Lead Partner Solution Architect

DocuSign DocuSign · Enterprise · Bangalore, India · Sales & Partnerships

This role focuses on designing and implementing agentic AI solutions, integrating Docusign IAM with partner platforms and LLMs. The Lead Partner Solution Architect will create reference architectures, enable GSI partners, and develop solutions demonstrating agentic AI capabilities in agreement workflows.

What you'd actually do

  1. Architect and lead hands-on implementation of agentic AI solutions, leveraging agent orchestration frameworks, cloud infrastructure, and AI-assisted development tools to drive partner success
  2. Design reference architectures that guide partners in integrating Docusign IAM with platforms such as Microsoft Copilot, Salesforce Agentforce, SAP Joule, and Frontier LLMs like Claude, ChatGPT etc
  3. Develop art of the possible solutions that demonstrate agentic AI capabilities across agreement workflows
  4. Create reference accelerators and framework blueprints that enable partners to achieve faster time-to-value for IAM implementations
  5. Lead hands-on technical workshops with SI partners to build deep IAM and agentic AI competency

Skills

Required

  • 8+ years of experience in a partner-facing or pre-sales solution architecture role
  • selling and implementing SaaS solutions
  • Hands-on experience designing and developing agentic AI solutions
  • agent orchestration frameworks
  • LLM integrations
  • multi-agent or tool-calling architectures
  • 3+ years of experience in enterprise agreement, procurement, legal technology, or adjacent business process automation solutions
  • define end-to-end solution architectures
  • enable partner technical teams
  • design guidance
  • solution reviews
  • quality governance
  • enterprise integration patterns
  • REST APIs
  • authentication/authorization protocols (OAuth)
  • workflow automation
  • Python
  • TypeScript
  • CLI-based tooling
  • modern AI-assisted development tools
  • CI/CD pipelines
  • cloud deployment automation

Nice to have

  • enterprise AI platforms such as Salesforce Agentforce, SAP Joule, Microsoft Copilot Studio, Microsoft Foundry, ServiceNow Now Assist, or similar
  • Strong AI/ML foundation
  • LLMs
  • retrieval-augmented generation (RAG)
  • prompt engineering
  • context design
  • embeddings/vector search
  • agent memory patterns
  • designing multi-agent systems
  • agent workflows
  • tool selection strategies for enterprise AI applications
  • AI evaluation
  • observability
  • guardrails
  • responsible AI practices
  • production monitoring
  • prompt security
  • Full-stack development experience with cloud platforms such as Azure
  • familiarity with modern AI development workflows
  • Proven consulting experience leading enterprise

What the JD emphasized

  • agentic AI solutions
  • agent orchestration frameworks
  • LLM integrations
  • multi-agent or tool-calling architectures
  • agentic AI capabilities
  • agentic era
  • agentic AI competency
  • agentic AI
  • agent workflows
  • agent memory patterns
  • agentic AI applications

Other signals

  • designing and developing agentic AI solutions
  • agent orchestration frameworks
  • LLM integrations
  • multi-agent or tool-calling architectures