Lead AI Architect

🕒 Ontem

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $140.000 - $210.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

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Infinitive

SiteLinkedInTodas as Vagas

51 - 200 funcionários

💼 Consultoria

📣 Marketing

🔒 Cibersegurança

Consulting • Marketing • Cybersecurity

A Infinitive é uma consultoria de transformação e tecnologia. Ajudamos marcas globais a alcançarem resultados impressionantes por meio de insights, inovação e eficiência. Possuímos profunda expertise em indústria e tecnologia para impulsionar e manter a adoção de novas capacidades. Alinhamos nossos profissionais e personalidades com a cultura de nossos clientes, trazendo a combinação certa de talentos e habilidades para garantir um alto retorno sobre o investimento.

Descrição

• Design, build, and continuously refine Infinitive’s enterprise AI Factory ecosystem • Enable rapid legacy-to-modern code conversions and automated data engineering workflows • Formulate system prompts, structured project instructions, rule sets, and operational guardrails for Claude Code and related AI coding agents • Develop, standardize, and maintain modular conversion templates for technical archetypes • Architect automated validation frameworks and reconciliation test harnesses to verify data integrity, schema consistency, and business logic parity • Integrate static analysis, linters, and architectural pattern-checking pipelines into enterprise CI/CD workflows • Write production-grade Python, PySpark, and advanced SQL for data pipelines, lakehouse architectures, and distributed computing tasks • Design and tune Databricks lakehouse solutions for performance, security, and cost efficiency • Establish policies, risk controls, and quality gates for code synthesis, data security, intellectual property safety, and prompt governance • Define, track, and report metrics for engineering acceleration, developer velocity, cycle time reductions, defect rates, and ROI • Mentor technical leads, data engineers, and consulting delivery teams adopting AI-assisted development tools

🎯 Requisitos

• Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related technical discipline • Databricks Certified certification strongly preferred (Databricks Certified Data Engineer Professional, Solutions Architect, or Machine Learning Professional) • 7+ years of progressive experience in data architecture, software engineering, or technical delivery • At least 2+ years architecting or scaling modern AI/LLM-assisted engineering workflows • Expert proficiency in Python, PySpark, and SQL • Deep hands-on experience structuring repository instructions, system prompts, guardrails, and context windows for developer tools like Claude Code, GitHub Copilot, or similar agentic coding environments • Proven track record designing scalable architectures on Databricks alongside AWS or Azure environments • Strong background designing CI/CD pipelines with automated testing, linting, and data reconciliation suites • Experience with GitHub Actions, GitLab CI, or Azure DevOps • Exceptional communication skills and ability to articulate AI governance frameworks, architectural patterns, and productivity impact metrics to executive stakeholders and technical teams • Preferred: experience architecting migration pipelines converting legacy data platforms such as Netezza, Teradata, Oracle, Informatica, or SSIS to Databricks Lakehouse • Preferred: working knowledge of FinOps principles and token/compute cost attribution for large-scale AI workloads • Must be legally authorized to work in the US for any employer • Must be eligible to be hired by Infinitive as a full-time employee without requiring Infinitive visa sponsorship at any time during employment

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