Sr. AI Engineer

Docusign • San Francisco, CA

1d • Hybrid

About The Position

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).

We are seeking an AI Engineer who can operate at the intersection of AI/ML, distributed systems, and enterprise business platforms. This role will help in the design and implementation of AI-driven capabilities across CRM, CPQ, Billing, and Revenue systems, enabling automation, intelligence, and scale across go-to-market workflows.
This is a hands-on technical role. You will architect, prototype, and productionize AI solutions while partnering closely with Product, Sales Ops, RevOps, Finance, and Engineering teams.
This position is an individual contributor role reporting to the Director, Engineering.

Requirements

• 8+ years of software engineering experience, with significant hands-on AI/ML work
• Experience building LLM-based systems (RAG, agents, embeddings, prompt pipelines)
• Experience with enterprise business systems, including CRM (e.g., Salesforce), CPQ platforms (Apttus/Conga, Salesforce CPQ, Oracle, etc.) and Billing / Subscription platforms (Zuora, Oracle, NetSuite, or similar)
• Eperience designing distributed, API-driven systems.
• Experience in one or more of: Python, Java, Go, or TypeScript
• Experience with cloud platforms (AWS, Azure, or GCP)

Nice To Haves

• Experience applying AI to revenue, sales, or financial workflows
• Familiarity with data platforms, feature stores, or vector databases
• Experience with AI governance, risk management, and compliance
• Experience acting as a Senior Developer across multiple teams

Responsibilities

• Design and implement production-grade AI systems, including: agentic workflows, Retrieval-Augmented Generation (RAG), embedding and vector-search architectures and tool-calling and orchestration patterns
• Build AI services that integrate securely with enterprise systems of record (CRM, CPQ, Billing)
• Lead end-to-end AI solution delivery—from prototype to hardened, scalable production systems
• Define architectural standards for AI reliability, latency, observability, and cost efficiency
• Apply AI to core revenue workflows such as quote configuration and pricing recommendations, discounting and approval automation, contract intelligence and renewal forecasting and billing anomaly detection and revenue leakage prevention
• Understand lead-to-cash processes and translate business requirements into technical designs
• Partner with domain experts to ensure AI outputs are accurate, explainable, and trusted.
• Act as a Staff-level technical owner, influencing architecture across multiple teams
• Review designs, mentor senior engineers, and raise the engineering bar for AI systems
• Establish best practices for data access and governance, model evaluation and guardrails and security, compliance, and privacy (PII, SOC, GDPR)
• Partner closely with Product, Architecture, Security, Legal, and Data teams
• Serve as a technical advisor to leadership on AI strategy for GTM systems
• Communicate complex AI concepts clearly to both technical and non-technical stakeholders

Benefits

• Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
• Stock: This role is eligible to receive Restricted Stock Units (RSUs).
• Paid Time Off: earned time off, as well as paid company holidays based on region
• Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
• Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
• Retirement Plans: select retirement and pension programs with potential for employer contributions
• Learning and Development: options for coaching, online courses and education reimbursements
• Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed