Company Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM). What you'll do Agreements sit at the center of every business relationship, and as enterprises move toward agentic architectures, the agreement lifecycle must evolve alongside them. We are looking for a hands-on innovator who will drive this transformation with our System Integrator (GSI) partners across global markets. As an AI Partner Solution Architect, you will be at the intersection of the Docusign IAM platform and the emerging agentic ecosystem. You will design reference architectures, advise on implementation patterns, and enable GSI partners to deliver agreement-native agentic solutions to joint customers. Working directly with partner practice teams, you will activate them on Docusign IAM, guide them through workflow orchestration frameworks, and shape how partners think about agreements in the agentic era. This position is an individual contributor role reporting to Principal Partner Solution Architect. Responsibility 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 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 Develop art of the possible solutions that demonstrate agentic AI capabilities across agreement workflows Create reference accelerators and framework blueprints that enable partners to achieve faster time-to-value for IAM implementations Lead hands-on technical workshops with SI partners to build deep IAM and agentic AI competency Serve as a subject matter expert on Docusign AI capabilities for partner consultants, enabling them to articulate and deliver customer business outcomes Conduct architecture reviews and provide guidance on partner-built solutions to ensure quality and alignment with IAM best practices Build and deliver compelling demos showcasing the IAM platform's value across sales plays and industry verticals including but not limited to Financial Services, Healthcare & Life Sciences, and Technology Assist partners in crafting RFP responses and solution proposals that maximize customer value from IAM investments Publish technical thought leadership content including solution briefs, reference architectures, blogs, demo videos etc Organize and guide build-a-thons with partners, providing technical direction and architectural oversight to rapidly validate new solution patterns Stay ahead of the evolving AI landscape and translate emerging capabilities into practical agreement workflow solutions with Docusign IAM Contribute to Docusign's internal AI adoption and help scale best practices across the Partner Solution Architects team Job Designation Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation) Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law. What you bring Basic 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, including agent orchestration frameworks, LLM integrations, multi-agent or tool-calling architectures (e.g., MCP, A2A, or equivalent) 3+ years of experience in enterprise agreement, procurement, legal technology, or adjacent business process automation solutions Demonstrated ability to define end-to-end solution architectures and enable partner technical teams through design guidance, solution reviews, and quality governance Strong understanding of enterprise integration patterns, REST APIs, authentication/authorization protocols (OAuth), and workflow automation Experience with programming languages such as Python and TypeScript (or equivalent), along with CLI-based tooling and modern AI-assisted development tools (e.g., Claude Code, GitHub Copilot, Cursor) for building, integrating, and automating AI and enterprise solutions Experience with CI/CD pipelines and cloud deployment automation using tools such as Azure DevOps Pipelines (or equivalent across AWS/GCP environments) Preferred Experience with enterprise AI platforms such as Salesforce Agentforce, SAP Joule, Microsoft Copilot Studio, Microsoft Foundry, ServiceNow Now Assist, or similar Strong AI/ML foundation, including LLMs, retrieval-augmented generation (RAG), prompt engineering, context design, embeddings/vector search, and agent memory patterns Experience designing multi-agent systems, agent workflows, and tool selection strategies for enterprise AI applications Experience with AI evaluation, observability, guardrails, and responsible AI practices, including production monitoring and prompt security Full-stack development experience with cloud platforms such as Azure, and familiarity with modern AI development workflows Proven consulting experience leading enterprise-scale digital transformation and AI adoption initiatives Proficiency in designing and delivering industry-specific AI solution demonstrations across Financial Services, Healthcare & Life Sciences, Manufacturing, Retail, Public Sector, or other enterprise verticals Experience creating technical documentation including AI reference architectures, design documents, data flow diagrams, handbooks etc Strong communication skills with ability to engage both technical and business stakeholders Willingness to travel 25% or more as needed Life at Docusign Working here Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live. Accommodation Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com. If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance. Applicant and Candidate Privacy Notice #LI-Hybrid #LI-VP3
Lead Partner Solution Architect
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
- 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
- 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
- Develop art of the possible solutions that demonstrate agentic AI capabilities across agreement workflows
- Create reference accelerators and framework blueprints that enable partners to achieve faster time-to-value for IAM implementations
- 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