Sr. AI Engineer

Docusign • San Francisco, CA

3d • Hybrid

About The Position

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.

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 Eng team productivity
• Experience with Go or a similar language
• Experience working with Python for AI/ML modeling, experimentation, and prototyping

Nice To Haves

• Proven experience designing and building AI-driven solutions for CPQ (Configure, Price, Quote) platforms
• Strong understanding of subscription-based B2B business models (eg Recurring revenue, Usage-based pricing, etc)
• Experience with framework/architecture set-ups to build an agentic solution for a subscription-based industry in 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

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: Senior
• Education Level: No Education Listed