AI Solutions Architect

About the Role

Key Responsibilities

• Design and implement AI solutions using Microsoft AI technologies, including Azure AI, Azure Machine Learning, and Cognitive Services.
• Collaborate with data scientists, engineers, and business stakeholders to define project requirements and develop technical solutions that meet business needs.
• Develop and maintain AI models, algorithms, and frameworks to support various business applications.
• Ensure the scalability, reliability, and performance of AI solutions by implementing best practices and leveraging Microsoft AI tools and services.
• Provide technical guidance and mentorship to team members, fostering a culture of continuous learning and innovation.
• Stay up-to-date with the latest advancements in AI and machine learning, and evaluate their potential impact on our business.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• 5+ years of experience in AI and machine learning, with a focus on designing and implementing AI solutions.
• Strong proficiency in AI technologies, including machine learning frameworks and tools.
• Experience with programming languages such as Python, R, and SQL.
• Excellent problem-solving skills and the ability to think critically and creatively.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Knowledge of best practices in AI model development, deployment, and monitoring.

Nice to Have

• Experience working with US Federal Government agencies or similar environments, with an understanding of their unique requirements.
• Familiarity with data privacy and security regulations, particularly in the context of AI applications.
• Strong communication and interpersonal skills, with the ability to convey technical concepts to diverse audiences.
• Experience in mentoring and guiding technical teams, fostering a collaborative and innovative work environment.
• Knowledge of emerging AI technologies and trends, with a passion for continuous learning and development.

Qualifications

• Educational background in Computer Science, Data Science, Engineering, or related fields (Bachelor's or Master's degree).

Benefits & Perks

• Competitive compensation
• Comprehensive insurance options
• Matching contributions through the 401(k) plan and the share purchase plan
• Paid time off for vacation, holidays, and sick time
• Paid parental leave
• Learning opportunities and tuition assistance
• Wellness and Well-being programs