Senior AI Solutions Delivery Architect

Docusign; Dublin; Hybrid; EUR 120,000 - 160,000; Full time

Job summary

Docusign Dublin is seeking an AI Solution Deployment Engineer to embed with strategic enterprise customers, architecting AI‑powered workflows and integration patterns that scale to millions of agreements. You will bridge business and technology, design bespoke architectures, write code, and develop prompts to deliver measurable business outcomes, collaborating with product and engineering teams.

Hybrid: weekly in‑office presence required, with remote work options.

Qualifications

• Bachelor's or advanced degree in Computer Science, Mathematics, Computer Engineering, Statistics, Operations Research, etc.or equivalent practical experience
• 12+ years of experience in software engineering, deployment‑focused engineering, or customer‑facing technical delivery roles, in an established technology company, including AI focused startups or scale‑ups
• 18‑24 months of experience implementing LLMs, production‑grade GenAI applications, autonomous agents, and or orchestration frameworks for production level software, with a preference for experience designing agent‑based or LLM‑powered applications beyond simple API calls, including multi‑step workflows, orchestration, and failure handling
• 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 (e.g. Docusign’s integration with Open AI, Claude Cowork, Microsoft CoPilot, Harvey and Legora) and other similar customer Agentic Tech stacks to automate and optimize customer business processes
• 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

Customer facing

Education

Bachelor's degree in CS/Math/Engineering

Job description

Docusign Dublin is seeking an AI Solution Deployment Engineer to embed with strategic enterprise customers, architecting AI‑powered workflows and integration patterns that scale to millions of agreements. You will bridge business and technology, design bespoke architectures, write code, and develop prompts to deliver measurable business outcomes, collaborating with product and engineering teams.

Hybrid: weekly in‑office presence required, with remote work options.