AVP DevX - AI Engineer/Technical Lead

Job summary

Where Ambition Meets Innovation Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you’ll find the ingredients you need at LPL*** to shape your success while helping clients pursue their financial goals.

Benefits

Qualifications

• If so, LPL*** offers an opportunity to work at the intersection of platform engineering, developer experience, and applied AI at enterprise scale.
• 10+ years of hands-on, end-to-end application development experience across .
• NET, Angular, React, TypeScript, and Python in cloud-hosted (AWS), microservice-based environments.
• 2–5+ years of hands-on experience delivering AI/ML and GenAI solutions in enterprise production environments.
• 2+ years experience with the Claude Suite, including claude.ai, Claude API, Claude Code, system prompt design, and context window management.
• 2+ years Architect-level experience with RAG and GraphRAG pipelines, including chunking strategies, embedding models, and vector stores such as Pinecone, pgvector, or Azure AI Search.
• 2+ years experience designing and implementing AI agents, including multi-agent orchestration, tool use, memory strategies, and agent communication protocols.
• Core Competencies
• Designing complete cloud solutions with consideration for scalability, security, data protection, disaster recovery, FinOps (including AI workload cost), and compliance.
• API design expertise, including OpenAPI, GraphQL, versioning strategies, rate limiting, and gateway integration.
• Experience with GitOps, blue-green and dark release deployment strategies, and Infrastructure as Code.
• Track record of contributing to and scaling Internal Developer Platforms, including paved paths, golden paths, and self-service portals.

Responsibilities

• As AVP, Software Engineer, you will serve as a senior individual contributor and technical leader within the Developer Experience Platform and PDLC AI Enablement domain.
• 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

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