Senior AI Solutions Engineer, Checkr

• Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience. A graduate degree is a plus
• Engineering Leadership Experience: 5+ years of experience in engineering roles with a focus on building and deploying AI technologies that drive productivity
• AI Expertise: 3+ years of hands-on experience developing AI-infused products, including machine learning, generative AI, deep learning, and statistical modeling techniques
• Technical Proficiency: Strong programming skills in languages such as Python; experience with AI frameworks like TensorFlow, PyTorch, or similar tools
• Analytical Mindset: Exceptional ability to tackle open-ended problems in unstructured environments, synthesizing complex data into actionable insights
• Collaborative Approach: Proven track record of working effectively within cross-functional teams, with strong interpersonal and communication skills
• Adaptability: Flexible and introspective, with a willingness to learn, teach, lead, and follow as situations require
• Passion for Innovation: A deep interest in leveraging AI to transform internal processes and enhance employee productivity

Desirable

• Join the IT Engineering team as an AI Solutions Engineer, where you'll play a vital role in enhancing employee productivity across all departments at Checkr
• In this role, you will leverage cutting-edge AI technologies—including Large Language Models and Retrieval Augmented Generation—to develop and deploy AI-driven solutions that address complex internal challenges
• Collaborating closely with a diverse set of internal stakeholders, you'll have the opportunity to shape technological strategies that directly impact our mission to build the safe and fair data platform of the future
• Engage with Internal Teams: Collaborate with internal stakeholders across various departments to understand their workflows, identify pain points, and uncover opportunities where AI can enhance productivity and efficiency
• Develop AI Solutions: Design, develop, and deploy bespoke AI solutions tailored to meet the specific needs of internal teams, improving processes and decision-making capabilities
• Cross-Functional Collaboration: Work closely with Engineers, Product Designers, and other AI Solutions Engineers to integrate AI technologies into existing systems and workflows
• Iterate and Improve: Collect feedback from internal users to iterate on AI solutions, ensuring they continue to meet evolving needs and drive concrete impact within the organization
• Training and Enablement: Lead training sessions and workshops to empower internal teams with the knowledge and tools to effectively utilize AI solutions
• Strategic Planning: Contribute to the shaping of AI strategies and roadmaps aligned with organizational goals, ensuring that AI initiatives deliver maximum value
• Stay Current with AI Trends: Continuously research and stay informed about the latest advancements in AI to incorporate relevant innovations into internal solutions
• Communicate Insights: Present findings, progress updates, and future proposals to internal stakeholders, ranging from team members to executive leadership