Type of Requisition:
Pipeline
Clearance Level Must Currently Possess:
None
Clearance Level Must Be Able to Obtain:
None
Public Trust/Other Required:
None
Job Family:
Software Engineering
Job Qualifications:
Skills:
Applications Architecture, Artificial Intelligence (AI), Cloud Engineering, Product Lifecycle, Software Development
Certifications:
None
Experience:
15 + years of related experience
US Citizenship Required:
No
Job Description:
Support mission-critical initiatives and enable the growth of our business as a Senior AI-assisted / Cloud-Native Software Engineer SME at GDIT. Here, you’ll become an integral part of how GDIT is able to ensure the safety and security of our nation.
MEANINGFUL WORK AND PERSONAL IMPACT:
- You will serve as a senior engineering leader responsible for building and scaling our AI‑Assisted Software Development capability driving Mission Software growth and delivery excellence. This role goes far beyond “using AI tools” – you will be part of team that establishes the strategy, operating model, practices, and technical foundations required to transform how our teams design, build, test, and deliver software solutions and products using modern AI-enabled development approaches. As a Senior AI-assisted / Cloud-native Software Engineer SME, you will be trusted to help drive the technical solutions needed to win our most complex, large-scale, and strategic pursuits as well as extend our existing Mission Software portfolio
- You will evaluate and rationalize existing AI-enabled tools and platforms across the organization, become the internal expert on their use and integration, define best practices, upskill our engineers, and operationalize AI‑assisted development as an enterprise capability we can confidently take to market
- You will architect, engineer and demonstrate innovative proof of concept solutions that solve key customer challenges
- The role blends technical leadership, solution architecture, go-to-market, organizational change management, and hands-on engineering expertise
- This is a highly strategic and highly technical leadership role designed for an experienced engineering leader who thrives in emerging technology spaces and enjoys scaling new capabilities from the ground up
WHAT YOU’LL NEED TO SUCCEED
Bring your initiative and drive for innovation to GDIT. The Senior AI-assisted / Cloud-Native Software Engineer SME must have:
Education & Experience:
- BA/BS in Computer Science, Engineering, or related field (or equivalent experience)
- 15+ years of progressive software architecture and engineering experience including leading architecture and engineering best practices across complex teams required
- Proven experience developing mission software products, capability development, and demonstrating developed solutions to customers
- Must be a US Person (needed to access sensitive GDIT enterprise systems)
AI-assisted / AI-native Engineering experience:
- Strong understanding of AI-enabled development workflows, not just tool usage: prompt and harness‑engineering patterns, code‑gen improvement loops, safety/quality validation, and architectural impacts, as well as ability to identify, track, and articulate ROI associated with AI and agentic automation
- Ability to assess organizational AI-development maturity and define roadmaps, capability models, and adoption strategies, including ability to identify and implement new operational models (i.e., team size and composition, sprint planning, code reviews, etc.) to optimize delivery
- Direct experience evaluating, selecting, and operationalizing AI-enabled development tools (Anthropic Claude Code, Open AI Codex, Google Gemini, GitHub Copilot etc.)
- Hands-on experience using LLM-based frameworks and retrieval-augmented generation (RAG) as part of software delivery
Capability & Solution Development:
- Ability to rapidly architect, engineer and demonstrate customer proof of concept solutions
- Ability to develop and articulate technical solutions for complex Mission Software growth pursuits
- Ability to identify, hire, coach, and scale engineers in AI-assisted development techniques, responsible use, productivity strategies, and integration patterns
- Experience creating developer education programs, playbooks, best practices, or internal communities of practice to facilitate large-scale change management initiatives
- Experience functioning as an internal SME, providing architectural guidance on how AI changes software engineering design patterns, quality models, and delivery processes
Technical Leadership & Architecture:
- Demonstrated ability to drive technical vision, architecture standards, and execution across complex, multi-team programs
- Experience leading full SDLC and product lifecycle delivery in both agile and hybrid environments
- Strong background implementing operational and engineering standards including CI/CD, DevSecOps, TDD/BDD, automation frameworks, and quality engineering practices
- Experience developing solutions within distributed, cross‑functional, or geographically dispersed teams
Software Engineering Experience:
- Full-Stack development experience including proficiency across multiple programming languages, including Java, JavaScript, Python, .NET, and others
- Hands-on experience using modern front-end and back-end frameworks (e.g., Angular, React, Spring Boot, Django, Next.js, etc.)
- Experience implementing and integrating solutions across variety of operating systems (e.g., Linux, Unix) and Platforms as a Service (e.g., RHEL, OpenShift)
- Deep experience with API/webservice design, secure coding standards, and scalable architectural patterns
Preferred Skills:
- Understanding of Federal acquisition and security compliance including FedRAMP and Authority To Operate (ATO) implications across Government Cloud and classified environments
- Experience building an enterprise AI-assisted development capability or platform offering
- Prior experience productizing internal capabilities into customer-facing solutions or services
- Familiar with Cloud-native platforms (AWS, GCP Azure,) and related AI/ML services including experience managing vendor relationships with OEM and ISVs
- Expertise with CI/CD automation, IaC, Policy as Code, and governance automation frameworks (Terraform, Ansible, etc.)
- Ability to translate technical concepts for non-technical stakeholders and influence across senior leadership levels
- Demonstrated ability to stay current with emerging AI, development, and architecture trends, and drive organizational adoption strategies
Location: Remote
The likely salary range for this position is $195,240 - $264,148. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Scheduled Weekly Hours:
40
Travel Required:
Less than 10%
Telecommuting Options:
Remote
Work Location:
Any Location / Remote
Additional Work Locations:
Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.
Our Identity Verification Process:
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.
