AVP DevX - AI Engineer/Technical Lead
LPL Financial3 months ago
Base Salary
$148k - $246k/yr
Responsibilities
- Design, build, and evolve cloud-native internal developer platform services and AI/GenAI capabilities that improve developer productivity and software delivery.
- Deliver RAG and GraphRAG pipelines, multi-agent systems, LLM-powered developer tools, plugins, MCP tools, and reusable AI skills.
- Drive Claude Suite adoption using claude.ai, Claude API, Claude Code, system prompt design, and context window management.
- Lead Cursor AI integration, including workspace rules, .cursorrules governance, MCP server connections, and AI-assisted development workflows.
- Build and operate LLM evaluation pipelines with RAGAS, LangSmith, and custom evaluation harnesses, including AI observability and guardrails.
- Develop Backstage plugins, golden-path templates, and self-service portals for application, infrastructure, and architecture automation.
- Develop and maintain web, API, and AI-enabled services with secure coding, vulnerability remediation, testing, and CI/CD automation.
- Partner with Architecture, Security, Cloud, DevSecOps, Quality Engineering, Compliance, and Release teams on reference architectures and best practices.
- Translate developer and partner feedback into scalable platform and AI capabilities, and track adoption, AI quality, and developer experience metrics.
- Present technical recommendations to senior leadership and facilitate design sessions, technical demos, office hours, and developer forums.
- Maintain technical documentation, runbooks, disaster recovery strategies, and release documentation aligned with enterprise standards.
Requirements
- 10+ years of hands-on, end-to-end application development experience across .NET, Angular, React, TypeScript, and Python in AWS-hosted, microservice-based environments.
- 2–5+ years of hands-on experience delivering AI/ML and GenAI solutions in enterprise production environments.
- 2+ years of experience with the Claude Suite, including claude.ai, Claude API, Claude Code, system prompt design, and context window management.
- 2+ years of architect-level experience with RAG and GraphRAG pipelines, including chunking strategies, embedding models, and vector stores.
- 2+ years of experience designing and implementing AI agents, including multi-agent orchestration, tool use, memory strategies, and agent communication protocols.
- Expertise designing scalable, secure, compliant cloud solutions with data protection, disaster recovery, FinOps, and AI workload cost considerations.
- API design expertise including OpenAPI, GraphQL, versioning, rate limiting, and gateway integration.
- Experience with GitOps, blue-green and dark-release deployment strategies, Infrastructure as Code, and Internal Developer Platforms.
- Experience with DevSecOps and InnerSource practices, automated testing, code quality, security automation, and continuous improvement.
- Strong written and verbal communication skills, with the ability to explain complex platform and AI concepts to technical and non-technical audiences.
- Ability to influence cross-functional teams and senior stakeholders through technical expertise and collaboration rather than formal authority.
- Preferred qualifications include a master’s degree in Computer Science or a related field, AWS certifications, graph database experience, OpenTelemetry instrumentation, advanced prompt engineering, model fine-tuning, Responsible AI, AI governance, and LLM orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or AutoGen.
Benefits
- Pay range is $147,500.00–$245,900.00 in base salary.
- Benefits include 401(k) matching, health benefits, employee stock options, paid time off, and volunteer time off.
- The role includes opportunities to influence enterprise architecture, executive stakeholders, developer experience, and AI platform strategy.
Tech Stack
Categories