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Lead AI Solutions Architect

2 months ago


South Jordan, Utah, United States Cotiviti Full time
Lead AI Solutions Architect Position

Location: Remote

Category: Engineering/IT

Position Type: Full-Time

Overview:

We are seeking an experienced Lead AI Solutions Architect with expertise in Azure AI Studio, Azure Open AI, Microsoft Copilots, and advanced AI and ML methodologies. In this pivotal role, you will spearhead our AI projects, providing guidance and support to all stakeholders within the organization who are engaged in AI initiatives.

Your primary responsibility will be to design, develop, and implement cutting-edge AI solutions that align with our strategic objectives and industry best practices.


Key Responsibilities:
  • Develop and sustain our AI infrastructure utilizing Azure AI Studio and AWS Bedrock.
  • Implement and refine AI algorithms and models for optimal performance.
  • Collaborate with interdisciplinary teams to gather business requirements and craft effective AI solutions.
  • Integrate AI technologies, including Cognitive Services, into our existing systems.
  • Stay informed on the latest trends in AI and ML, proposing innovative strategies.
  • Ensure the scalability, reliability, and efficiency of the AI infrastructure.
  • Fulfill all responsibilities as outlined in performance evaluations and goal-setting sessions.
  • Complete special projects and additional tasks as assigned.
  • Ability to perform duties with or without reasonable accommodation.

Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline.
  • A minimum of 7 years of experience in AI and ML development.
  • Proficiency in Azure AI Studio, 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 advantageous.
  • Knowledge of developing custom AI models and algorithms.
  • Understanding of LLama (Language Learning and Multilingual Applications) custom development is highly desirable.
  • Experience with natural language processing (NLP) and text analytics.
  • Comprehensive understanding of cloud-based AI services and platforms.
  • Strong grasp of machine learning techniques and frameworks.
  • Proven success in delivering AI projects effectively.
  • Knowledge of data engineering and visualization techniques.
  • Familiarity with DevOps practices for AI/ML deployments.

Physical Requirements and Working Conditions:
  • Ability to remain in a stationary position, often standing or sitting for extended periods.
  • Repetitive motions that may include the wrists, hands, and/or fingers.
  • Must provide a dedicated, secure workspace.
  • Must ensure high-speed internet access and maintain an office setup.

Mental Requirements:
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork capabilities.
  • Ability to design and implement scalable and efficient AI solutions.
  • Capacity to work independently while collaborating effectively with team members.