Enterprise AI Deployment Architect

Docusign; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Accommodation

Job summary

Docusign is seeking a seasoned AI Solution Deployment Engineer to work directly with strategic enterprise customers, designing and deploying AI-enabled workflows that enhance agreement lifecycles using Docusign's Agentic capabilities and open AI ecosystems.

You will lead cross-functional engagements, craft production-ready AI solutions, and partner with product and engineering teams to shape our AI roadmap.

Qualifications

• Bachelor's or advanced degree in Computer Science, Mathematics, Computer Engineering, Statistics, Operations Research, etc.
• 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
• Experience working directly with customers during POCs, architecture reviews, and technical evaluation
• Experience with 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 but not limited to, Docusign’s MCP Server and APIs, Docusign Web Forms backed by APIs to third party systems, Custom Extractions, Docusign skills in 3rd party 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, Docusign product, engineering, success, services and partner team members and third party system integrators to translate open-ended operational business requirements into production level AI enabled business solutions
• Memorialize repeatable deployment strategies and contribute insights and learnings back to Docusign product and engineering teams
• Develop robust data pipelines, containerized microservices, distributed system architectures, and system context management repositories to ensure autonomous AI tools operate accurately and reliably
• Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks
• Synthesize field learnings, establish repeatable configuration scripts and deployment patterns, and develop cross functional data based recommendations to establish and deliver product consulting toolkits to establish enterprise-deployable implementation guides
• Partner with our Partner Enablement and larger partner organization to equip the partner ecosystem to implement well-architected solutions by contributing repeatable deployment best practices and blueprints
• Evaluate human and AI-generated code critically for correctness, quality, security, performance, and compliance within isolated cloud environments

Skills

Python

Java

C++

LLMs

GenAI

Customer-facing

POC experience

Education

Bachelor's degree in CS/Math/Engineering

Tools

OpenAI

Microsoft CoPilot

Claude

APIs

MCP Server

Job description

Docusign is seeking a seasoned AI Solution Deployment Engineer to work directly with strategic enterprise customers, designing and deploying AI-enabled workflows that enhance agreement lifecycles using Docusign's Agentic capabilities and open AI ecosystems.

You will lead cross-functional engagements, craft production-ready AI solutions, and partner with product and engineering teams to shape our AI roadmap.