Software Architect, Sales & Success
Job Requisition ID #
AI-first and agent-driven architectures
Agentic AI frameworks (e.g., Salesforce Agentforce)
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. This is a high-impact opportunity to shape Autodesk's revenue engine by designing scalable, secure, and intelligent systems that accelerate growth and operational efficiency.
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
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 governance
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
OpenAI, Anthropic, or similar
- Experience building or integrating
agentic or autonomous systems
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
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