26 days ago
Dublin, Ireland or London, United KingdomStaff+
Responsibilities
- Lead cross-functional, customer-facing engagements to develop and deploy agentic agreement-management processes.
- Design, build, and deploy AI-enabled workflows integrating Docusign capabilities, MCP servers, APIs, web forms, custom extractions, and third-party AI platforms.
- Prove, capture, and productionize new agentic deployment patterns, repeatable use cases, and implementation toolkits.
- Conduct technical demos, trainings, and workshops for technical and non-technical audiences.
- Translate customer business requirements into production-level AI-enabled solutions with customers, Docusign teams, partners, and system integrators.
- Develop data pipelines, containerized microservices, distributed architectures, and context-management repositories for reliable autonomous AI tools.
- Create deployment strategies, configuration scripts, implementation guides, and partner enablement materials.
- Evaluate human- and AI-generated code for correctness, quality, security, performance, and compliance in isolated cloud environments.
Requirements
- Bachelor’s or advanced degree in computer science, mathematics, computer engineering, statistics, operations research, or a related field, or equivalent practical experience.
- 12+ years of experience in software engineering, deployment-focused engineering, or customer-facing technical delivery roles.
- 18–24 months of experience implementing LLMs, production-grade GenAI applications, autonomous agents, or orchestration frameworks in production.
- Experience designing agent-based or LLM-powered applications with multi-step workflows, orchestration, and failure handling.
- Experience working directly with customers during proofs of concept, architecture reviews, and technical evaluations.
- Experience with Python, Java, C++, or systems fundamentals.
- Strong customer engagement and communication skills, including communicating technical concepts to non-technical audiences.
- Preferred experience as a forward-deployed engineer, customer-facing technical lead, startup CTO, enterprise architect, or consulting software engineer.
- Preferred experience deploying autonomous agents or AI orchestration frameworks in regulated environments such as finance or healthcare.
- Deep understanding of data security, compliance frameworks, and isolated enterprise cloud deployments.
- Willingness and ability to travel 25–50% of the time to customer sites.
Benefits
- Hybrid work arrangement requiring at least two days per week in the office, with weekly in-office expectations.
- Travel to customer sites is expected 25–50% of the time.
- Opportunity to work directly with strategic enterprise customers and influence Docusign’s AI product roadmap.
About DocuSign
DocuSign builds e-signature, contract lifecycle management, and agreement workflow software used by businesses to prepare, sign, and manage contracts. It sells cloud-based subscriptions and APIs that integrate with systems like Salesforce, Microsoft, and Google to automate document workflows and compliance. Founded in 2003 and headquartered in San Francisco, DocuSign is a public company on NASDAQ with over 1.5 million customers in more than 180 countries.