AI/ML Technical Architect – Lead

🕒 Agosto 19

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $204.000 - $276.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔙 Engenheiro Backend

🦅 Patrocina Visto H1B

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👻 Score fantasma 6%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of General Dynamics Information Technology

General Dynamics Information Technology

10.000+ funcionários

Fundada em 1954

💼 Consultoria

🏥 Saúde

📦 Logística

Consulting • Healthcare • Logistics

A General Dynamics Information Technology é uma empresa na vanguarda da inovação tecnológica, oferecendo uma ampla gama de serviços, incluindo consultoria, modernização digital e serviços de aplicações. A empresa atua fortemente na implementação de soluções relacionadas a Inteligência Artificial (IA), Cloud Computing, Cybersecurity, High-Performance Computing (HPC) e tecnologias quânticas. A GDIT é comprometida em apoiar os setores governamental e de defesa, fornecendo serviços críticos para a missão, como logística e gestão da cadeia de suprimentos, inteligência e segurança interna. A empresa também prioriza práticas de contratação diversas e inclusivas e promove ativamente o bem-estar dos colaboradores. Por meio de suas soluções de aceleração digital e do uso pioneiro de tecnologias emergentes, a GDIT busca impulsionar as missões das agências e enfrentar desafios tecnológicos complexos.

Descrição

• Serve as technical lead for AI/ML strategy, architecture, and implementation across the program • Design and deploy scalable AI/ML models supporting the CMS mission • Lead predictive analytics, automation frameworks, and intelligent decision-support systems • Integrate AI solutions into secure enterprise and tactical environments • Ensure compliance with CMS cybersecurity and data governance standards • Oversee data engineering pipelines and model lifecycle management (MLOps) • Develop and maintain model validation, explainability, and bias mitigation practices • Advise program leadership and stakeholders on emerging AI technologies and mission applications • Transition experimental or prototype AI capabilities into operational production systems • Integrate security, ethical, and data governance requirements into AI development workflows • Assess AI security threats and produce ATO, configuration management, and incident response documentation • Coordinate with ISSOs, business owners, and stakeholders on secure AI solutions, audits, interviews, and governance reviews • Lead security governance processes for continuous compliance • Mentor junior engineers and provide technical leadership across cross-functional teams

🎯 Requisitos

• Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field required; Master's or PhD preferred • 10+ years of progressive experience in AI/ML, data science, software engineering, or related advanced analytics disciplines • Hands-on experience developing AI/ML solutions • 5+ years of hands-on experience designing, developing, and deploying AI/ML solutions in production environments • Proficiency in Python, R, and/or Java • Deep understanding of TensorFlow or PyTorch, preferably implemented within AWS SageMaker • Experience integrating AI/ML capabilities into secure enterprise environments • Experience with cybersecurity, data governance, and compliance requirements • Experience developing AI products or prototypes using Retrieval-Augmented Generation (RAG) and agentic AI technologies • Experience with AWS, Azure, or Google Cloud; AWS preferred • Experience using AWS Bedrock, Azure AI Foundry, or Google Vertex AI • Experience implementing AI solutions in secure, restricted, or regulated environments • Must be able to obtain Public Trust clearance • Must have lived in the United States at least three of the last five years • No work visa sponsorship provided • Agentforce implementation experience preferred • Experience supporting enterprise-scale Salesforce Solutions preferred • Familiarity with AI governance and modernization initiatives preferred • Experience supporting U.S. Federal Agencies, preferably CMS, preferred • Experience with AWS GovCloud or Azure Government preferred • Knowledge of Zero Trust architectures preferred

🏖️ Benefícios

• Comprehensive medical plan options, some with Health Savings Accounts • Dental plan options • Vision plan options • 401(k) plan with company match • Full-flex work weeks where possible • Paid vacation, sick, and personal time • Paid holidays • Paid parental, military, bereavement, and jury duty leave • Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees • Short- and long-term disability benefits • Life insurance • Accidental death and dismemberment insurance • Personal accident insurance • Critical illness insurance • Business travel and accident insurance • AI-powered career tool identifying career steps and learning opportunities • Internal mobility team • Growth and professional development opportunities • Award-winning culture of innovation • Military-friendly workplace

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