Forward Deployed Engineer

Forward Deployed Engineer

Join CGI Federal as a Forward Deployed Engineer focused on hands‑on technology implementation. You will work directly with customers to rapidly deploy, configure, customize, and integrate modern solutions, often involving AI/automation, into real operational environments. This client‑facing engineering role requires translating ambiguous needs into workable software, iterating quickly with end users, and driving solutions from prototype to production with strong engineering discipline.

You will collaborate across various delivery teams while embedded with customers, ensuring solutions are scalable, secure, and aligned to mission outcomes. The position is located in Arlington, VA.

• Develop, test, and deploy Foundry data pipelines, transforms, and data products.
• Build and enhance Foundry applications/workflows aligned to user needs.
• Integrate Foundry with external systems via APIs/connectors; support ingestion, modeling, and governance.
• Collaborate with stakeholders to define requirements and translate them into technical designs.
• Troubleshoot, optimize, and monitor performance and data quality.
• Participate in code reviews; document solutions and follow best practices.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
• 3–8+ years delivering software solutions in customer or production environments (implementation, consulting, SRE/Dev Ops, platform engineering, or full‑stack development).
• Strong coding ability in one or more of:
  Python, C#, JavaScript/Type Script (React), SQL; ability to learn new stacks quickly.
• Experience integrating systems via REST APIs, eventing/messaging, and working with structured/unstructured data sources.
• Hands‑on experience deploying and operating applications: environments, configuration, troubleshooting, performance, and reliability.
• Strong customer‑facing communication skills: run technical discovery sessions, explain trade‑offs, and drive alignment across stakeholders.
• Demonstrated ability to work independently in ambiguous situations and deliver iteratively.
• Desired:
  • AI implementation experience: LLM integrations, RAG patterns, vector search, prompt/tool orchestration, model evaluation, and safety/guardrails.
  • Microsoft ecosystem experience:
    Azure, Power Platform (Power Apps/Automate/BI), Dataverse, Microsoft Fabric, or Microsoft 365 integrations.
  • Cloud & platform experience: containers, microservices, CI/CD, IaC (Terraform/Bicep), observability (logging/metrics/tracing).
  • Familiarity with federal/security expectations (e.g., Zero Trust concepts, RBAC, audit logging, secure SDLC).
  • Certifications:
    
    Azure Developer, Azure Solutions Architect, or security‑related certs (a plus).

• Competitive compensation
• Comprehensive insurance options
• Matching contributions through the 401(k) and share purchase plan
• Paid time off for vacation, holidays, and sick time
• Paid parental leave
• Learning opportunities and tuition assistance
• Wellness and well‑being programs

Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation, gender identity, and other legally protected characteristics under applicable law.

CGI provides reasonable accommodations to qualified individuals with disabilities. If you require an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_ All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. CGI will consider qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.

CGI will not discharge or otherwise discriminate against employees or applicants who have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant, except under the circumstances set forth by law.