AI Solutions Architect

About

Our client, a forward-thinking technology firm at the forefront of AI and emerging technologies, is seeking a highly skilled AI Solutions Architect to join their innovative team. This role is crucial in designing, developing, and implementing advanced artificial intelligence solutions that address complex business challenges for our diverse clientele. You will be responsible for translating client needs into robust and scalable AI architectures, guiding development teams, and ensuring the successful deployment of AI-powered applications. This position requires a deep understanding of machine learning, deep learning, data science, and cloud computing platforms.

Responsibilities

• Collaborate with clients and stakeholders to understand business requirements and identify opportunities for AI-driven solutions.
• Design end-to-end AI and machine learning architectures, encompassing data ingestion, preprocessing, model training, deployment, and monitoring.
• Evaluate and recommend appropriate AI/ML frameworks, libraries, and tools based on project needs and technical feasibility.
• Provide technical leadership and guidance to data scientists, ML engineers, and software developers throughout the project lifecycle.
• Develop proofs-of-concept and build prototypes to demonstrate the viability of AI solutions.
• Ensure AI solutions are scalable, reliable, secure, and performant on cloud platforms (e.g., AWS, Azure, GCP).
• Stay current with the latest advancements in AI, machine learning, and related technologies, and identify opportunities to leverage them.
• Develop technical documentation, including architecture diagrams, design specifications, and deployment guides.
• Present AI solutions and strategies to technical and non-technical audiences.
• Contribute to the development of best practices and standards for AI development and deployment within the organization.
• Manage project timelines and resources in coordination with project managers.

Qualifications

• Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
• Minimum of 8 years of experience in software engineering, with at least 5 years focused on AI, machine learning, or data science.
• Proven experience designing and architecting complex AI/ML solutions in production environments.
• Deep understanding of various machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and natural language processing techniques.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Proficiency in programming languages such as Python, R, or Java.
• Strong understanding of data engineering principles, databases, and big data technologies.
• Excellent analytical, problem-solving, and strategic thinking skills.
• Strong communication and interpersonal skills, with the ability to effectively articulate technical concepts to diverse audiences.
• Experience with MLOps practices and tools is highly desirable.
• Ability to lead and mentor technical teams.

Join a team that is pushing the boundaries of what's possible with artificial intelligence.