About the Role
Our client, a leading enterprise in the digital transformation space, is looking for a visionary AI Solutions Architect to be based in Tlalnepantla, State of Mexico. This critical role involves designing and implementing scalable, secure, and efficient AI-driven solutions for a diverse clientele. You will be the technical authority, guiding project teams from conceptualization through deployment, ensuring alignment with business objectives and technological best practices. We are seeking a candidate with a proven track record in architecting complex AI systems, demonstrating deep technical expertise and strategic thinking. This position offers the chance to work with state-of-the-art technologies and make a tangible impact on our clients' businesses, driving innovation in the field of Artificial Intelligence and Emerging Technologies. If you excel at bridging the gap between business needs and technological capabilities, this is an exceptional opportunity.
Key Responsibilities
- Architect end-to-end AI and machine learning solutions tailored to client requirements.
- Evaluate and recommend appropriate AI technologies, platforms, and tools.
- Lead the design and development of scalable AI infrastructure and data pipelines.
- Collaborate with data scientists, engineers, and business stakeholders to translate needs into technical designs.
- Ensure the security, performance, and cost-effectiveness of deployed AI solutions.
- Provide technical leadership and mentorship to project teams.
- Develop proof-of-concepts and prototypes to validate AI solutions.
- Stay current with emerging AI trends, technologies, and industry best practices.
- Create and present detailed technical architecture documentation.
Requirements
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- At least 7 years of experience in software architecture, with a significant focus on AI/ML solutions.
- Proven experience designing and implementing solutions using cloud AI services (e.g., AWS SageMaker, Azure ML, Google AI Platform).
- Deep understanding of machine learning concepts, algorithms, and frameworks (TensorFlow, PyTorch, etc.).
- Expertise in data modeling, ETL processes, and big data technologies.
- Experience with containerization technologies (Docker, Kubernetes).
- Strong knowledge of software development best practices, CI/CD, and DevOps principles.
- Excellent analytical, problem-solving, and communication skills.
- Ability to effectively communicate complex technical ideas to diverse audiences.
- Experience in defining technical strategy and roadmaps for AI initiatives.
Benefits
- Highly competitive salary package with performance incentives.
- Comprehensive benefits including health, life, and disability insurance.
- Generous opportunities for continuous learning and professional certifications.
- Fully remote work arrangement with flexible hours.
- Collaborative environment with access to cutting-edge technology.
- Significant potential for career growth and leadership opportunities.
- Contribution to impactful AI projects for major clients.
- Regular team-building activities and virtual social events.