Applied AI Tech Lead – ACG / AEA

🕒 5 days ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $160k - $170k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Connected Logistics

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2007

🔒 Cybersecurity

🏛️ Government

Cybersecurity • Logistics • Government

Connected Logistics is a Certified Service Disabled Veteran Owned Small Business that provides comprehensive solutions for managing complex supply chains and information networks, particularly within military and government sectors. They specialize in services such as Network Operations & Cybersecurity, Health IT modernization, Cloud Computing, ERP Implementation, and Logistics Operations. With a focus on bridging business processes and information technology, they strive to enhance mission support for armed forces and contribute to efficient operations for the taxpayer.

📋 Description

• Architect end-to-end AI/ML solutions • Define and implement model lifecycle controls • Design secure integration patterns across AWS, Azure, Salesforce, and Azure DevOps • Establish governance aligned to RMF constraints • Define model evaluation frameworks and implement monitoring for model performance • Oversee CI/CD integration for model deployment • Lead root-cause analysis and triage automation architecture • Mentor engineers and direct technical execution

🎯 Requirements

• Minimum 10 years’ experience in AI/ML engineering, data science, or distributed systems development • Master’s degree required in Computer Science, Engineering, Mathematics, or related field • Active Public Trust clearance or higher • CAC issued by another government client in the last 24 months • Deep experience with RAG architectures (embeddings, vector DBs, retrieval optimization) • Strong Python proficiency • Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) • Hands-on experience with cloud-native architectures (AWS and/or Azure) • Experience integrating AI components into CI/CD pipelines

🏖️ Benefits

• Health, dental, vision, life, and disability insurance • 401(k) package • Generous Paid Time Off • Ongoing professional development