AI Innovations Lead

Há 3 dias

HOME OFFICE, Brasil beBeeAI Tempo inteiro R$132.800 - R$221.600

At Icon Solutions, we're on a mission to help businesses find the best technology talent for their needs. Our team is committed to understanding your career aspirations and helping you achieve your goals.

We offer personalized career guidance, exclusive resources, and ongoing career support. Whether you're looking for a new opportunity or seeking to advance your career, we're here to assist.

As a Senior Solutions Architect, you'll work closely with clients to design and deliver cutting-edge AI and Machine Learning solutions. This involves leveraging state-of-the-art technologies like Large Language Models, Computer Vision, Recommender Systems, and Generative AI.

Main Responsibilities:

  • Collaborate with sales teams to assess client needs and create tailored technical solutions.
  • Develop solution architectures that align with client goals and existing infrastructure.
  • Engage with clients to deliver comprehensive AI deployment strategies and handle complex technical challenges.
  • Recommend new offerings and collaborate with the product team to enhance our portfolio.
  • Maintain a strong feedback loop with engineering to ensure technical soundness and scalability.
  • Evaluate emerging technologies for potential integration and recommend best practices.
  • Advocate for responsible AI innovation, ensuring solutions uphold key principles.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related fields.
  • 7+ years of experience in AI/ML solutions, software engineering, or related fields.
  • Proficiency in deep learning frameworks (e.g., TensorFlow, PyTorch) and AI development.
  • Expertise in at least one modern programming language, such as Python, Go, C++, Bash, etc.
  • Extensive expertise in cloud platforms like AWS, Azure, or GCP.
  • Experience with DevOps frameworks such as Docker, Kubernetes, and CI/CD pipelines.
  • Working knowledge of data visualization tools like Tableau and data warehousing solutions like Snowflake.
  • Strong communication skills, able to collaborate effectively with technical and non-technical stakeholders.
  • Knowledge of databases (SQL, NoSQL) and distributed system technologies.
  • Experience designing data architectures and integrating AI solutions at scale.
  • Working knowledge of vector databases and LLM customization.
  • Demonstrated experience in enterprise AI deployments, including DataOps and MLOps.

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