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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Director IT Engineering, GTM AI Applications - **Company:** Palo Alto Networks - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $264,300.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, Data Analysis, Application Integration Architecture, Systems Engineering, Architectural Patterns, Artificial Neural Networks, Spreadsheets, Software as a Service, Encodings, Machine Learning, Open Source Technology, Performance Tuning, Productivity Software, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Magento, Adobe, Kubernetes, Data Analytics, Enterprise Integration, Graphql, Machine Learning Operations, Virtual Agents, Api Design, GPT, Databricks, Zuora, Microservices - **Published:** August 30, 2026 - **Apply:** https://dejobs.org/x/x/7FA9D9C5938241D09493004BB61020A8/job/ ## About the Role Leadership and Communication * Exceptional people-management skills, acting as a Player/Coach to inspire and foster desired behaviors. * Outstanding verbal and written communication skills, coupled with executive presence. * Strong enterprise communication, business acumen, and financial understanding. * Proven track record of thought leadership (e.g., technical articles, conference speaking, open source contributions). Business and Strategic Acumen * Extensive experience with Go-to-Market (GTM) applications, particularly the Opportunity to Quote lifecycle. * Excellent analytical skills and a demonstrated ability to translate detailed data analysis into actionable strategic insights to drive customer adoption and provide business recommendations. * Demonstrated ability to work effectively across internal and external organizations, building consensus and driving results. * Proven ability to reduce organizational friction and implement scalable mechanisms. Technical Leadership 1. Agentic AI & Generative Workflows * Autonomous Sales & Commerce Agents: Proven experience building agentic workflows using frameworks like LangChain, LlamaIndex, AutoGPT, or CrewAI to automate multi-step commercial processes (e.g., automated RFPs, dynamic quote generation, automated lead nurture). * RAG (Retrieval-Augmented Generation): Deep expertise in architecting high-accuracy RAG pipelines using vector databases (Pinecone, Milvus, Weaviate, Qdrant) to ground LLMs in internal product catalogs, pricing rules, and sales collateral. * LLM Engineering & Fine-Tuning: Fine-tuning open-source models (Llama 3, Mistral) vs. orchestrating proprietary foundation models (OpenAI GPT-4, Anthropic Claude, Google Gemini); prompt engineering, guardrailing (NeMo Guardrails), and context window optimization., * Master's Degree or PhD in Engineering or a related STEM field is preferred. * 15+ years of experience in Product Application Engineering. * Expertise in enterprise AI productivity tools and platforms. * Modernization Mindset: Proven experience in leveraging AI and automation to modernize governance. Demonstrated success in transitioning programs from manual, spreadsheet-based processes to automated, self-healing platforms. ## Description The Sr. Director IT Engineering , GTM AI Applications, will be the principal technical leader responsible for integrating Artificial Intelligence (AI) and Machine Learning (ML) capabilities across our Go-to-Market (GTM) technology ecosystem, with a core focus on the Opportunity-to-Quote lifecycle. This executive role demands a blend of visionary leadership, deep technical architecture expertise, and hands-on experience in building and deploying enterprise-grade AI products. The successful candidate will not only set the technical direction for transforming GTM applications with an AI mindset but will also be accountable for the execution and successful delivery of scalable, reliable, and high-impact AI solutions that drive significant business growth and efficiency. About the Team The GTM Technology team is a critical enabler of the company's revenue engine, responsible for the platform and applications that support Sales,and CPQ. We are embarking on a major transformation, leveraging cutting-edge AI technologies, particularly Large Language Models (LLMs), to fundamentally redefine how our GTM teams operate, from lead generation and opportunity management to proposal generation and quoting. This role sits at the intersection of business strategy and technical innovation, reporting directly to the SVP of GTM Technology. Your Impact * Technology Strategy & Roadmap: Define the multi-year technology strategy and architecture roadmap for AI integration into the GTM stack, focusing on maximizing business value in areas like intelligent automation, predictive forecasting, and generative AI-assisted selling. * AI Solution Architecture: Architect and establish company standards for advanced AI customer solutions, demonstrating viability through proof-of-concepts. * Lead Go-To-Market Engineering to scale pipeline generation and seller productivity through AI, automation, and data-driven execution. * Team Leadership: Lead and develop a global, multi-disciplinary team comprising AI Solutions, full-stack, and SaaS developers, cultivating a collaborative, inclusive, and innovative culture. * Strategic Impact: Drive significant business impact by leading large-scale, multi-organizational, or global initiatives. * AI Governance and Ops: Drive AI ops culture to drive continuous evolution of all GTM applications. * Performance and Optimization: Monitor, analyze, and optimize the performance, cost-efficiency, and operational health of all deployed AI models and solutions, driving continuous improvement through data-driven insights., * CPQ ML Engines: Hands-on architecture experience with personalized recommendation algorithms (Collaborative Filtering, Neural Collaborative Filtering, Graph Neural Networks), dynamic pricing engines, search relevance engines, and automated visual search. * Sales Intelligence ML: Predictive lead scoring, opportunity win/loss modeling, churn prediction, account propensity-to-buy (P2B) scoring, and automated deal health assessments. 3. CPQ & Revenue Ecosystem Architecture * Commercial Platform Integrations: Direct experience embedding AI microservices into enterprise CRM and Commerce suites, including SalesforceSAP Commerce Cloud / CX, Adobe Commerce / Magento, Commercetools, or Zuora. * Headless & Microservices Architecture: Experience deploying AI capabilities via API-first, composable architecture patterns (REST, GraphQL, gRPC) directly into customer-facing storefronts and seller interfaces. 4. MLOps, LLMOps & Enterprise Infrastructure * Production MLOps: Enterprise experience with ML lifecycle management platforms (MLflow, Kubeflow, Databricks, AWS SageMaker, Vertex AI), model drift detection, automated retraining loops, and A/B testing infrastructure. ## Related Videos - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [3x Performance: A Humbling Journey](https://www.wearedevelopers.com/videos/100165-3x-performance-a-humbling-journey) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) - [NoCode LiveCode: Leveraging AI Tools to Craft Fully Functional Apps!](https://www.wearedevelopers.com/videos/1169-nocode-livecode-leveraging-ai-tools-to-craft-fully-functional-apps) ## Related Articles - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Got AI ideas but no money? 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