▷ (Only 24h Left) Architect - Fax/Telephony, Machine Learning, AI, Cloud

Job Description Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. To continue modernizing our fax infrastructure, we must transition the Production B workflow environment supporting 294 groups and thousands of end-user accounts-each with unique workflows. This transition involves migrating business processes from one platform to another, requiring close collaboration with business users to ensure their workflows are adapted without adding extra steps or time. The ideal candidate will not only support this transition but also identify opportunities to streamline operations using AI. This includes replacing manual steps and reducing the need for users to review fax images before proceeding. Their insights will be critical in shaping the next phase of our fax modernization journey. We are specifically seeking someone with solid experience in AI technologies to help us drive automation and efficiency across these workflows. Primary Responsibilities: - Customer Engagement and issue resolution - Leading and driving infrastructure initiatives around telephony - Team collaboration and mentorship - Working with our On Prem and Cloud Infrastructure - Provisioning new users and managing user changes - Basic, structured, standard approach to work - Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: - Bachelor's degree - Technical Proficiency - Expertise in Natural Language Processing (NLP) for language understanding, semantic analysis, and conversational AI - Experience with Optical Character Recognition (OCR) technologies for document digitization and automated data extraction - Familiarity with Telephony systems, including voice processing, speech recognition, and integration with communication platforms - Solid foundation in Machine Learning (ML) and Deep Learning, including model development, training, and deployment - Proficient in Data Engineering and Preprocessing, with skills in data pipeline design, feature engineering, and large-scale data transformation - Analytical & Problem-Solving Skills - Demonstrated ability in problem solving and applying structured approaches to complex technical challenges - Solid critical thinking skills for evaluating data, models, and system behaviors to drive informed decisions - Interpersonal & Ethical Competencies - Effective communication skills for conveying technical concepts to diverse audiences - Proven ability to collaborate across multidisciplinary teams in agile and dynamic environments - Commitment to ethical judgment in AI development, including fairness, transparency, and accountability - Awareness of social responsibility, ensuring technology solutions are inclusive, equitable, and aligned with societal values - Deploy and manage ML models on cloud platforms such as Microsoft Azure, AWS, Google Cloud Platform (GCP) - Leverage cloud-native tools like Azure Machine Learning, AWS SageMaker, GCP AI Platform for model training, deployment, and monitoring #Nic