AI Engineer

and the job listing Expires on July 24, 2026 Description of the Role and Key Responsibilities The AI Developer supports the design, development, and implementation of AI-driven solutions that address business problems and enable data-driven decision-making. The role combines hands‑on technical work with analytical thinking and client‑focused solutioning, performed under the guidance of senior AI consultants and architects. Writing code (predominantly in Python, R, Java, or C++) to implement AI algorithms. Integrating AI models into existing software applications and deploying them to production environments, such as cloud platforms including AWS and Azure. Testing, troubleshooting, and tuning algorithms to enhance performance, accuracy, and efficiency. Working with data scientists, software engineers, and stakeholders to translate business needs into technical solutions. Assisting in analyzing business requirements and translating them into AI-based technical solutions. Developing and enhancing AI applications using Python and Java, with a focus on scalable and maintainable design. Performing data analysis, data cleansing, and exploratory analysis to support AI/ML use cases. Supporting the development and testing of AI models, prompts, and workflows. Adhering to organizational standards, security practices, and responsible AI guidelines. Qualification and Specialization Master’s Degree (preferred) in Engineering, Computer Science, Data Science, AI, or a related discipline. Specialization / Skill Set High proficiency in Python (essential), along with Java, C++, or R. Strong understanding of Machine Learning (supervised/unsupervised), Deep Learning, Neural Networks, Natural Language Processing (NLP), and Computer Vision. Familiarity with AWS, Google Cloud AI, or Microsoft Azure for deployment, along with Docker and Kubernetes. Proficiency in Git and GitHub. Unique Experience from This Role Exposure to AI solution development, working at the intersection of technology and business. Hands‑on experience with OpenAI and generative AI technologies in enterprise use cases. Opportunity to work on real client problems in regulated domains such as healthcare. Experience in data‑driven storytelling, insights generation, and solution recommendation. Practical understanding of responsible AI, governance, and ethical AI practices. Mentorship from experienced AI consultants and architects. Learning Outcomes for the Role By the end of the role, the AI Developer will: Understand how to analyze business problems and map them to AI solutions. Gain practical experience in Python-based AI development and OpenAI integrations. Learn to perform effective data analysis and insight generation. Develop foundational consulting skills such as requirement analysis, documentation, and stakeholder communication. Build awareness of the AI solution lifecycle—from ideation to deployment. Be prepared to transition into roles such as AI Consultant, Associate AI Engineer, or Generative AI Specialist. #J-18808-Ljbffr University of Denver