Responsibilities (Enhanced with AI / Agentic Focus) Lead end-to-end solution architecture and define the strategic roadmap for Sales and Customer Success platforms, with a strong focus on AI-driven automation and intelligent systems Architect agent-based and autonomous workflows using platforms like Salesforce Agentforce, enabling proactive customer engagement, pipeline acceleration, and operational efficiency Design and implement AI-powered GTM solutions, leveraging LLM ecosystems (OpenAI, Anthropic) for use cases such as: Intelligent lead scoring and routing Sales copilots and customer success assistants Automated insights generation and forecasting Conversational interfaces and workflow automation Define scalable, event-driven and composable architectures, integrating CRM, CDP, ERP, and Customer Success platforms with modern data platforms Stay at the forefront of innovation across: Generative AI, Agentic AI, and ML Salesforce ecosystem (Sales Cloud, Data Cloud, Einstein, Agentforce) Modern AI developer tooling (e.g., Cursor, prompt engineering frameworks) Drive adoption of AI-enabled architectures, ensuring responsible AI practices, governance, compliance, and data security Collaborate cross-functionally with GTM, Product, Engineering, and Data teams to design AI-infused customer journeys and business processes Define build vs buy strategies, including evaluation of AI platforms, open-source frameworks, and SaaS tools Architect and guide implementation of modern cloud-native, API-first, and data-centric platforms, enabling real-time intelligence and personalization Develop conceptual and logical data models in partnership with Data Architects, ensuring readiness for AI/ML workloads Translate complex technical and AI-driven concepts into clear strategies for both technical and non-technical stakeholders Ensure non-functional requirements including scalability, reliability, security, compliance, and AI governanceare met Minimum Qualifications (Enhanced) Bachelor's or Master's degree in Computer Science, Information Systems, or related technical field 12+ years of experience delivering enterprise software solutions, with strong focus on Sales, Customer Success, and CRM domains Proven experience designing and delivering AI/ML or Generative AI solutions, including hands-on exposure to LLM platforms such as OpenAI, Anthropic, or similar Experience building or integrating agentic or autonomous systems, including exposure to Agentforce or similar agent frameworks Salesforce certifications and deep expertise across Sales Cloud, Data Cloud, and Customer Success ecosystems Strong experience with data integrations and distributed systems (APIs, event-driven architectures, data pipelines, security layers) Domain knowledge across marketing, CRM, ERP, customer success platforms, and analytics ecosystems 8+ years of experience working with customer success and sales systems, including business process mapping and customer journey design Experience architecting solutions for large-scale enterprises with a focus on scalability and resilience Familiarity with AI-assisted development tools (e.g., Cursor) and modern engineering practices * Strong understanding of compliance and data governance (GDPR, SOX, etc.), including implications for AI systems Learn More About Autodesk Welcome to Autodesk! This includes leveraging Agentic AI frameworks (e.g., Salesforce Agentforce) and integrating cutting-edge AI technologies such as OpenAI, Anthropic, and developer tooling like Cursor to automate workflows, enhance decision-making, and enable intelligent, autonomous business processes.