Senior AI Solutions Architect
3 days ago
JAGGAER is a leading provider of intelligent Source-to-Pay and Supplier Collaboration Platforms, empowering organizations to manage and automate complex processes while fostering a resilient, responsible, and integrated supplier base.
With 30 years of expertise, our team specializes in solving intricate procurement and supply chain challenges across various industries. Our dedication to excellence has earned us a reputation as a trusted partner for businesses seeking to enhance and transform their operations.
Job OverviewWe are seeking an experienced Senior AI Solutions Architect to lead the development and delivery of AI-powered solutions that support internal business needs and align with organizational objectives.
The ideal candidate will possess a strong background in software development, data science, and AI/ML, with a proven track record of driving innovation and delivering results-driven solutions.
Key Responsibilities- AI Solutions Development: Design, develop, and deploy AI-powered solutions that address complex business problems and drive operational efficiencies.
- Technical Leadership: Provide hands-on technical guidance to a team of data scientists and full-stack developers, ensuring smooth day-to-day operations, code quality, and technical direction.
- Collaboration and Communication: Partner with cross-functional teams to gather and document detailed requirements for AI features, translate business needs into technical requirements, and communicate effectively with stakeholders.
- Leadership Experience: Minimum of 3+ years of experience in a technical management or team lead role overseeing data scientists and developers.
- Technical Expertise: 7+ years of experience in software development with deep knowledge of front-end and back-end technologies, and 3+ years of experience in Data Science-related work with a focus on delivering AI-driven solutions.
- Ai/ML Proficiency: In-depth knowledge of AI/ML algorithms, including statistical models, probabilistic methods, deep learning architectures, and Large Language Models (LLMs).
- Cloud Experience: Practical experience with cloud-based data warehouse technologies such as Snowflake, AWS Redshift, Google BigQuery, or other similar platforms.
A positive, friendly, and international working environment, offering a trust-based flexible working arrangement that fosters a culture of mutual respect, collaboration, and open communication.
We value adaptability, accountability, and kindness, and we strive to create a workplace where everyone feels valued, supported, and empowered to grow and succeed.
Estimated salary: $120,000 - $180,000 per annum, depending on experience.
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