Sr. AI Engineer

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, connecting it to business systems of record to save time, money, and opportunity.

About the role

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 individual contributor role reporting to the Director, Engineering.

Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required (minimum 2 days per week; may vary by team but will be a weekly in-office expectation).

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

Requirements

• 8+ years of professional back-end software engineering experience
• 3+ years in AI/ML engineering, LLM-based systems, or advanced SaaS automation
• Experience building scalable, production-grade distributed systems using microservice architecture
• Experience in developing using AI tools like Copilot, Cursor, or Claude, and able to set up a framework to improve engineering team productivity
• Experience with Go or a similar language
• Experience working with Python for AI/ML modeling, experimentation, and prototyping

Preferred Qualifications

• Proven experience designing and building AI-driven solutions for CPQ (Configure, Price, Quote) platforms
• Strong understanding of subscription-based B2B business models (e.g., recurring revenue, usage-based pricing)
• Experience with framework/architecture set-ups to build agentic solutions for a subscription-based industry in the CPQ domain
• Experience building AI services that integrate with enterprise systems of record (CRM, CPQ, Billing)
• Deep understanding of LLM concepts and interworking
• Deep understanding of LangChain/LangGraph
• Experience implementing agentic workflows to improve seller productivity for a subscription-based industry
• Experience with AWS cloud platform
• Experience with containerization and orchestration (Docker, Kubernetes)
• Familiarity with modern CI/CD pipelines, observability, and system reliability practices

Pay

Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience. Based on applicable legislation, the pay range in California is $164,700.00 - $266,000.00 base salary.

This role is also eligible for the following bonus:

• Sales personnel: variable incentive pay dependent on achievement of pre-established sales goals
• Non-Sales roles: company bonus plan calculated as a percentage of eligible wages and dependent on company performance

Stock: This role is eligible to receive Restricted Stock Units (RSUs).

Benefits

• Paid Time Off: earned time off, as well as paid company holidays based on region
• Paid Parental Leave: 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