AVP DevX - AI Engineer​/Technical Lead

Job Overview

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. This role focuses on two closely connected areas:
Internal Developer Platform (IDP) — delivering self‑service automation, golden paths, and reference architectures. AI and GenAI enablement — providing production‑ready RAG pipelines, agents, plugins, and AI‑assisted development tools as first‑class platform capabilities. This role is intentionally hands‑on. You will write production code, review pull requests, pair with engineers on AI prototypes, and shape platform and AI architecture. While you will influence teams, roadmaps, and executive stakeholders, this role does not include direct people management.

• 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, .cursor rules governance, MCP server connections, and AI‑assisted development workflows.
• Build and operate LLM evaluation pipelines using RAGAS, Lang Smith, and custom evaluation harnesses; implement AI observability such as tracing, hallucination detection, latency and token cost dashboards, drift monitoring, and guardrails.
• Contribute to the build‑out of the Internal Developer Platform, including Backstage plugin development, golden‑path templates, and self‑service portals for application, infrastructure, and architecture automation.
• Participate in Agile ceremonies including Scrum events and PI Planning; collaborate with Product, Architecture, Security, and Platform partners on delivery planning and technical design.
• Facilitate solution design sessions, technical demos, Lunch & Learn events, office hours, and developer community forums to share knowledge and address engineering pain points.
• Translate developer feedback and partner team needs into scalable platform and AI capabilities.
• Author and maintain technical documentation including design documents, runbooks, disaster recovery strategies, and release documentation in alignment with enterprise standards.
• Develop and maintain web, API, and AI‑enabled services, including secure coding practices, vulnerability remediation, testing, and CI/CD automation.
• Partner closely with Architecture, Security, Cloud, Dev Sec Ops , Quality Engineering, Compliance, and Release teams to define and promote reference architectures and best practices.
• Embed Dev Sec Ops  and Responsible AI principles, including shift‑left security, SAST/DAST integration, SBOM generation, software supply chain controls, and AI governance.
• Track and improve platform adoption metrics, AI usage and quality indicators, and developer experience outcomes.
• Present platform architecture, AI capabilities, and technical recommendations to senior leadership and executive stakeholders.
• Continuously identify opportunities for automation and innovation that simplify workflows and enhance the developer experience across the enterprise.

• 10+ years of hands‑on, end‑to‑end application development experience across .NET, Angular, React, Type Script, 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…