AI Engineer

Job not on LinkedIn

🕒 June 3

🇺🇸 United States – Remote

💵 $161.5k - $218.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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General Dynamics Information Technology

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1954

🔒 Cybersecurity

🤖 Artificial Intelligence

Defense • Cybersecurity • Artificial Intelligence

General Dynamics Information Technology is a company at the forefront of technological innovation, offering a wide range of services including consulting, digital modernization, and application services. The company is heavily involved in implementing solutions related to artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies. GDIT is committed to supporting government and defense sectors, providing mission-critical services such as logistics and supply chain management, intelligence, and homeland security. The company also focuses on diverse and inclusive hiring practices and actively promotes employee well-being. Through its digital accelerator solutions and pioneering use of emerging technologies, GDIT aims to propel agencies' missions forward and address complex technological challenges.

📋 Description

• Design, develop and deploy AI models, algorithms and systems • Architect and implement production-grade multi-agent AI solutions • Build and maintain end-to-end agentic AI pipelines • Develop, test, and deploy internal AI applications • Provide unified observability with logging, metrics, and alerts • Integrate agentic AI services with existing enterprise systems • Collaborate with cross-functional teams to align AI projects with business goals • Stay updated on emerging AI related technologies

🎯 Requirements

• Bachelor’s Degree in Computer Science, Computer Engineering, Data Science or related field • 5+ years of experience in AI and machine learning • Hands-on experience with designing, developing, and deploying AI models and systems • 1+ years of experience developing products or functional prototypes using RAG and agentic AI technologies • Proven track record of delivering end-to-end AI projects • Proficiency in programming languages such as Python, R, or Java • Deep understanding of machine learning frameworks like TensorFlow or PyTorch • Strong hands-on experience with MCP, LangGraph, LlamaIndex, or similar agentic frameworks • Experience with cloud computing platforms, such as Azure, OCI, AWS, or Google Cloud • Strong background in working with large datasets and performing data preprocessing, feature engineering, and model evaluation

🏖️ Benefits

• Comprehensive benefits and wellness packages • 401K with company match • Paid time off including vacation, sick and personal time, holidays, and paid parental leave • Flexible work weeks to own priorities at work and at home • Short and long-term disability benefits • Life, accidental death and dismemberment insurance • Personal accident, critical illness, and business travel insurance