AI Engineer

🕒 Outubro 22

🏈 Alabama – Remoto

🏈 Alabama – Remote

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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Guidehouse

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 2018

🏥 Saúde

🎖️ Defesa

📦 Logística

💰 Grant em 2023-02

Healthcare • Defense • Logistics

A Guidehouse é uma consultoria global que oferece serviços de consultoria, digitais e gerenciados nos setores comercial e público. Ela é projetada para apoiar indústrias como segurança nacional, serviços financeiros, saúde, energia e infraestrutura. A Guidehouse colabora com líderes para navegar na complexidade e impulsionar mudanças transformacionais que impactam o futuro. Sua expertise abrange análise de dados, tecnologias digitais, gestão de riscos e mais, com forte ênfase em sustentabilidade e inovação.

Descrição

• Implement AI strategy to increase adoption of AI technologies across the client organization • Coordinate with stakeholders to establish an on-premises AI server • Integrate AI capabilities including prompt orchestration, tool/function calling, embeddings, and fine-tuning into applications and services • Collaborate with data scientists, platform engineers, and product teams to iterate on use cases, deliver POCs/MVPs, and harden them for scale • Follow responsible AI practices and security/compliance requirements across commercial and public sector environments • Conduct digital transformation initiatives leveraging AI technologies to improve mission accomplishment and increase operating efficiencies

🎯 Requisitos

• An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance • Bachelor’s degree • EIGHT (8) or more years of professional experience • THREE (3) years of experience in software, data, RAG architecture/vector databases or ML engineering, including building and operating cloud-native services including but not limited to OpenAI, Anthropic, Google Gemini, or AWS Bedrock • TWO (2) years focused specifically on Generative AI/LLM technologies • ONE (1) year optimizing for token efficiency and cost management in production LLM applications, e.g., prompt compression, caching, context window management, and model routing • Ability to write clear documentation and collaborate in cross-functional teams • Experience contributing to client-facing engineering in consulting or product environments • Demonstrated experience deploying and managing on-premises, self-hosted model infrastructure • Experience architecting scalable, hybrid (on-prem + cloud) AI/ML solutions end-to-end, from data pipeline to deployment • Working knowledge of AI security concepts, including adversarial robustness, model access controls, and data protection in restricted environments • Demonstrated expert experience leading development efforts with clear examples of value added to the client • Experience interacting with end-users to understand and document business and functional requirements for complex projects • Experience collaborating with technical teams across the full software development life cycle • Considerable proven knowledge of organizational planning and project management specific to lifecycle development processes • Experience with common data science tools such as R, Python, and MATLAB, with a heavy emphasis on Python

🏖️ Benefícios

• Medical, Rx, Dental & Vision Insurance • Personal and Family Sick Time & Company Paid Holidays • Position may be eligible for a discretionary variable incentive bonus • Parental Leave and Adoption Assistance • 401(k) Retirement Plan • Basic Life & Supplemental Life • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts • Short-Term & Long-Term Disability • Student Loan PayDown • Tuition Reimbursement, Personal Development & Learning Opportunities • Skills Development & Certifications • Employee Referral Program • Corporate Sponsored Events & Community Outreach • Emergency Back-Up Childcare Program • Mobility Stipend • Flexible benefits package

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