Senior Azure AI Solutions Architect - Engineer

🕒 Novembro 2

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $180.000 - $220.000 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

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GovCIO

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2010

💼 Consultoria

🏛️ Governo

🔒 Cibersegurança

Consulting • Government • Cybersecurity

GovCIO é uma empresa de tecnologia especializada em fornecer soluções digitais e serviços de TI para agências governamentais. Seu foco é transformar as operações do setor público por meio de tecnologia inovadora, aumentando a eficiência e a eficácia dos serviços governamentais.

Descrição

• Lead the architecture, design, development, and implementation of enterprise Generative AI solutions using Microsoft Azure AI. • Design and implement solutions with Microsoft Foundry, Azure OpenAI/model services, Azure AI Search, Azure AI Document Intelligence, and related Azure capabilities. • Architect and implement RAG solutions over structured and unstructured enterprise data. • Develop enterprise search, natural-language question answering, document summarization, information extraction, structured output, and AI-assisted research capabilities. • Design semantic, vector, hybrid, and agentic retrieval approaches. • Develop secure integrations between Azure AI services and enterprise applications, APIs, databases, and document repositories. • Integrate AI functionality through REST APIs, SDKs, Java services, and approved integration patterns. • Evaluate Azure AI Document Intelligence for classification, extraction, confidence scoring, and exception handling. • Design AI agents and orchestration workflows using Microsoft Foundry. • Partner with application, IBM FileNet, and IBM DataCap teams to introduce AI capabilities. • Preserve application-level authorization and ensure AI responses derive only from authorized data. • Implement identity, access management, secrets management, networking, logging, monitoring, and security controls. • Establish AI evaluation and testing frameworks for accuracy, groundedness, hallucination, confidence, latency, performance, and business outcomes. • Develop proofs of concept and MVPs and transition successful capabilities into secure, scalable production implementations. • Translate business processes and pain points into actionable AI solutions. • Evaluate AI technologies and integration approaches and provide recommendations. • Establish reusable architecture patterns, development standards, and technical documentation. • Mentor architects and developers on Azure AI, RAG, LLM integration, prompt engineering, evaluation, and responsible AI. • Transfer knowledge so existing technical teams can maintain and expand AI capabilities.

🎯 Requisitos

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, Artificial Intelligence, Engineering, or a related technical discipline with 12 years (or commensurate experience. • Public Trust clearance. • 8+ years of progressive experience designing, developing, and implementing enterprise software, cloud, or data solutions. • 5+ years of experience in senior engineering, technical architecture, cloud architecture, or comparable solution-design roles. • 3+ years of hands-on experience designing or implementing AI/ML solutions. • 2+ years of recent hands-on experience designing and implementing Generative AI, LLM, and/or RAG-based applications. • Hands-on experience with Microsoft Azure AI, including Microsoft Foundry/Azure AI Foundry and Azure-hosted foundation models. • Experience designing and implementing RAG architectures using enterprise data. • Experience with Azure AI Search or comparable enterprise semantic/vector search technologies. • Understanding of vector embeddings and vector databases/search, semantic and hybrid search, chunking and document-processing strategies, prompt engineering and context management, grounding and citation/source attribution, LLM orchestration, AI evaluation, and hallucination mitigation. • Experience integrating LLMs and AI services with enterprise data sources and applications. • Experience designing and implementing secure REST API and SDK-based integrations. • Experience with Python and/or Java. • Experience with Microsoft Azure architecture, including Entra ID, RBAC, managed identities, Key Vault, networking, storage, monitoring, and logging. • Ability to design solutions involving sensitive or restricted enterprise information with appropriate data isolation and authorization controls. • Experience taking at least one enterprise AI/ML solution from architecture or proof-of-concept through production deployment. • Experience establishing technical architecture while remaining directly involved in hands-on development and troubleshooting. • Ability to communicate complex AI architecture and technical concepts to technical and non-technical stakeholders. • Experience mentoring developers and transferring technical knowledge to engineering teams. • Candidates located in the DC area are highly preferred. • Preferred experience with Azure AI Document Intelligence, enterprise document intelligence/search/knowledge retrieval, IBM FileNet, IBM DataCap, Java enterprise applications, Microsoft Foundry Agent Service, Copilot Studio, Azure DevOps, Git, CI/CD, Infrastructure as Code, DevSecOps, AI evaluation frameworks, citations/source attribution, human-in-the-loop workflows, responsible AI, regulated information, federal government environments, FedRAMP, NIST, FISMA, ATO processes, AI platform evaluation, and IBM watsonx.

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