AI/ML Delivery Engineer

🕒 Julho 16

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $164.382 - $207.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🤖 Inteligência Artificial

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General Dynamics Information Technology

SiteLinkedInTodas as Vagas

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

• Architect and deliver end-to-end AI/ML and generative AI solutions across data integration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement • Design scalable, secure, and governed AI/ML architectures for enterprise data management, cloud-native services, distributed computing, and high-performance workloads • Develop and deploy production-ready solutions for large language models, intelligent search, workflow automation, model evaluation, monitoring, and optimization • Integrate enterprise AI and cloud services with data platforms, security controls, governance frameworks, and operational processes • Deliver solutions across NLP, computer vision, predictive analytics, intelligent search, multimodal AI, and mission-focused applications • Design secure APIs, integration services, data pipelines, and orchestration workflows • Serve as AI/ML technical authority for cross-functional technical and business teams • Lead architecture reviews, readiness assessments, benchmarking, and infrastructure trade-off analysis • Establish MLOps, LLMOps, and ModelOps practices, including CI/CD, experiment tracking, model registry, testing, deployment promotion, rollback, monitoring, lineage, and cost optimization • Define responsible AI controls for privacy, IAM, key management, audit logging, PHI/PII handling, explainability, model cards, bias/risk assessment, human oversight, and agentic guardrails • Mentor engineers and data scientists and communicate AI concepts through narratives, diagrams, demonstrations, and executive-ready materials • Support solutioning by shaping technical approaches, estimating delivery patterns, and contributing to client responses • Support the NIH mission by delivering secure AI and data solutions for biomedical research, operational efficiency, and data-driven decision-making

🎯 Requisitos

• 10+ years of related experience • Master of Science in Computer Science, Information Technology, Engineering, Mathematics/Statistics, Bioinformatics, Data Science, or equivalent professional experience • Hands-on experience with enterprise data platforms and cloud-native data architectures • Experience with distributed data processing, data governance, machine learning lifecycle management, and batch and streaming data pipelines • Production experience developing, deploying, and supporting AI/ML and generative AI solutions • Experience with intelligent search, LLM applications, workflow automation, model serving, evaluation, monitoring, and continuous improvement • Experience with modern machine learning and deep learning frameworks, libraries, and tools • Experience designing, deploying, and managing AI/ML solutions in major cloud environments • Experience with cloud-native AI services, IAM, networking, security, and infrastructure • Experience working with large, complex, sensitive, or regulated datasets • Experience in data integration, migration, quality management, analytics, visualization, and governance • Excellent written and verbal communication skills • Must be able to obtain a Tier 3 Public Trust • Must be a US Person • Must attend NIH onboarding at applicant’s expense if selected

🏖️ Benefícios

• Growth: AI-powered career tool that identifies career steps and learning opportunities • Support: An internal mobility team focused on helping you achieve your career goals • Comprehensive benefits and wellness packages • 401K with company match • Competitive pay • Paid time off • Full-flex work week • Medical plan options, some with Health Savings Accounts • Dental plan options • Vision plan options • Vacation, sick, personal, holiday, paid parental, military, bereavement, and jury duty leave • 15 days of paid leave per calendar year for new employees, prorated based on hire date • 10 paid holidays per year • 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 • Award-winning culture of innovation • Military-friendly workplace