AI Data Architect (Onsite)

Netsmart Technologies - Overland Park, KS

Full-time - Senior

Overland Park, KS

Professional, Scientific, and Technical Services

About the position

As an AI Software Architect at NetSmart Technologies, you will be instrumental in designing, implementing, and optimizing advanced AI systems. This role involves close collaboration with cross-functional teams to create scalable and robust solutions tailored to meet client needs. You will lead the development of AI-driven products and contribute to technological innovation within the company.

Responsibilities

• Lead the architecture design of AI-powered software applications, ensuring scalability, reliability, and performance.
• Collaborate with product managers, data scientists, and software engineers to understand requirements and translate them into technical designs.
• Develop architectural guidelines, best practices, and standards for AI development projects.
• Evaluate and integrate third-party AI technologies, frameworks, and tools to enhance our products.
• Provide technical leadership and mentorship to junior team members, fostering a culture of learning and innovation.
• Stay updated on the latest advancements in AI research, algorithms, and methodologies to drive continuous improvement.

Requirements

• Bachelor's degree in Computer Science, Engineering or equivalent relevant experience
• Proven experience as a Software Architect, with a focus on AI/ML technologies.
• Strong expertise in designing and implementing AI systems, including machine learning models, natural language processing, computer vision, etc.
• Proficiency in programming languages such as Python, Java, or C++; familiarity with AI frameworks like TensorFlow, PyTorch, or scikit-learn.
• Solid understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience with deploying AI applications at scale.
• Excellent problem-solving skills and the ability to communicate complex technical concepts effectively.
• Demonstrated leadership abilities with a track record of successfully leading and mentoring teams.

Nice-to-haves

• Experience with DevOps practices and tools for CI/CD, automated testing, and deployment automation.
• Knowledge of software design patterns, microservices architecture, and containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with big data technologies (e.g., Hadoop, Spark) and distributed computing principles.
• Contributions to open-source AI projects or publications in relevant conferences/journals.

Benefits

• Equal employment and advancement opportunities
• Diversity and inclusion initiatives
• Healthy and safe workplace commitment
• Drug-free workplace policy