Lead AI Architect

Docusign • San Francisco, CA

5d • 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). What you'll do The Global Data Analytics (GDA) Team at Docusign is seeking a Lead, results-oriented AI Architect to drive the design, development, and implementation of Agentic AI / Gen AI solutions. This professional will define the strategic vision for these AI initiatives, leveraging various technologies to ensure they align with business objectives and meet high standards for scalability, security, and performance. This position is an individual contributor role reporting to the Sr. Director Data Engineering & Architecture

Requirements

• 12+ years of experience in software architecture and development related experience
• 3+ years of hands-on experience with AI/ML technologies
• Experience with Python, R, Java, Scala, or C++
• Experience with TensorFlow, PyTorch, Scikit-learn, and Keras
• Experience with development and orchestration of autonomous agents
• Experience with implementing graph neural networks (GNNs) and knowledge graph solutions
• Experience with frameworks such as LangGraph and CrewAI for building and managing complex multi-agent systems
• Experience with Glean for enterprise search and knowledge management solutions

Nice To Haves

• Proven track record of leading large-scale AI implementations
• Demonstrated success in leading and delivering large-scale AI implementations
• Proficient in major platforms: AWS, Azure, and Google Cloud Platform
• Practical skills with MLflow, Kubeflow, Docker, and Kubernetes for scalable MLOps workflows
• Experience with Hadoop, Spark, Kafka, and Elasticsearch
• Solid understanding of SQL, NoSQL, Snowflake, and modern Vector databases
• Advanced proficiency in cloud data warehousing, data sharing, and analytics
• Skill in developing APIs (REST, GraphQL) and designing microservices architecture
• Experience in data transformation, modeling and testing
• Knowledge of workflow orchestration and data pipeline automation
• Proven proficiency in orchestrating collaborative AI agents and delegating tasks effectively
• Experience with managing agent-to-agent communication protocols and workflow design
• Advanced implementation experience utilizing enterprise knowledge bases
• Deep knowledge of enterprise AI search, knowledge discovery, and workplace intelligence solutions
• Exceptional analytical, problem-solving, and communication skills
• Proven leadership, team management, and strategic business acumen
• Highly adaptable to new technologies
• PhD in AI, Machine Learning, or related field
• Relevant industry certifications (e.g., AWS ML Specialty, Google Cloud ML Engineer)
• Experience in NLP, Computer Vision, or Robotics
• Deep knowledge of AI ethics, bias detection, and responsible deployment
• Experience implementing solutions on edge computing and IoT devices
• Familiarity with advanced agent development frameworks like AutoGen, LangChain, or Semantic Kernel

Responsibilities

• Develop and execute comprehensive AI strategies and roadmaps aligned with core business objectives
• Design robust, end-to-end AI architectures for complex applications and systems
• Evaluate, select, and integrate appropriate AI technologies, frameworks, and platforms
• Produce detailed technical specifications and architectural blueprints for all AI initiatives
• Serve as the technical lead for cross-functional teams throughout the AI project development and implementation lifecycle
• Provide expert guidance on machine learning models, algorithms, and high-performance data pipelines
• Manage the seamless integration of new AI solutions with existing enterprise infrastructure
• Instill and enforce best practices for the development, deployment, and ongoing maintenance of AI systems
• Architect scalable data platforms specifically designed to support demanding AI/ML workloads
• Establish and maintain data governance frameworks, ensuring strict adherence to data quality standards
• Design and implement cloud-based AI infrastructure and strategic deployment mechanisms
• Proactively optimize system performance and efficiently manage resource utilization
• Work closely with data scientists, data engineers, and diverse business stakeholders to drive results
• Translate high-level business requirements into clear, actionable, and robust technical AI solutions
• Present complex architectural designs and strategic recommendations to executive leadership
• Act as a mentor for junior team members and champion AI literacy and understanding across the organization

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).
• Global benefits provide options for the following:
• 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: Ph.D. or professional degree