Description

Responsibilities include:

• Architects and leads the development of AI-driven platforms and scalable software systems aligned with strategic business goals.
• Collaborates cross-functionally with engineering, product, and business teams to define use cases and deliver impactful solutions.
• Evaluates and selects AI and software technologies, frameworks, and tools for optimal performance, scalability, and maintainability.
• Establishes and promotes best practices in AI model development, MLOps, software engineering, DevOps, and system architecture.
• Mentors engineering teams, fostering a culture of innovation, excellence, and continuous improvement.
• Drives technical strategy and long-term planning, aligning engineering efforts with enterprise objectives.
• Ensures compliance with data privacy, security, and ethical standards in all AI and software initiatives.
• Champions engineering excellence through code reviews, automated testing, CI/CD, and agile methodologies.
• Other duties as needed or assigned.

Required Qualifications:

• Bachelor’s degree in the field of computer science, information systems, or computer engineering or equivalent experience.
• 7+ years of experience in software architecture and engineering, with at least 2 years focused on AI/ML systems.
• 5+ years of hands-on experience with application development tools, including Visual Studio .NET.
• 5+ years of hands-on experience with relational database technology, preferably MS SQL Server.
• Hands-on experience driving innovation through emerging technologies and methodologies.
• Excellent communication skills and leadership skills with a track record of mentoring and influencing teams.
• Proven experience designing and deploying AI/ML and software solutions at scale in cloud environments such as Azure, AWS, GCP.
• Expertise in machine learning, deep learning NLP, computer vision, and generative AI

Key Skills

Education

Bachelor's degree