design proposals and investigate process improvements