Senior Artificial Intelligence DevOps Engineer

Overview

We are in search of a seasoned Senior AI Developer with a specialization in Azure AI Studio, Azure Open AI, Microsoft Copilots, AI and ML methodologies, and AWS Bedrock. In this role, you will be the guiding force behind our AI initiatives, providing expertise and leadership to all users across the organization who have AI use cases. Your focus will be on architecting, developing, and implementing advanced AI solutions while ensuring alignment with best practices and business objectives.

Responsibilities

• Implement and optimize AI algorithms and models.
• Collaborate with cross-functional teams to understand business requirements and design effective AI solutions.
• Integrate AI technologies, such as Cognitive Services, into our platform.
• Stay up to date with the latest advancements in AI and ML and propose innovative solutions.
• Ensure the scalability, reliability, and performance of the AI platform.
• Execute AI engineering projects aligned with established goals, timelines, and quality standards.
• Collaborate with cross-functional teams to gather and analyze requirements for AI and software development projects.
• Design, develop, and maintain AI-powered applications, ensuring adherence to coding standards and best practices.
• Utilize Power Apps, Power Automate, AI Builder, and Azure AI Studio to create innovative and efficient solutions.
• Coordinate development, testing, and deployment activities for assigned AI solutions and enhancements.
• Develop and maintain APIs, integrations, and connectors to enhance system functionalities. Perform and review all the DevOps activity in different cloud platforms, Azure, AWS, OCI and GCP.
• Support implementation of governance, data sensitivity, security, and operational requirements based on established policies.
• Conduct thorough testing, debugging, and performance optimization to ensure quality and reliability.
• Troubleshoot and resolve issues, performing root cause analysis when necessary.
• Track progress, risks, dependencies, and delivery timelines; elevate issues as needed.
• Ensure adherence to engineering best practices including code quality, testing, documentation, and CI/CD usage.
• Collaborate with team members and provide technical guidance, mentorship, and support.
• Stay up to date with industry trends and advancements in AI, automation, and cloud technologies.
• Ensure timely completion of assigned projects and deliverables.
• Complete all responsibilities as outlined in the annual performance review and/or goal setting.
• Complete all special projects and other duties as assigned.
• Must be able to perform duties with or without reasonable accommodation.

This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.

Qualifications

• Fully Bi-Lingual (both written and verbal)
• Bachelor's degree in computer science, Software Engineering, or a related field or equivalent experience
• 5+ years of experience as an Engineer, with a strong focus on AI development, Power Apps, Power Automate, AI Builder, Azure AI Studio and ML Development
• Proficiency in Cognitive Services, Azure, AWS, AWS Bedrock, and Sage Maker.
• Strong programming skills in languages such as Python, Java, or C++.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with deep learning frameworks like TensorFlow or PyTorch.
• Experience with RAG (Retrieve, Analyze, Generate) models is a plus.
• Familiarity with developing custom AI models and algorithms.
• Knowledge of LLama (Language Learning and Multilingual Applications) custom development is highly desired.
• Experience with natural language processing (NLP) and text analytics.
• Understanding of cloud-based AI services and platforms.
• Strong understanding of machine learning techniques and frameworks.
• Proven track record of successfully delivering AI projects.
• Knowledge of data engineering and data visualization techniques.
• Familiarity with DevOps practices for AI/ML deployments.
• Strong communication and collaboration abilities
• Ability to work independently and in a team-oriented environment
• Attention to detail and commitment to delivering high-quality work

Working Conditions and Physical Requirements

• Remaining in a stationary position, often standing or sitting for prolonged periods.
• Repeating motions that may include the wrists, hands and/or fingers.
• Must be able to provide a dedicated, secure work area.
• Must be able to provide high-speed internet access / connectivity and office setup and maintenance.