Artificial Intelligence Developer

Position Purpose:

The Artificial Intelligence (AI) Developer designs, develops, and implements scalable AI and machine learning (ML) solutions that improve business operations, decision-making, and digital capabilities. Working closely with Information Technology (IT), data, and business stakeholders, this role translates business needs into production-ready solutions while ensuring alignment with enterprise architecture, data governance, cybersecurity standards, and continuous innovation.

Essential Functions:

• Design, build, fine‑tune, test, deploy, and maintain scalable AI, ML models, and solutions using modern AI services, algorithms, neural networks, GenAI, Agentic AI, and deep learning architectures.
• Conduct research, experimentation, and testing to develop predictive models and innovative AI solutions that enhance business capabilities and operational efficiency.
• Develop and manage data pipelines, datasets, and model training workflows, ensuring high‑quality data for training, validation, and evaluation.
• Leverage big data computation and storage tools to create prototypes and handle large volumes of structured and unstructured data efficiently.
• Integrate AI solutions into existing applications, web services, and business workflows, ensuring smooth deployment, scalability, and performance, particularly within Azure cloud environments.
• Collaborate closely with cross‑functional teams, including IT, data, and business stakeholders, to identify needs, access and prepare datasets, and translate requirements into production‑ready AI solutions.
• Continuously monitor, evaluate, and optimize model and system performance to achieve optimal accuracy, reliability, and efficiency.
• Ensure AI systems align with enterprise architecture standards, data governance policies, cybersecurity requirements, and responsible AI practices.
• Provide technical support for business‑critical situations, assist with reporting and analysis, and troubleshoot issues related to AI systems and applications.
• Document AI models, systems, development processes, and workflows, and prepare technical documentation or training materials as needed.
• Stay current with advancements in AI, ML, and cloud technologies, applying new techniques and best practices to drive continuous improvement.
• Perform other related duties as assigned.

Education and Training

• A bachelor’s degree in a computer science, IT, or related field is required.
• A master’s degree in computer science, IT, or a related field is a plus.
• Education, training, or hands-on experience in ML, deep learning, neural networks, and predictive modeling is required.
• Strong training or experience in programming languages is essential.
• Training or education with cloud platforms, preferably Microsoft Azure, is necessary.
• Related professional certifications such as, but not limited to Azure AI Engineer, Azure Data Scientist, or other AI/ML certifications are a plus.

Minimum Qualifications

• A minimum of 7 years’ experience in a software-related field.
• A minimum of 2 year’s experience in an AI development related role.
• Demonstrated experience with artificial intelligence and machine learning concepts, including development training, evaluation, and deployment.
• Experience with statistics, predictive analytics, data science, and reporting, including applying analytical techniques to real‑world business problems.
• Proficiency in programming and scripting, including experience with languages commonly used in AI and software development such as, but not limited to, Python.
• Experience with data collection, cleaning, preprocessing, manipulation, and pipeline management for structured and unstructured datasets.
• Familiarity with web development concepts, Application Programming Interfaces (APIs), or system integrations supporting AI or data‑driven applications.
• Foundational experience with cloud platforms, especially Microsoft Azure, and familiarity with deploying or supporting applications or services.
• Strong analytical, mathematical, and problem‑solving skills, with the ability to troubleshoot complex technical issues.
• Understanding of the software development lifecycle (SDLC), version control, testing, and documentation practices.
• Ability to work independently, manage multiple priorities, and meet deadlines in a fast‑paced environment.
• Strong verbal, written, and interpersonal communication skills, with the ability to work effectively with cross‑functional teams and stakeholders at all organizational levels.
• Ability to communicate project status clearly, identify risks or issues, and escalate concerns appropriately.
• Prior experience in a manufacturing environment, particularly within the commercial automotive industry, is desirable but not required.