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Senior AI Software Engineer

Accenture Federal Services - San Diego, CA

Posted May 18, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Salary
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401(k) match
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Market context

Median wage (BLS OEWS)
$116,543 national median
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

18% above the BLS national median for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

Senior AI Software Engineer San Diego, CA At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! Job Description: We are looking for a Senior AI / Software Platform Engineer to help drive the integration of AI-assisted development workflows into a large-scale enterprise Linux environment. This role is focused on practical AI application within software engineering, including code intelligence, developer tooling, requirements-driven development, and AI-assisted modernization of a large legacy codebase consisting primarily of C/C++ with additional modern languages and frameworks. The ideal candidate is a strong software engineer first, with hands-on experience integrating and operationalizing modern AI/LLM technologies within real-world development environments. Environment: - Large enterprise software platform (~6M+ LOC) - Primarily C/C++ - Red Hat Enterprise Linux environment - GitLab-based development workflows - GPU-enabled internal AI infrastructure - Complex legacy and modern hybrid systems Responsibilities: - Design, develop, and deploy

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