Please do not apply if you are not an AI Developer • Azure Data and AI Stack must be listed in the resume • Must have recent experience with Azure (must be currently using Azure or used it within 6 months) • Must have Python experience (this person will be writing Scripts Python) • Must have a good personality and be business savvy, because this person will be working with the business unit, talking on calls, and setting up meetings with stakeholders • Must have RBA experience (Robotic Process Automation) • Must have at least 1 Business Process Management Solutions Tool (google this and you will find a variety of tools to choose from) • Must have at least 1 Workflow Management Tool (google this and you will find a number of tools to choose from) • For the most part, 60% of the work involves Machine Learning and 40% is non Machine Learning Job Summary Design and implement effective AI solution architecture or strategy, utilizing approaches of various AI technologies and methods to address business problems and needs, while complying with company's strategies, business goals, and key ethical considerations. Apply advanced theories, principles and concepts and contribute to development of new principles and concepts. Lead development of solutions to highly complex problems. Work with wide latitude for unreviewed action or decision. Assume responsibility for supervision and development of first level supervisors and managers. Essential Duties & Responsibilities • Work with business stakeholders and domain experts to understand the requirements and challenges of the industry and propose AI/ML solutions that meet their needs. • Research and stay updated on the latest trends and developments in AI/ML and how they can help our target markets. • Stay current with industry trends, emerging technologies, and best practices in AI/ML engineering. • Design, develop, and deploy innovative AI/ML solutions using Azure cloud services and tools. • Apply AI/ML techniques to help with automation, decision making, generative AI, and process improvement and to help optimize the performance, reliability, and efficiency of electrical systems, their design, and their operation. • Collaborate with business stakeholders and software developers to integrate AI/ML models and APIs into existing or new applications and platforms. • Evaluate and test the quality, accuracy, and scalability of AI/ML solutions and ensure they adhere to best practices and standards. • Help define, monitor, and improve the processes, procedures, and efficiency of Azure machine learning environment(s) • Participate as a key member in our application portfolio management plan with a specific focus on where we can utilize AI/ML to the benefit of our business colleagues. • Mentor junior team members to help them develop skills in AI/ML. • Contribute to project planning, estimation, scheduling, and risk management efforts related to AI/ML solutions. Experience 5+ years of experience in developing and deploying AI/ML solutions using Azure cloud services (Azure AI, Azure ML, Cognitive Services, Document Intelligence, etc) and/or similar tools is required. 10 years or more years of relevant, progressive experience preferred. Experience working in the Engineering and Consulting (E&C) industry or similar industry in an IT related role is preferred. Education A bachelor's degree or higher in computer science, engineering, mathematics, or a related field is required. Minimum Qualifications, Skills and Abilities To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Proficiency in either Python or .NET programming languages and frameworks. • Experience in using LLMs (large language models) for natural language processing or generative AI tasks. • Experience in creating data models and exposing them as APIs for consumption in other applications. • Strong verbal and written communication skills. • Good problem-solving skills and initiative to take ownership of tasks. • Ability to work effectively within a geographically distributed team. • Strong work ethic and attention to detail.