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Lead AI Agentic Engineer

DocuSign

Software and Technology Jobs

Lead AI Agentic Engineer

full-timePosted: Oct 30, 2025

Job Description

Lead AI Agentic Engineer

Location: San Francisco, California; Seattle, Washington

Department: IT Infrastructure & Operations

Work Mode: Hybrid

About the Role

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 business processes and simplify lives through intelligent agreement management. As the #1 company in e-signature and contract lifecycle management (CLM), Docusign unleashes business-critical data trapped in documents, connecting it to systems of record to save time, money, and opportunity. Join our innovation-driven culture where trust, equality, and cutting-edge technology empower you to make the world more agreeable. As the Lead AI Agentic Engineer on the End User Engineering team, you will define and drive the technical vision for next-generation autonomous IT operations at DocuSign. Architect, scale, and operationalize agentic AI solutions that proactively resolve issues, eliminate operational burden, and strengthen enterprise security—directly supporting our e-signature and CLM platforms. Own the technical roadmap as the primary SME, collaborating across IT, security, and business teams to deliver secure, compliant, scalable AI-driven workflows and agents. This individual contributor role reports to the Sr. Director, End User Engineering, in a hybrid model requiring minimum 2 days per week in-office. You will lead the development of a scalable agentic AI platform using frameworks like Crew AI or Vertex AI for autonomous end-user issue remediation, define integration patterns with DocuSign's SaaS ecosystem for self-healing capabilities, and enforce security-first standards. Establish observability frameworks, mentor engineers, and evangelize AI to drive adoption, ensuring our IT operations align with DocuSign's mission of innovation and reliability. Leverage your expertise to transform employee experiences while safeguarding the infrastructure powering billions of agreements. Docusign is committed to building trust and equality, offering competitive pay (e.g., California: $157,500-$254,350 base; other locations vary), RSUs, comprehensive benefits, and a culture where your contributions create lasting impact. This position is not eligible for employment in certain states (Alaska, Hawaii, etc.). We provide reasonable accommodations—contact accommodations@docusign.com.

Key Responsibilities

  • Architect, design, and lead development of a scalable agentic AI platform using frameworks like Crew AI or Vertex AI to proactively remediate end-user issues
  • Define architectural patterns and best practices for integrating AI agents with DocuSign's SaaS platforms and IT systems for self-healing and auto-remediation
  • Champion security-first principles by designing and enforcing standards for agentic workflows to protect corporate assets and ensure compliance
  • Establish metrics, KPIs, and observability frameworks to measure agent performance, business impact, and drive automation expansion
  • Serve as primary technical liaison with EUS Ops, Security, and IT platform owners to define roadmaps and identify high-impact opportunities
  • Mentor senior and junior engineers, elevating team capabilities and fostering innovation in DocuSign's intelligent agreement management ecosystem
  • Own the agentic AI platform strategy, ensuring scalability, reliability, and secure integration as a core IT component
  • Implement and support cloud infrastructure (AWS, GCP, etc.) for agentic AI systems
  • Evangelize agentic AI capabilities to stakeholders, driving adoption and influencing cross-functional roadmaps
  • Collaborate across IT, security, and business teams to deliver AI-driven workflows that transform employee experience and enhance e-signature security
  • Leverage AI to support DocuSign's e-signature and CLM platforms by automating IT operations and reducing operational toil

Required Qualifications

  • Minimum of 12 years of related experience with a Bachelor's degree; or 8 years with a Master's degree; or PhD with 5 years; or equivalent in AI/ML engineering, IT automation, or agent development
  • Experience as a Technical Lead managing large-scale projects with AI Engineers and cross-functional partners
  • Proven expertise in agentic AI frameworks, workflow automation, and intelligent IT service management
  • Hands-on experience with LLMs, RAG pipelines, and enterprise AI integration in production environments
  • Proficiency in scripting/programming languages (e.g., Python, Java) for building production-ready AI solutions
  • Experience embedding security and compliance controls into AI/automation workflows
  • Familiarity with IT operations, incident management, and ticketing systems

Preferred Qualifications

  • Experience with multi-agent orchestration and AI/ML frameworks at enterprise scale
  • Track record of reducing operational burden through AI/automation in complex environments
  • Hands-on experience with cloud providers (AWS, Azure, GCP) and SaaS integration patterns
  • Demonstrated prompt engineering expertise and LLM strategy development
  • Certifications in AI, cloud computing, or ITSM platforms
  • Experience designing end-user AI interfaces like chatbots, copilots, and self-service portals

Required Skills

  • Agentic AI frameworks (e.g., Crew AI, Vertex AI)
  • LLMs and RAG pipelines
  • Python/Java programming
  • Workflow automation and IT service management
  • Security and compliance in AI workflows
  • IT operations and incident management
  • Agile, DevOps, CI/CD practices
  • Containerization (Docker) and orchestration (Kubernetes)
  • Cloud infrastructure (AWS, GCP, Azure)
  • Multi-agent orchestration
  • Prompt engineering and LLM strategy
  • SaaS integration patterns
  • Zero-trust and cloud-native architectures
  • Technical leadership and mentorship
  • Cross-functional collaboration
  • Stakeholder influence and evangelism
  • Metrics/KPI development and observability

Benefits

  • Competitive base salary with bonus eligibility based on company performance
  • Restricted Stock Units (RSUs) as part of total compensation
  • Paid Time Off including earned time off and company holidays
  • Paid Parental Leave up to six months for birth, adoption, or foster care
  • Comprehensive health benefits plans with 100% employer-paid options from day one
  • Retirement plans with potential employer contributions
  • Learning and Development opportunities including coaching, online courses, and education reimbursements
  • Compassionate Care Leave for life-changing events
  • Hybrid work model with minimum 2 days per week in-office

DocuSign is an Equal Opportunity Employer.

Locations

  • 221 Main Street Suite 1000, San Francisco, California, United States 94105
  • 999 3rd Street Suite 1800, Seattle, Washington, United States 98104

Salary

Estimated Salary Rangehigh confidence

320,000 - 480,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Agentic AI frameworks (e.g., Crew AI, Vertex AI)intermediate
  • LLMs and RAG pipelinesintermediate
  • Python/Java programmingintermediate
  • Workflow automation and IT service managementintermediate
  • Security and compliance in AI workflowsintermediate
  • IT operations and incident managementintermediate
  • Agile, DevOps, CI/CD practicesintermediate
  • Containerization (Docker) and orchestration (Kubernetes)intermediate
  • Cloud infrastructure (AWS, GCP, Azure)intermediate
  • Multi-agent orchestrationintermediate
  • Prompt engineering and LLM strategyintermediate
  • SaaS integration patternsintermediate
  • Zero-trust and cloud-native architecturesintermediate
  • Technical leadership and mentorshipintermediate
  • Cross-functional collaborationintermediate
  • Stakeholder influence and evangelismintermediate
  • Metrics/KPI development and observabilityintermediate

Required Qualifications

  • Minimum of 12 years of related experience with a Bachelor's degree; or 8 years with a Master's degree; or PhD with 5 years; or equivalent in AI/ML engineering, IT automation, or agent development (experience)
  • Experience as a Technical Lead managing large-scale projects with AI Engineers and cross-functional partners (experience)
  • Proven expertise in agentic AI frameworks, workflow automation, and intelligent IT service management (experience)
  • Hands-on experience with LLMs, RAG pipelines, and enterprise AI integration in production environments (experience)
  • Proficiency in scripting/programming languages (e.g., Python, Java) for building production-ready AI solutions (experience)
  • Experience embedding security and compliance controls into AI/automation workflows (experience)
  • Familiarity with IT operations, incident management, and ticketing systems (experience)

Preferred Qualifications

  • Experience with multi-agent orchestration and AI/ML frameworks at enterprise scale (experience)
  • Track record of reducing operational burden through AI/automation in complex environments (experience)
  • Hands-on experience with cloud providers (AWS, Azure, GCP) and SaaS integration patterns (experience)
  • Demonstrated prompt engineering expertise and LLM strategy development (experience)
  • Certifications in AI, cloud computing, or ITSM platforms (experience)
  • Experience designing end-user AI interfaces like chatbots, copilots, and self-service portals (experience)

Responsibilities

  • Architect, design, and lead development of a scalable agentic AI platform using frameworks like Crew AI or Vertex AI to proactively remediate end-user issues
  • Define architectural patterns and best practices for integrating AI agents with DocuSign's SaaS platforms and IT systems for self-healing and auto-remediation
  • Champion security-first principles by designing and enforcing standards for agentic workflows to protect corporate assets and ensure compliance
  • Establish metrics, KPIs, and observability frameworks to measure agent performance, business impact, and drive automation expansion
  • Serve as primary technical liaison with EUS Ops, Security, and IT platform owners to define roadmaps and identify high-impact opportunities
  • Mentor senior and junior engineers, elevating team capabilities and fostering innovation in DocuSign's intelligent agreement management ecosystem
  • Own the agentic AI platform strategy, ensuring scalability, reliability, and secure integration as a core IT component
  • Implement and support cloud infrastructure (AWS, GCP, etc.) for agentic AI systems
  • Evangelize agentic AI capabilities to stakeholders, driving adoption and influencing cross-functional roadmaps
  • Collaborate across IT, security, and business teams to deliver AI-driven workflows that transform employee experience and enhance e-signature security
  • Leverage AI to support DocuSign's e-signature and CLM platforms by automating IT operations and reducing operational toil

Benefits

  • general: Competitive base salary with bonus eligibility based on company performance
  • general: Restricted Stock Units (RSUs) as part of total compensation
  • general: Paid Time Off including earned time off and company holidays
  • general: Paid Parental Leave up to six months for birth, adoption, or foster care
  • general: Comprehensive health benefits plans with 100% employer-paid options from day one
  • general: Retirement plans with potential employer contributions
  • general: Learning and Development opportunities including coaching, online courses, and education reimbursements
  • general: Compassionate Care Leave for life-changing events
  • general: Hybrid work model with minimum 2 days per week in-office

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DocuSign logo

Lead AI Agentic Engineer

DocuSign

Software and Technology Jobs

Lead AI Agentic Engineer

full-timePosted: Oct 30, 2025

Job Description

Lead AI Agentic Engineer

Location: San Francisco, California; Seattle, Washington

Department: IT Infrastructure & Operations

Work Mode: Hybrid

About the Role

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 business processes and simplify lives through intelligent agreement management. As the #1 company in e-signature and contract lifecycle management (CLM), Docusign unleashes business-critical data trapped in documents, connecting it to systems of record to save time, money, and opportunity. Join our innovation-driven culture where trust, equality, and cutting-edge technology empower you to make the world more agreeable. As the Lead AI Agentic Engineer on the End User Engineering team, you will define and drive the technical vision for next-generation autonomous IT operations at DocuSign. Architect, scale, and operationalize agentic AI solutions that proactively resolve issues, eliminate operational burden, and strengthen enterprise security—directly supporting our e-signature and CLM platforms. Own the technical roadmap as the primary SME, collaborating across IT, security, and business teams to deliver secure, compliant, scalable AI-driven workflows and agents. This individual contributor role reports to the Sr. Director, End User Engineering, in a hybrid model requiring minimum 2 days per week in-office. You will lead the development of a scalable agentic AI platform using frameworks like Crew AI or Vertex AI for autonomous end-user issue remediation, define integration patterns with DocuSign's SaaS ecosystem for self-healing capabilities, and enforce security-first standards. Establish observability frameworks, mentor engineers, and evangelize AI to drive adoption, ensuring our IT operations align with DocuSign's mission of innovation and reliability. Leverage your expertise to transform employee experiences while safeguarding the infrastructure powering billions of agreements. Docusign is committed to building trust and equality, offering competitive pay (e.g., California: $157,500-$254,350 base; other locations vary), RSUs, comprehensive benefits, and a culture where your contributions create lasting impact. This position is not eligible for employment in certain states (Alaska, Hawaii, etc.). We provide reasonable accommodations—contact accommodations@docusign.com.

Key Responsibilities

  • Architect, design, and lead development of a scalable agentic AI platform using frameworks like Crew AI or Vertex AI to proactively remediate end-user issues
  • Define architectural patterns and best practices for integrating AI agents with DocuSign's SaaS platforms and IT systems for self-healing and auto-remediation
  • Champion security-first principles by designing and enforcing standards for agentic workflows to protect corporate assets and ensure compliance
  • Establish metrics, KPIs, and observability frameworks to measure agent performance, business impact, and drive automation expansion
  • Serve as primary technical liaison with EUS Ops, Security, and IT platform owners to define roadmaps and identify high-impact opportunities
  • Mentor senior and junior engineers, elevating team capabilities and fostering innovation in DocuSign's intelligent agreement management ecosystem
  • Own the agentic AI platform strategy, ensuring scalability, reliability, and secure integration as a core IT component
  • Implement and support cloud infrastructure (AWS, GCP, etc.) for agentic AI systems
  • Evangelize agentic AI capabilities to stakeholders, driving adoption and influencing cross-functional roadmaps
  • Collaborate across IT, security, and business teams to deliver AI-driven workflows that transform employee experience and enhance e-signature security
  • Leverage AI to support DocuSign's e-signature and CLM platforms by automating IT operations and reducing operational toil

Required Qualifications

  • Minimum of 12 years of related experience with a Bachelor's degree; or 8 years with a Master's degree; or PhD with 5 years; or equivalent in AI/ML engineering, IT automation, or agent development
  • Experience as a Technical Lead managing large-scale projects with AI Engineers and cross-functional partners
  • Proven expertise in agentic AI frameworks, workflow automation, and intelligent IT service management
  • Hands-on experience with LLMs, RAG pipelines, and enterprise AI integration in production environments
  • Proficiency in scripting/programming languages (e.g., Python, Java) for building production-ready AI solutions
  • Experience embedding security and compliance controls into AI/automation workflows
  • Familiarity with IT operations, incident management, and ticketing systems

Preferred Qualifications

  • Experience with multi-agent orchestration and AI/ML frameworks at enterprise scale
  • Track record of reducing operational burden through AI/automation in complex environments
  • Hands-on experience with cloud providers (AWS, Azure, GCP) and SaaS integration patterns
  • Demonstrated prompt engineering expertise and LLM strategy development
  • Certifications in AI, cloud computing, or ITSM platforms
  • Experience designing end-user AI interfaces like chatbots, copilots, and self-service portals

Required Skills

  • Agentic AI frameworks (e.g., Crew AI, Vertex AI)
  • LLMs and RAG pipelines
  • Python/Java programming
  • Workflow automation and IT service management
  • Security and compliance in AI workflows
  • IT operations and incident management
  • Agile, DevOps, CI/CD practices
  • Containerization (Docker) and orchestration (Kubernetes)
  • Cloud infrastructure (AWS, GCP, Azure)
  • Multi-agent orchestration
  • Prompt engineering and LLM strategy
  • SaaS integration patterns
  • Zero-trust and cloud-native architectures
  • Technical leadership and mentorship
  • Cross-functional collaboration
  • Stakeholder influence and evangelism
  • Metrics/KPI development and observability

Benefits

  • Competitive base salary with bonus eligibility based on company performance
  • Restricted Stock Units (RSUs) as part of total compensation
  • Paid Time Off including earned time off and company holidays
  • Paid Parental Leave up to six months for birth, adoption, or foster care
  • Comprehensive health benefits plans with 100% employer-paid options from day one
  • Retirement plans with potential employer contributions
  • Learning and Development opportunities including coaching, online courses, and education reimbursements
  • Compassionate Care Leave for life-changing events
  • Hybrid work model with minimum 2 days per week in-office

DocuSign is an Equal Opportunity Employer.

Locations

  • 221 Main Street Suite 1000, San Francisco, California, United States 94105
  • 999 3rd Street Suite 1800, Seattle, Washington, United States 98104

Salary

Estimated Salary Rangehigh confidence

320,000 - 480,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Agentic AI frameworks (e.g., Crew AI, Vertex AI)intermediate
  • LLMs and RAG pipelinesintermediate
  • Python/Java programmingintermediate
  • Workflow automation and IT service managementintermediate
  • Security and compliance in AI workflowsintermediate
  • IT operations and incident managementintermediate
  • Agile, DevOps, CI/CD practicesintermediate
  • Containerization (Docker) and orchestration (Kubernetes)intermediate
  • Cloud infrastructure (AWS, GCP, Azure)intermediate
  • Multi-agent orchestrationintermediate
  • Prompt engineering and LLM strategyintermediate
  • SaaS integration patternsintermediate
  • Zero-trust and cloud-native architecturesintermediate
  • Technical leadership and mentorshipintermediate
  • Cross-functional collaborationintermediate
  • Stakeholder influence and evangelismintermediate
  • Metrics/KPI development and observabilityintermediate

Required Qualifications

  • Minimum of 12 years of related experience with a Bachelor's degree; or 8 years with a Master's degree; or PhD with 5 years; or equivalent in AI/ML engineering, IT automation, or agent development (experience)
  • Experience as a Technical Lead managing large-scale projects with AI Engineers and cross-functional partners (experience)
  • Proven expertise in agentic AI frameworks, workflow automation, and intelligent IT service management (experience)
  • Hands-on experience with LLMs, RAG pipelines, and enterprise AI integration in production environments (experience)
  • Proficiency in scripting/programming languages (e.g., Python, Java) for building production-ready AI solutions (experience)
  • Experience embedding security and compliance controls into AI/automation workflows (experience)
  • Familiarity with IT operations, incident management, and ticketing systems (experience)

Preferred Qualifications

  • Experience with multi-agent orchestration and AI/ML frameworks at enterprise scale (experience)
  • Track record of reducing operational burden through AI/automation in complex environments (experience)
  • Hands-on experience with cloud providers (AWS, Azure, GCP) and SaaS integration patterns (experience)
  • Demonstrated prompt engineering expertise and LLM strategy development (experience)
  • Certifications in AI, cloud computing, or ITSM platforms (experience)
  • Experience designing end-user AI interfaces like chatbots, copilots, and self-service portals (experience)

Responsibilities

  • Architect, design, and lead development of a scalable agentic AI platform using frameworks like Crew AI or Vertex AI to proactively remediate end-user issues
  • Define architectural patterns and best practices for integrating AI agents with DocuSign's SaaS platforms and IT systems for self-healing and auto-remediation
  • Champion security-first principles by designing and enforcing standards for agentic workflows to protect corporate assets and ensure compliance
  • Establish metrics, KPIs, and observability frameworks to measure agent performance, business impact, and drive automation expansion
  • Serve as primary technical liaison with EUS Ops, Security, and IT platform owners to define roadmaps and identify high-impact opportunities
  • Mentor senior and junior engineers, elevating team capabilities and fostering innovation in DocuSign's intelligent agreement management ecosystem
  • Own the agentic AI platform strategy, ensuring scalability, reliability, and secure integration as a core IT component
  • Implement and support cloud infrastructure (AWS, GCP, etc.) for agentic AI systems
  • Evangelize agentic AI capabilities to stakeholders, driving adoption and influencing cross-functional roadmaps
  • Collaborate across IT, security, and business teams to deliver AI-driven workflows that transform employee experience and enhance e-signature security
  • Leverage AI to support DocuSign's e-signature and CLM platforms by automating IT operations and reducing operational toil

Benefits

  • general: Competitive base salary with bonus eligibility based on company performance
  • general: Restricted Stock Units (RSUs) as part of total compensation
  • general: Paid Time Off including earned time off and company holidays
  • general: Paid Parental Leave up to six months for birth, adoption, or foster care
  • general: Comprehensive health benefits plans with 100% employer-paid options from day one
  • general: Retirement plans with potential employer contributions
  • general: Learning and Development opportunities including coaching, online courses, and education reimbursements
  • general: Compassionate Care Leave for life-changing events
  • general: Hybrid work model with minimum 2 days per week in-office

Target Your Resume for "Lead AI Agentic Engineer" , DocuSign

Get personalized recommendations to optimize your resume specifically for Lead AI Agentic Engineer. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Lead AI Agentic Engineer" , DocuSign

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

DocuSignSaaSIT Infrastructure & OperationsSan FranciscoUnited StatesIT Infrastructure & Operations

Answer 10 quick questions to check your fit for Lead AI Agentic Engineer @ DocuSign.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.