Publicado hace 2 días.
AI Architect Go Senior - Remoto en Crossbridge
Sueldo oculto
Remoto: Chile, México, Argentina, Colombia, Costa Rica, Dominican Republic, Ecuador, El Salvador, Paraguay, Peru, Uruguay
Empleado de tiempo completo
Inglés : Nivel Avanzado
Job Details and Responsibilities:
We are seeking a hands-on AI Architect to join our growing AI team. Being a hands-on role, you will be comfortable writing production code and building AI models/services. The role combines deep technical expertise in AI/ML with the ability to engage clients, shape solutions, and guide cross-functional teams from ideation to implementation. As an AI Architect, you will play a pivotal role in designing robust, scalable AI systems tailored to the unique needs of our customers.
Responsibilities:
Client Engagement & Solution Design -
• Collaborate with clients to understand business challenges and identify AI
opportunities.
• Lead AI discovery and architecture workshops.
• Translate business requirements into scalable AI solutions and technical roadmaps.
AI Architecture & Strategy -
• Design end-to-end AI systems, including data pipelines, model development,
MLOps, and deployment architectures.
• Define AI architecture best practices and standards.
• Evaluate and recommend tools, platforms, and frameworks for AI solutions.
Thought Leadership & Innovation -
• Stay current with advancements in AI and emerging technologies.
• Contribute to internal knowledge sharing, reusable assets, and accelerators.
• Support business development with technical expertise, proposal input, and client
demos.
Evaluation and Optimization -
• Continuously assess the performance of AI systems, optimizing algorithms and
models to improve accuracy and efficiency
Qualifications
Technical Skills:
- 10+ years of overall experience in software/IT.
- 5+ years working with AI/ML frameworks (TensorFlow, PyTorch, etc.).
- 3+ years designing end-to-end AI/MLOps architectures and leading projects.
- Expertise in Golang and its application in AI development.
- Proficiency in data structures, algorithms, and optimization techniques .
- Experience with cloud platforms like AWS, Azure, or Google Cloud.
- Familiarity with containerization technologies such as Docker and Kubernetes.
- Understanding of SAP data models and business processes (desirable)
Selected applicant will be subject to a background investigation, which will be conducted, and the results of which will be used in compliance with applicable law.