C#, .NET, Python, JavaScript, and TypeScript
React, Angular, or similar front end technologies
Large language models, retrieval augmented generation, and AI enabled applications
Agent orchestration frameworks, including LangGraph and Semantic Kernel
Model Context Protocol
Vector and hybrid search technologies
Docker and Kubernetes
Terraform and Bicep
Git based source control and CI/CD platforms
Data pipeline, machine learning, and MLOps tooling
AWS services, including SageMaker, Glue, Athena, Lambda, ECS, and S3
Responsibilities include
Application Development & Architecture
Designing, developing, and maintaining enterprise-grade applications, APIs, services, and shared platform capabilities.
Developing AI-enabled solutions that integrate the firm’s proprietary large language models, services, retrieval capabilities, and intelligent agent frameworks into legal and business workflows.
Leading the technical architecture and end-to-end delivery of complex software initiatives from rapid prototyping and proof of concept through production implementation.
Defining technical strategies and architecture patterns that balance scalability, maintainability, security, reliability, and performance.
Translating complex legal and business workflows into scalable technical solutions, including determining where AI-enabled or agent-assisted solutions can provide meaningful value.
Automating manual and email-driven processes through data-integrated workflows and intelligent decision support.
Evaluating emerging technologies and recommending adoption where appropriate.
AI & Agentic Workflow Engineering
Designing and building agentic workflows that plan, invoke tools, and execute multi-step legal and business processes.
Developing tools and Model Context Protocol interfaces that securely connect AI agents with firm systems and data.
Building orchestration capabilities including state management, retries, checkpointing, human review, approvals, and safe recovery for long-running workflows.
Develop, deploy, and maintain AI-powered applications, large language model (LLM) solutions, retrieval-augmented generation (RAG) architectures, intelligent agents, and workflow automation capabilities that support legal and business functions across the firm.
Establishing evaluation, testing, monitoring, and quality standards for AI-enabled and non-deterministic systems.
Partnering with AI Platform Engineering to leverage shared model gateway, retrieval, evaluation, and orchestration services.
Full-Stack, Data & Integration Engineering
Developing modern web applications and services using contemporary front-end and back-end technologies.
Designing reusable application components, services, APIs, microservices, and integration patterns.
Integrating applications with internal platforms, document and knowledge management systems, search services, and other enterprise applications.
Building and maintaining data pipelines that transform structured and unstructured information for retrieval, evaluation, machine learning, and real-time inference.
Applying machine learning, natural language processing, and document-understanding techniques where appropriate.
Partnering with AI Platform Engineering on MLOps practices including model deployment, monitoring, drift detection, and retraining.
Software Engineering, Security & Operations
Establishing and championing engineering standards and best practices including automated testing, CI/CD, observability, release management, and secure development.
Leading technical design and architecture reviews and providing guidance on implementation approaches.
Building solutions in accordance with firm security standards, data governance policies, confidentiality requirements, and client obligations.
Implementing appropriate authentication, authorization, auditing, monitoring, and least-privilege access controls.
Designing appropriate human oversight and safety controls for AI-enabled applications, including protections against prompt injection, data exfiltration, and unintended actions.
Monitoring and optimizing application performance, scalability, reliability, and user experience.
Leading production incident investigations, root cause analyses, and long-term resiliency improvements.
Collaboration & Technical Leadership
Partnering with attorneys, business stakeholders, product owners, architects, and engineers to understand business needs and translate them into technical solutions.
Leading discovery and design discussions to identify high-value automation and AI opportunities.
Presenting technical concepts, solution approaches, business value, and associated risks to executive and non-technical stakeholders.
Mentoring engineers through code reviews, technical coaching, architecture discussions, and design guidance.
Influencing engineering standards, technology roadmaps, and software development best practices across teams.
Building consensus across engineering, infrastructure, information security, and business teams.
Qualifications
Experience developing applications within Microsoft Azure environments.
Hands-on experience with agent frameworks, orchestration tooling, Model Context Protocol, and evaluation frameworks for non-deterministic systems.
Hands-on experience with a second major cloud platform — for example AWS (SageMaker, Glue, Athena, Lambda, ECS, S3)
Experience with data engineering, machine learning, MLOps, natural language processing, or document-understanding technologies.
Experience delivering technology in regulated or audited environments, including model validation or compliance-driven oversight requirements
Extensive experience designing and developing web applications, APIs, microservices, and distributed systems.
Demonstrated experience designing scalable enterprise architectures and leading technical delivery for complex, cross-functional initiatives.
Experience translating ambiguous business requirements into scalable technical solutions and leading initiatives from prototype through production.
Experience building production software using large language models, including retrieval, tool or function calling, and orchestration of multi-step workflows.
Strong understanding of software architecture, object-oriented design, distributed systems, application performance, and reliability.
Experience with source control, Git workflows, automated testing, CI/CD pipelines, and DevOps practices.
Demonstrated ability to mentor engineers, influence technical direction, and establish engineering standards.
Strong communication skills with demonstrated experience partnering with technical, business, and executive stakeholders.
Experience
Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline.
10 to 15 years of progressive experience designing, developing, and leading the delivery of enterprise software applications.
Strong proficiency in one or more modern programming languages such as C#, .NET, Python, JavaScript, or TypeScript.
Relevant Microsoft Azure, software development, or cloud certifications are a plus.
Gibson Dunn will consider for employment qualified Applicants with Criminal Histories in a manner consistent with the requirements of local law.
Compensation & Benefits
The annual compensation range for this position is $180,000 - $230,000. The salary offered within this range will depend upon qualifications and other operational considerations.
Benefits offered for this position include health care; retirement benefits; paid days off, including sick time, and vacation time; parental leave; basic life insurance; Flexible Spending Accounts; as well as discretionary, performance-based bonuses.
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For technical difficulties with our online application, please contact us at staffrecruiting@gibsondunn.com. Our recruiting support team will respond as soon as possible.
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Gibson Dunn is committed to ensuring equal employment opportunities for all qualified applicants, including individuals with disabilities. We strive to ensure an inclusive and accessible hiring experience. The Firm will provide reasonable accommodations to qualified individuals with disabilities to enable participation in the application and recruitment process, unless doing so would impose an undue hardship, in accordance with applicable laws and regulations.
If you require a reasonable accommodation to complete an application, participate in an interview, or otherwise take part in the recruitment process, please contact us at recruiting-accommodations@gibsondunn.com. Please note, this is a dedicated email inbox established exclusively to assist applicants with accommodation request related to the recruitment process. Inquiries about the status of an application or other non-accommodation matter will not receive a response.
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Notice to Recruitment Agencies: Gibson Dunn does not accept unsolicited resumes from recruitment agencies, headhunters, or vendors. Resumes sent to any Gibson Dunn employee or attorney, or submitted by an agency through the direct candidate application portal will not establish agency ownership of the candidate and Gibson Dunn will not be expected to honor an agency’s terms or pay any related fees. When a role is open for agency submissions, Gibson Dunn will notify our current agency partners and make the position available through our Agency Portal in Greenhouse. Only agencies that have been given portal access are authorized to submit candidates for consideration. Agencies without a current agreement that wish to be considered for future opportunities may contact staffrecruiting@gibsondunn.com. Please do not send resumes to this address.
