Chief AI Strategist

Há 4 dias

São José dos Campos, São Paulo, Brasil beBeeAIEngineering Tempo inteiro US$200.000 - US$250.000
Job Summary

We are seeking an experienced AI Engineering Leader to spearhead the development of cutting-edge AI solutions across Latin America.

This strategic role will drive innovation through emerging technologies such as generative AI and Agentic.AI, while ensuring scalable, secure, and compliant solutions.

Key Responsibilities:
  • Leadership & Strategy
    • Define and execute the strategic roadmap for AI-driven solutions and intelligent automation engineering across LATAM.
    • Collaborate with business technology leaders to shape future demand and prioritize investments aligned with regional and global objectives.
    • Champion a culture of innovation, technical excellence, and continuous improvement across multidisciplinary engineering teams.
    • Represent the organization in internal and external forums to showcase thought leadership and stay ahead of emerging trends.
  • Architecture & Engineering Delivery
    • Lead the design and implementation of enterprise-grade AI/IA solutions that are scalable, secure, and compliant.
    • Design reusable frameworks, reference architectures, and components to accelerate solution delivery.
    • Oversee the integration of emerging technologies across data platforms, full-stack development, and automation domains.
    • Ensure solutions meet functional and non-functional requirements, including performance, reliability, and audit readiness.
  • Technical Mentorship & Capability Building
    • Act as a technical authority and mentor for engineering teams across the region.
    • Lead a team of principal engineers and subject matter experts across multiple technology domains.
    • Provide architectural oversight throughout the solution lifecycle—from ideation to deployment.
    • Foster continuous learning and technical depth through coaching, training, and knowledge sharing.
  • Innovation & Emerging Technology Enablement
    • Lead the design of initiatives involving generative AI, Agentic.AI, ML/data platforms, and third-party integrations, in support of product lead engineers.
    • Drive teams to evaluate and pilot emerging technologies to deliver measurable business value.
    • Ensure operational stability, compliance, and audit readiness of AI/IA solutions.
Requirements
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or related field; Master's degree preferred.
  • 15+ years of experience in IT, including 10+ years in architecture and engineering leadership roles.
  • Experience designing modern application architectures with embedded AI components.
  • Full-stack experience in front-end technologies (e.g., React), back-end development (e.g., Node.js, Python), databases, and cloud infrastructure.
  • Modern Engineering Practices: DevOps, CI/CD, containerization (Docker, Kubernetes), microservices.
  • Experience with LLMs and frameworks like LangChain, LangFlow, CrewAI, LangGraph, AutoGen, etc.
  • Experience with MLOps pipelines to operationalize machine learning models at scale, including automated model training, deployment, monitoring, and governance across cloud-native environments is highly desirable.
  • Professional certification such as TOGAF, AWS Solutions Architect, or Azure Solutions Architect Expert is desirable.
  • Strong communication and stakeholder management skills, with the ability to influence across technical and non-technical audiences.
  • Demonstrated ability to guide product roadmaps, integrate emerging technologies, and align IT strategy with business goals.
  • Commitment to diversity, inclusion, and fostering a collaborative, high-performance work environment.

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