Enterprise AI Delivery Architect

Docusign; Sydney; Hybrid; AUD 190,000 - 230,000; Full time

Job summary

Docusign is seeking a Lead AI Solutions Delivery Engineer to work with strategic enterprise customers on solving complex business problems using Agentic capabilities and AI integrations. You will design architectures, write code, and craft prompts to deliver measurable business outcomes, collaborating with product and engineering to shape the AI roadmap.

You will deploy AI-enabled workflows across Docusign and third-party ecosystems, drive deployments with customers, and help scale repeatable

Qualifications

• 12+ years of experience in software engineering, deployment-focused engineering, or customer-facing technical delivery roles.
• 18-24 months experience implementing LLMs, production-grade GenAI applications, autonomous agents, and/or orchestration frameworks.
• Strong Python, Java, C++ or systems fundamentals.

Responsibilities

• Design and lead cross-functional customer-facing engagements to develop and deploy a modern Agentic vision of Agreement Management business processes
• Design, build, and deploy AI enabled workflows and solutions that integrate Docusign AI capabilities including MCP Server and APIs, APIs to third party systems and agentic platforms
• Execute deployment 'firsts' to prove out, capture, and productionize new Agentic implementation patterns, repeatable use cases and toolkits
• Run technical demos, trainings, and workshops for technical and non-technical audiences
• Partner directly with customer stakeholders, product, engineering, success, services and partner teams to translate requirements into production-level AI solutions
• Memorialize repeatable deployment strategies and contribute insights back to product and engineering
• Develop robust data pipelines, containerized microservices, distributed architectures and context management to ensure autonomous AI tools operate reliably
• Maintain knowledge of latest LLM developments and deployment patterns
• Synthesize learnings and develop cross-functional toolkits for enterprise deployments
• Collaborate with Partner Enablement to equip the partner ecosystem with best practices
• Evaluate human and AI-generated code for correctness, quality, security, and compliance in isolated cloud environments

Skills

Python

Java

C++

systems fundamentals

Education

Bachelor's or advanced degree in Computer Science, Mathematics, Computer Engineering, Statistics, Operations Research

Tools

APIs

LLMs

Agentic platforms

Job description

Docusign is seeking a Lead AI Solutions Delivery Engineer to work with strategic enterprise customers on solving complex business problems using Agentic capabilities and AI integrations. You will design architectures, write code, and craft prompts to deliver measurable business outcomes, collaborating with product and engineering to shape the AI roadmap.

You will deploy AI-enabled workflows across Docusign and third-party ecosystems, drive deployments with customers, and help scale repeatable