Senior AI Solutions Architect
2 days ago
JAGGAER is a leading provider of intelligent Source-to-Pay and Supplier Collaboration Platform solutions. With 30 years of expertise, we specialize in solving complex procurement and supply chain challenges across various industries.
Our mission is to empower organizations to manage and automate their processes while enabling a highly resilient, responsible, and integrated supplier base.
Job DescriptionWe are seeking an experienced AI Solutions Director to lead our AI-powered solution development team. As a key member of our organization, you will be responsible for delivering innovative AI-driven solutions that align with our business objectives.
Your primary focus will be on leading the development and delivery of AI-powered solutions, providing technical leadership to a team of data scientists and full-stack developers, and promoting the use of AI across different teams to solve business problems and drive operational efficiencies.
You will work closely with internal departments to gather and document detailed requirements for AI features, translate business needs into technical requirements, and establish best practices for the full AI model development lifecycle.
Required Skills and Qualifications- Leadership Experience: Minimum of 3+ years of experience as a technical manager, team lead, or in a similar leadership role overseeing data scientists and developers.
- Technical Experience: 7+ years of experience in software development with deep knowledge of both front-end and back-end technologies, ensuring a comprehensive understanding of web application architecture. 3+ years of experience in Data science-related work with a strong focus on delivering AI-driven solutions.
- AI/ML Proficiency: In-depth knowledge and familiarity with a wide range of AI/ML algorithms, including statistical models, probabilistic methods, deep learning architectures, and Large Language Models (LLMs). Familiarity with Retrieval-Augmented Generation (RAG) architecture is a strong plus.
- Cloud Experience: Practical experience with cloud-based data warehouse technologies such as Snowflake, AWS Redshift, Google BigQuery, or other similar platforms.
- Technical Tools & Frameworks: Proficiency in programming languages such as Python, Java, or similar. Experience with machine learning libraries (e.g., TensorFlow, PyTorch), MLOps tools, version control (e.g., Git), and CI/CD pipelines.
We offer a positive, friendly, and international working environment, a trust-based flexible working environment, and a competitive salary ranging from $120,000 to $180,000 per year, depending on experience.
In addition, you will have the opportunity to work with a talented team of professionals, participate in continuous learning and development opportunities, and contribute to the growth and success of our organization.
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