Job description

Position Summary : The AI Architect will be responsible for designing, implementing, and managing AI systems crucial to the organization’s operations. This role includes ensuring the performance, availability, and security of these systems. The AI Architect will work closely with the development team and other business units to align AI solutions with organizational needs and regulatory standards, particularly within the health plan sector. Essential Duties and Responsibilities: • Design, implement, and manage AI systems that meet both performance and security standards. • Analyze organizational needs and maintain AI solutions to support these requirements. • Ensure AI system performance, availability, and security are maintained at all times. • Develop and maintain AI architectures and data structures that align with business needs. • Implement backup and recovery plans to ensure data integrity and availability. • Work closely with the development team to optimize AI model usage and improve performance. • Provide technical support and guidance to resolve AI system issues and malfunctions. • Collaborate with other business units to understand future needs and adapt AI strategies accordingly. • Conduct regular security audits and compliance checks, particularly focusing on health plan data protection regulations such as HIPAA. • Prepare and present reports on AI status, performance, and strategic development to senior management. • Evaluate and recommend emerging AI technologies, frameworks, and tools for organizational adoption. • Develop AI governance policies, standards, and best practices to ensure responsible AI usage across the organization. • Mentor and guide development team members on AI/ML concepts, tools, and implementation patterns. • Design and oversee data pipelines and ETL processes to support AI/ML model training and deployment. • Performs other related duties as assigned. This job description in no way states or implies that these are the only duties performed by the employee occupying this position. Employees will be required to perform any other job-related duties assigned by their supervisor or management. Qualifications: REQUIRED • Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related field required. • At least 5 years of experience in AI/ML system development and management. • Minimum 3 years of experience with AI architecture design, model deployment, and data engineering. • Expertise in AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn, Azure AI Services). • Strong familiarity with cloud services such as Microsoft Azure or Amazon Web Services (AWS). • Proficiency in machine learning algorithms, data integration, and model lifecycle management. • Experience with ETL processes and data pipelines. • Strong problem-solving and communication skills. • Ability to work both independently and as part of a team. PREFERRED • Master’s degree in Artificial Intelligence, Machine Learning, Data Science, or related field. • Relevant professional certifications (e.g., Microsoft Azure AI Engineer, AWS Machine Learning Engineer, Google Professional ML Engineer). • Experience with large language models (LLMs), generative AI, and prompt engineering. • Experience with cloud-native AI/ML services (Azure OpenAI, Azure Machine Learning, AWS SageMaker). • Experience in a healthcare or health plan environment with understanding of HIPAA compliance requirements. • Understanding of ASC X12 standards for healthcare electronic data interchange such as: • • Medical Claims Interface – 837 • Benefit Enrollment – 834 • Claim File – 999 • Claim Status – 276/277 • Experience with CI/CD pipelines and DevOps practices for AI/ML model deployment (MLOps). • Familiarity with responsible AI principles, bias detection, and model explainability techniques. • Experience with vector databases, RAG (Retrieval-Augmented Generation) architecture, and semantic search. • Knowledge of Natural Language Processing (NLP) and computer vision applications. Skills and Abilities: • Deep technical expertise in AI principles, machine learning, deep learning, and data modeling methodologies. • Excellent verbal and written communication skills. • Strong analytical and problem-solving skills, with the ability to manage multiple tasks efficiently. • Excellent organizational skills and attention to detail. • • Excellent communication and interpersonal skills, capable of explaining complex AI concepts to non-technical stakeholders. • Experience working in a team environment. • Excellent time management skills with the proven ability to meet deadlines. • Extensive knowledge of the following: • • Python, R, or similar ML/AI programming languages • SQL and database management systems • Cloud AI/ML platforms (Azure AI, AWS SageMaker) • API development and integration (REST, GraphQL) • Data visualization and reporting tools • Commitment to continuous learning and adapting to new technologies and industry trends. • Proficient with Microsoft Office Suite or related software. Work Schedule: Community Care Plan is currently following a hybrid work schedule. The company reserves the right to change the work schedules based on the company needs. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. A reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, use hands, reach with hands and arms, and talk or hear. The employee is frequently required to stand, walk, and sit. The employee may occasionally be required to stoop, kneel, crouch or crawl. The employee may occasionally lift and/or move up to 15 pounds. Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of the job. The environment includes work inside/outside the office, travel to other offices, as well as domestic travel. A reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. We are an equal opportunity employer who recruits, employs, trains, compensates and promotes regardless of age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics that make our employees unique. We are committed to fostering, cultivating, and preserving a culture of diversity, equity, and inclusion. Background Screening Notice: In compliance with Florida law, candidates selected for this position must complete a Level 2 background screening through the Florida Care Provider Background Screening Clearinghouse. The Clearinghouse is a statewide system managed by the Agency for Health Care Administration (AHCA) and is designed to help protect children, seniors, and other vulnerable populations while streamlining the screening process for employers and applicants. Additional information is available at: 🔗 info.flclearinghouse.com

Requirements

Must-haves

Design, implement, and manage AI systems that meet both performance and security standards.
Analyze organizational needs and maintain AI solutions to support these requirements.
Ensure AI system performance, availability, and security are maintained at all times.
Develop and maintain AI architectures and data structures that align with business needs.
Implement backup and recovery plans to ensure data integrity and availability.
Work closely with the development team to optimize AI model usage and improve performance.
Provide technical support and guidance to resolve AI system issues and malfunctions.
Collaborate with other business units to understand future needs and adapt AI strategies accordingly.
Conduct regular security audits and compliance checks, particularly focusing on health plan data protection regulations such as HIPAA.
Prepare and present reports on AI status, performance, and strategic development to senior management.
Evaluate and recommend emerging AI technologies, frameworks, and tools for organizational adoption.
Develop AI governance policies, standards, and best practices to ensure responsible AI usage across the organization.

Nice-to-haves

Master’s degree in Artificial Intelligence, Machine Learning, Data Science, or related field.
Relevant professional certifications (e.g., Microsoft Azure AI Engineer, AWS Machine Learning Engineer, Google Professional ML Engineer).
Experience with large language models (LLMs), generative AI, and prompt engineering.
Experience with cloud-native AI/ML services (Azure OpenAI, Azure Machine Learning, AWS SageMaker).
Experience in a healthcare or health plan environment with understanding of HIPAA compliance requirements.
Understanding of ASC X12 standards for healthcare electronic data interchange such as: • • Medical Claims Interface – 837
Benefit Enrollment – 834
Claim File – 999
Claim Status – 276/277
Experience with CI/CD pipelines and DevOps practices for AI/ML model deployment (MLOps).
Familiarity with responsible AI principles, bias detection, and model explainability techniques.
Experience with vector databases, RAG (Retrieval-Augmented Generation) architecture, and semantic search.

Application prep

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Keywords to mirror

aimlazureawsmachine learningci/cdpythonsqlapirestgraphql

Platform: adp-workforce-now
Effort: medium

Benefits

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