Resume and JobRESUME AND JOB
DocuSign logo

Forward-Deployed AI Engineer

DocuSign

Software and Technology Jobs

Forward-Deployed AI Engineer

full-timePosted: Nov 18, 2025

Job Description

Forward-Deployed AI Engineer

Location: United States; Washington, DC, United States

Department: Sales & Partnerships

Work Mode: Remote

About the Role

DocuSign brings agreements to life, empowering over 1.5 million customers and a billion people worldwide with intelligent agreement management. As the #1 company in e-signature and contract lifecycle management (CLM), we're unleashing business-critical data trapped in documents to drive efficiency and innovation. Join our Sales & Partnerships team as a Forward-Deployed AI Engineer in the Washington, D.C. metro area, where you'll bridge cutting-edge AI with federal mission outcomes. This individual contributor role, reporting to the Senior Director of Solution Consulting, embeds you directly with U.S. government agencies to design, prototype, and deploy secure, AI-powered e-signature workflows that transform how agencies manage, understand, and act on agreements. You'll pioneer DocuSign's Intelligent Agreement Management platform in FedRAMP-compliant environments, building end-to-end solutions with LLMs for semantic search, custom extractions, and workflow automation. Expect to travel up to 50% to collaborate on-site, iterating rapidly amid legacy constraints, ATO processes, and evolving security rules. Your work will operationalize generative AI—using tools like LangChain and RAG pipelines—to optimize e-signature use cases, while sharing frontline insights to shape DocuSign's product roadmap. This is remote-eligible with a focus on D.C.-area proximity for strategic federal partnerships. Thriving here demands 15+ years of engineering expertise, customer-facing experience, and a passion for compliant AI innovation. Our culture celebrates equality, trust, and bold experimentation—where every voice shapes a more agreeable world. With competitive pay ($169K-$280K base, plus RSUs, bonuses, and global benefits), you'll contribute to secure government digital transformation while advancing DocuSign's leadership in e-signature and AI-driven CLM.

Key Responsibilities

  • Design, build, and deploy end-to-end AI-enabled applications spanning backend microservices, data pipelines, vector databases, and modern front-end interfaces for intelligent agreement management
  • Apply an experimentation mindset to prototype concepts, iterate on customer feedback, and develop reusable AI libraries, prompts, and scaffolds to accelerate DocuSign federal engagements
  • Implement solutions compliant with FedRAMP, FISMA, NIST, and agency security standards for government procurement and citizen-facing e-signature workflows
  • Operationalize LLM capabilities including custom extractions, semantic search, and workflow intelligence within FedRAMP-authorized environments
  • Iterate on AI/ML solutions with advanced LLM prompting, tuning, and optimization tailored to DocuSign agreement use cases
  • Embed directly with federal customers on-site or virtually to adapt solutions, navigating legacy systems, ATO processes, and data classification rules
  • Translate customer requirements into technical designs, manage execution, and deliver field-tested insights to shape DocuSign's Intelligent Agreement Management platform
  • Collaborate with sales, partnerships, and product teams to drive secure, AI-powered e-signature and contract lifecycle innovations
  • Ensure seamless integration of DocuSign e-signature into enterprise ecosystems while maintaining compliance and security
  • Champion DevSecOps best practices to deploy reliable, scalable AI solutions in high-stakes government environments

Required Qualifications

  • 15+ years of software engineering experience with a focus on full-stack development
  • 4+ years in customer-facing or embedded engineering roles, ideally in federal or enterprise environments
  • Hands-on experience across backend (Python, Node.js, Java), frontend (React, Angular), and API design, including building AI-native systems in production
  • Deep expertise in LLM models, generative AI frameworks (e.g., LangChain, RAG pipelines, vector search, prompt chaining)
  • Proficiency in DevOps practices including CI/CD, containerization, IaC, and cloud platforms (AWS, Azure, or GCP)
  • Strong understanding of FedRAMP, FISMA, NIST, or similar security frameworks for compliant deployments
  • Willingness to travel up to 50% for client engagements in the Washington, D.C. metro area

Preferred Qualifications

  • Experience with U.S. federal agencies, system integrators, or GovCloud (AWS/Azure) environments
  • Active or eligible for U.S. government security clearance (Public Trust, Secret, or Top Secret)
  • Relevant certifications such as Security+, CISSP, AWS Certified Security – Specialty, or Azure Security Engineer Associate
  • Hands-on MLOps experience with Vertex AI, Azure ML, or DevSecOps in regulated settings
  • Integration experience with SaaS platforms like DocuSign, Salesforce, ServiceNow, or API management tools (Apigee, MuleSoft)

Required Skills

  • Full-stack development (Python, Node.js, Java, React, Angular)
  • API design and integration
  • LLM models and generative AI (LangChain, RAG, vector search, prompt chaining)
  • DevOps (CI/CD, Docker, Kubernetes, Terraform/IaC)
  • Cloud platforms (AWS GovCloud, Azure, GCP)
  • FedRAMP, FISMA, NIST compliance
  • MLOps and model deployment pipelines
  • Customer-facing communication and stakeholder management
  • Agile experimentation and iterative delivery
  • Security frameworks (ATO processes, OAuth2, SAML, SCIM)
  • SaaS integrations (DocuSign eSignature, Salesforce, ServiceNow)
  • DevSecOps in regulated environments
  • Problem-solving in legacy system constraints
  • Travel readiness and on-site embedding

Benefits

  • Competitive base salary ranging from $169,000 - $280,400 based on location and experience
  • Variable incentive pay or company bonus plan tied to performance
  • Restricted Stock Units (RSUs) as part of total compensation
  • Generous Paid Time Off plus paid company holidays
  • Paid Parental Leave up to six months for birth, adoption, or foster care
  • Comprehensive health benefits with 100% employer-paid options from day one
  • Retirement plans with potential employer contributions
  • Learning and development including coaching, online courses, and education reimbursements
  • Compassionate Care Leave for life-changing events

DocuSign is an Equal Opportunity Employer.

Locations

  • Remote, Not Specified, United States (Remote)
  • Remote, Not Specified, Washington, DC, United States 20013 (Remote)

Salary

Estimated Salary Rangehigh confidence

220,000 - 360,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Full-stack development (Python, Node.js, Java, React, Angular)intermediate
  • API design and integrationintermediate
  • LLM models and generative AI (LangChain, RAG, vector search, prompt chaining)intermediate
  • DevOps (CI/CD, Docker, Kubernetes, Terraform/IaC)intermediate
  • Cloud platforms (AWS GovCloud, Azure, GCP)intermediate
  • FedRAMP, FISMA, NIST complianceintermediate
  • MLOps and model deployment pipelinesintermediate
  • Customer-facing communication and stakeholder managementintermediate
  • Agile experimentation and iterative deliveryintermediate
  • Security frameworks (ATO processes, OAuth2, SAML, SCIM)intermediate
  • SaaS integrations (DocuSign eSignature, Salesforce, ServiceNow)intermediate
  • DevSecOps in regulated environmentsintermediate
  • Problem-solving in legacy system constraintsintermediate
  • Travel readiness and on-site embeddingintermediate

Required Qualifications

  • 15+ years of software engineering experience with a focus on full-stack development (experience)
  • 4+ years in customer-facing or embedded engineering roles, ideally in federal or enterprise environments (experience)
  • Hands-on experience across backend (Python, Node.js, Java), frontend (React, Angular), and API design, including building AI-native systems in production (experience)
  • Deep expertise in LLM models, generative AI frameworks (e.g., LangChain, RAG pipelines, vector search, prompt chaining) (experience)
  • Proficiency in DevOps practices including CI/CD, containerization, IaC, and cloud platforms (AWS, Azure, or GCP) (experience)
  • Strong understanding of FedRAMP, FISMA, NIST, or similar security frameworks for compliant deployments (experience)
  • Willingness to travel up to 50% for client engagements in the Washington, D.C. metro area (experience)

Preferred Qualifications

  • Experience with U.S. federal agencies, system integrators, or GovCloud (AWS/Azure) environments (experience)
  • Active or eligible for U.S. government security clearance (Public Trust, Secret, or Top Secret) (experience)
  • Relevant certifications such as Security+, CISSP, AWS Certified Security – Specialty, or Azure Security Engineer Associate (experience)
  • Hands-on MLOps experience with Vertex AI, Azure ML, or DevSecOps in regulated settings (experience)
  • Integration experience with SaaS platforms like DocuSign, Salesforce, ServiceNow, or API management tools (Apigee, MuleSoft) (experience)

Responsibilities

  • Design, build, and deploy end-to-end AI-enabled applications spanning backend microservices, data pipelines, vector databases, and modern front-end interfaces for intelligent agreement management
  • Apply an experimentation mindset to prototype concepts, iterate on customer feedback, and develop reusable AI libraries, prompts, and scaffolds to accelerate DocuSign federal engagements
  • Implement solutions compliant with FedRAMP, FISMA, NIST, and agency security standards for government procurement and citizen-facing e-signature workflows
  • Operationalize LLM capabilities including custom extractions, semantic search, and workflow intelligence within FedRAMP-authorized environments
  • Iterate on AI/ML solutions with advanced LLM prompting, tuning, and optimization tailored to DocuSign agreement use cases
  • Embed directly with federal customers on-site or virtually to adapt solutions, navigating legacy systems, ATO processes, and data classification rules
  • Translate customer requirements into technical designs, manage execution, and deliver field-tested insights to shape DocuSign's Intelligent Agreement Management platform
  • Collaborate with sales, partnerships, and product teams to drive secure, AI-powered e-signature and contract lifecycle innovations
  • Ensure seamless integration of DocuSign e-signature into enterprise ecosystems while maintaining compliance and security
  • Champion DevSecOps best practices to deploy reliable, scalable AI solutions in high-stakes government environments

Benefits

  • general: Competitive base salary ranging from $169,000 - $280,400 based on location and experience
  • general: Variable incentive pay or company bonus plan tied to performance
  • general: Restricted Stock Units (RSUs) as part of total compensation
  • general: Generous Paid Time Off plus paid company holidays
  • general: Paid Parental Leave up to six months for birth, adoption, or foster care
  • general: Comprehensive health benefits with 100% employer-paid options from day one
  • general: Retirement plans with potential employer contributions
  • general: Learning and development including coaching, online courses, and education reimbursements
  • general: Compassionate Care Leave for life-changing events

Target Your Resume for "Forward-Deployed AI Engineer" , DocuSign

Get personalized recommendations to optimize your resume specifically for Forward-Deployed AI Engineer. Takes only 15 seconds!

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

Check Your ATS Score for "Forward-Deployed AI 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

DocuSignSaaSSales & PartnershipsNot SpecifiedUnited StatesSales & Partnerships

Answer 10 quick questions to check your fit for Forward-Deployed AI Engineer @ DocuSign.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.

DocuSign logo

Forward-Deployed AI Engineer

DocuSign

Software and Technology Jobs

Forward-Deployed AI Engineer

full-timePosted: Nov 18, 2025

Job Description

Forward-Deployed AI Engineer

Location: United States; Washington, DC, United States

Department: Sales & Partnerships

Work Mode: Remote

About the Role

DocuSign brings agreements to life, empowering over 1.5 million customers and a billion people worldwide with intelligent agreement management. As the #1 company in e-signature and contract lifecycle management (CLM), we're unleashing business-critical data trapped in documents to drive efficiency and innovation. Join our Sales & Partnerships team as a Forward-Deployed AI Engineer in the Washington, D.C. metro area, where you'll bridge cutting-edge AI with federal mission outcomes. This individual contributor role, reporting to the Senior Director of Solution Consulting, embeds you directly with U.S. government agencies to design, prototype, and deploy secure, AI-powered e-signature workflows that transform how agencies manage, understand, and act on agreements. You'll pioneer DocuSign's Intelligent Agreement Management platform in FedRAMP-compliant environments, building end-to-end solutions with LLMs for semantic search, custom extractions, and workflow automation. Expect to travel up to 50% to collaborate on-site, iterating rapidly amid legacy constraints, ATO processes, and evolving security rules. Your work will operationalize generative AI—using tools like LangChain and RAG pipelines—to optimize e-signature use cases, while sharing frontline insights to shape DocuSign's product roadmap. This is remote-eligible with a focus on D.C.-area proximity for strategic federal partnerships. Thriving here demands 15+ years of engineering expertise, customer-facing experience, and a passion for compliant AI innovation. Our culture celebrates equality, trust, and bold experimentation—where every voice shapes a more agreeable world. With competitive pay ($169K-$280K base, plus RSUs, bonuses, and global benefits), you'll contribute to secure government digital transformation while advancing DocuSign's leadership in e-signature and AI-driven CLM.

Key Responsibilities

  • Design, build, and deploy end-to-end AI-enabled applications spanning backend microservices, data pipelines, vector databases, and modern front-end interfaces for intelligent agreement management
  • Apply an experimentation mindset to prototype concepts, iterate on customer feedback, and develop reusable AI libraries, prompts, and scaffolds to accelerate DocuSign federal engagements
  • Implement solutions compliant with FedRAMP, FISMA, NIST, and agency security standards for government procurement and citizen-facing e-signature workflows
  • Operationalize LLM capabilities including custom extractions, semantic search, and workflow intelligence within FedRAMP-authorized environments
  • Iterate on AI/ML solutions with advanced LLM prompting, tuning, and optimization tailored to DocuSign agreement use cases
  • Embed directly with federal customers on-site or virtually to adapt solutions, navigating legacy systems, ATO processes, and data classification rules
  • Translate customer requirements into technical designs, manage execution, and deliver field-tested insights to shape DocuSign's Intelligent Agreement Management platform
  • Collaborate with sales, partnerships, and product teams to drive secure, AI-powered e-signature and contract lifecycle innovations
  • Ensure seamless integration of DocuSign e-signature into enterprise ecosystems while maintaining compliance and security
  • Champion DevSecOps best practices to deploy reliable, scalable AI solutions in high-stakes government environments

Required Qualifications

  • 15+ years of software engineering experience with a focus on full-stack development
  • 4+ years in customer-facing or embedded engineering roles, ideally in federal or enterprise environments
  • Hands-on experience across backend (Python, Node.js, Java), frontend (React, Angular), and API design, including building AI-native systems in production
  • Deep expertise in LLM models, generative AI frameworks (e.g., LangChain, RAG pipelines, vector search, prompt chaining)
  • Proficiency in DevOps practices including CI/CD, containerization, IaC, and cloud platforms (AWS, Azure, or GCP)
  • Strong understanding of FedRAMP, FISMA, NIST, or similar security frameworks for compliant deployments
  • Willingness to travel up to 50% for client engagements in the Washington, D.C. metro area

Preferred Qualifications

  • Experience with U.S. federal agencies, system integrators, or GovCloud (AWS/Azure) environments
  • Active or eligible for U.S. government security clearance (Public Trust, Secret, or Top Secret)
  • Relevant certifications such as Security+, CISSP, AWS Certified Security – Specialty, or Azure Security Engineer Associate
  • Hands-on MLOps experience with Vertex AI, Azure ML, or DevSecOps in regulated settings
  • Integration experience with SaaS platforms like DocuSign, Salesforce, ServiceNow, or API management tools (Apigee, MuleSoft)

Required Skills

  • Full-stack development (Python, Node.js, Java, React, Angular)
  • API design and integration
  • LLM models and generative AI (LangChain, RAG, vector search, prompt chaining)
  • DevOps (CI/CD, Docker, Kubernetes, Terraform/IaC)
  • Cloud platforms (AWS GovCloud, Azure, GCP)
  • FedRAMP, FISMA, NIST compliance
  • MLOps and model deployment pipelines
  • Customer-facing communication and stakeholder management
  • Agile experimentation and iterative delivery
  • Security frameworks (ATO processes, OAuth2, SAML, SCIM)
  • SaaS integrations (DocuSign eSignature, Salesforce, ServiceNow)
  • DevSecOps in regulated environments
  • Problem-solving in legacy system constraints
  • Travel readiness and on-site embedding

Benefits

  • Competitive base salary ranging from $169,000 - $280,400 based on location and experience
  • Variable incentive pay or company bonus plan tied to performance
  • Restricted Stock Units (RSUs) as part of total compensation
  • Generous Paid Time Off plus paid company holidays
  • Paid Parental Leave up to six months for birth, adoption, or foster care
  • Comprehensive health benefits with 100% employer-paid options from day one
  • Retirement plans with potential employer contributions
  • Learning and development including coaching, online courses, and education reimbursements
  • Compassionate Care Leave for life-changing events

DocuSign is an Equal Opportunity Employer.

Locations

  • Remote, Not Specified, United States (Remote)
  • Remote, Not Specified, Washington, DC, United States 20013 (Remote)

Salary

Estimated Salary Rangehigh confidence

220,000 - 360,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Full-stack development (Python, Node.js, Java, React, Angular)intermediate
  • API design and integrationintermediate
  • LLM models and generative AI (LangChain, RAG, vector search, prompt chaining)intermediate
  • DevOps (CI/CD, Docker, Kubernetes, Terraform/IaC)intermediate
  • Cloud platforms (AWS GovCloud, Azure, GCP)intermediate
  • FedRAMP, FISMA, NIST complianceintermediate
  • MLOps and model deployment pipelinesintermediate
  • Customer-facing communication and stakeholder managementintermediate
  • Agile experimentation and iterative deliveryintermediate
  • Security frameworks (ATO processes, OAuth2, SAML, SCIM)intermediate
  • SaaS integrations (DocuSign eSignature, Salesforce, ServiceNow)intermediate
  • DevSecOps in regulated environmentsintermediate
  • Problem-solving in legacy system constraintsintermediate
  • Travel readiness and on-site embeddingintermediate

Required Qualifications

  • 15+ years of software engineering experience with a focus on full-stack development (experience)
  • 4+ years in customer-facing or embedded engineering roles, ideally in federal or enterprise environments (experience)
  • Hands-on experience across backend (Python, Node.js, Java), frontend (React, Angular), and API design, including building AI-native systems in production (experience)
  • Deep expertise in LLM models, generative AI frameworks (e.g., LangChain, RAG pipelines, vector search, prompt chaining) (experience)
  • Proficiency in DevOps practices including CI/CD, containerization, IaC, and cloud platforms (AWS, Azure, or GCP) (experience)
  • Strong understanding of FedRAMP, FISMA, NIST, or similar security frameworks for compliant deployments (experience)
  • Willingness to travel up to 50% for client engagements in the Washington, D.C. metro area (experience)

Preferred Qualifications

  • Experience with U.S. federal agencies, system integrators, or GovCloud (AWS/Azure) environments (experience)
  • Active or eligible for U.S. government security clearance (Public Trust, Secret, or Top Secret) (experience)
  • Relevant certifications such as Security+, CISSP, AWS Certified Security – Specialty, or Azure Security Engineer Associate (experience)
  • Hands-on MLOps experience with Vertex AI, Azure ML, or DevSecOps in regulated settings (experience)
  • Integration experience with SaaS platforms like DocuSign, Salesforce, ServiceNow, or API management tools (Apigee, MuleSoft) (experience)

Responsibilities

  • Design, build, and deploy end-to-end AI-enabled applications spanning backend microservices, data pipelines, vector databases, and modern front-end interfaces for intelligent agreement management
  • Apply an experimentation mindset to prototype concepts, iterate on customer feedback, and develop reusable AI libraries, prompts, and scaffolds to accelerate DocuSign federal engagements
  • Implement solutions compliant with FedRAMP, FISMA, NIST, and agency security standards for government procurement and citizen-facing e-signature workflows
  • Operationalize LLM capabilities including custom extractions, semantic search, and workflow intelligence within FedRAMP-authorized environments
  • Iterate on AI/ML solutions with advanced LLM prompting, tuning, and optimization tailored to DocuSign agreement use cases
  • Embed directly with federal customers on-site or virtually to adapt solutions, navigating legacy systems, ATO processes, and data classification rules
  • Translate customer requirements into technical designs, manage execution, and deliver field-tested insights to shape DocuSign's Intelligent Agreement Management platform
  • Collaborate with sales, partnerships, and product teams to drive secure, AI-powered e-signature and contract lifecycle innovations
  • Ensure seamless integration of DocuSign e-signature into enterprise ecosystems while maintaining compliance and security
  • Champion DevSecOps best practices to deploy reliable, scalable AI solutions in high-stakes government environments

Benefits

  • general: Competitive base salary ranging from $169,000 - $280,400 based on location and experience
  • general: Variable incentive pay or company bonus plan tied to performance
  • general: Restricted Stock Units (RSUs) as part of total compensation
  • general: Generous Paid Time Off plus paid company holidays
  • general: Paid Parental Leave up to six months for birth, adoption, or foster care
  • general: Comprehensive health benefits with 100% employer-paid options from day one
  • general: Retirement plans with potential employer contributions
  • general: Learning and development including coaching, online courses, and education reimbursements
  • general: Compassionate Care Leave for life-changing events

Target Your Resume for "Forward-Deployed AI Engineer" , DocuSign

Get personalized recommendations to optimize your resume specifically for Forward-Deployed AI Engineer. Takes only 15 seconds!

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

Check Your ATS Score for "Forward-Deployed AI 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

DocuSignSaaSSales & PartnershipsNot SpecifiedUnited StatesSales & Partnerships

Answer 10 quick questions to check your fit for Forward-Deployed AI Engineer @ DocuSign.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.