Forward-Deployed AI Engineer
Company: DocuSign
Location: Mount Rainier
Posted on: January 17, 2026
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Job Description:
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 youll do Docusign is reimagining how government agencies
manage, understand, and act on their agreements. Our
Forward-Deployed Engineers (FDEs) are the bridge between innovation
and impact — embedding directly with federal customers to design,
prototype, and help deploy secure, AI-enabled agreement workflows
that drive mission outcomes. You’ll be at the front line of this
transformation—building what’s next for secure, intelligent
government workflows. Given the strategic nature of our federal
engagements, this position is based in the Washington, D.C. metro
area to enable close collaboration with our customers and partners.
This position is an individual contributor role reporting to Senior
Director, Solution Consulting. Responsibility • Design, build, and
deploy end-to-end applications that span backend microservices,
data orchestration pipelines, vector databases and modern front-end
interfaces • Apply an author of experimentation mindset — build
concepts, iterate on feedback, and create reusable libraries,
prompts and scaffolds to accelerate future engagements • Design and
implement solutions that meet FedRAMP, FISMA, NIST and other agency
security requirements, addressing both government procurement and
citizen facing use cases • Operationalize large language model
(LLM) capabilities, build custom extractions, semantic search, and
workflow intelligence within FedRAMP-authorized environments •
Iterate on AI/ML solutions, includingLLMprompting and tuning to
optimize agreement use cases • Embed with customers—on site or
virtually—to adapt and iterate solutions in live environments,
expeditiously navigating legacy system constraints, ATO processes,
and evolving data-classification rules with agility and compliance
discipline • Work closely with your team to translate customer
requirements into technical designs, manage execution and share
field tested insights with Docusign’s product teams to shape
Intelligent Agreement Management Job Designation Remote:Employee is
not required to be in or near an office frequently and works from a
designated remote work location for the majority of the time.
Positions at Docusign are assigned a job designation of either In
Office, Hybrid or Remote and are specific to the role/job.
Preferred job designations are not guaranteed when changing
positions within Docusign. Docusign reserves the right to change a
positions job designation depending on business needs and as
permitted by local law. What you bring Basic • 15 years of software
engineering experience • 4 years in customer facing or embedded
roles • Experience across backend (Python, Node.js, Java), frontend
(React, Angular) and API design, with hands on experience building
AI native systems in production • Experience in LLM models, tooling
and generative AI frameworks (e.g., LangChain, RAG pipelines,
vector search, prompt chaining) • Experience with DevOps
skills—CI/CD, containerization, IaC—and familiarity with cloud
platforms (AWS, Azure or GCP) • Understanding of FedRAMP or similar
security frameworks • Willingness to travel up to ~50 % for client
engagements Preferred • Ability to communicate complex technical
concepts to both technical and non technical stakeholders,
prioritize user value and drive iterative delivery • Experience
working with U.S. federal agencies or system integrators (SI/FSI)
on cloud modernization, AI, or digital-workflow transformation
initiatives • Familiarity with ATO (Authority to Operate)
processes, CSP security assessments, and federal
data-classification standards • Experience deploying within
GovCloud (AWS or Azure) or similar compliant environments • Active
or eligible for Public Trust, Secret, or Top-Secret clearance
(depending on agency) • Security, CISSP, AWS Certified Security –
Specialty, or Azure Security Engineer Associate certification •
Experience integrating SaaS platforms such as Docusign, Salesforce,
• ServiceNow, SAP Ariba, or Adobe into enterprise or agency
ecosystems • Familiarity with API management (Apigee, MuleSoft,
Kong) and secure data-exchange standards (SAML, OAuth2, SCIM) •
Hands-on knowledge of MLOps frameworks, Vertex AI, or Azure ML,
including model deployment pipelines and continuous model
evaluation • Experience applying DevSecOps best practices in
regulated or classified environments
Keywords: DocuSign, Wilmington , Forward-Deployed AI Engineer, IT / Software / Systems , Mount Rainier, Delaware