Description:
Provide technical leadership in designing and developing scalable enterprise AI architectures, overseeing the design, implementation, and optimization of AI-driven solutions, including data pipelines, machine learning models, and intelligent automation systems while ensuring the quality, scalability, and efficiency of AI applications across the organization.

Role Accountabilities
 Define and implement AI strategy to align with mid-term and long-term business objectives and drive innovation.
 Design scalable and secure AI architectures to support enterprise-wide AI initiatives.
 Partner with cross-functional teams to align AI solutions with business and technical needs and improve process efficiency
 Design, build, implement, test, deploy, and maintain scalable AI models and applications
 Develop and enforce AI governance frameworks to ensure ethical, legal, and responsible AI usage.
 Select and integrate AI tools and platforms to optimize model development and deployment
 Oversee AI model lifecycle management to ensure efficient training, deployment, support, and monitoring.
 Ensure data quality and accessibility by collaborating with data architect to build robust pipelines.
 Develop data management strategies for AI model development, training, and deployment.
 Stay updated with AI trends and innovations to drive continuous improvement and competitiveness.
 Gather pertinent information from authorized sources to assess project requirements as related to assigned scope of work.
 Translate business requirements into detailed technical blueprints and specifications, ensuring alignment with business objectives and seamless implementation.
 Monitor AI model performance and optimize based on key performance indicators and feedback.
 Provide technical consulting to users regarding AI
 Documents all AI solution designs and analysis work
 Implement best practices to ensure reliability, scalability, and ethical AI implementations
 Identify and define interfaces to other software applications and functions
 Resolve internal and/or external client issues with the applications, escalating as necessary to appropriate personnel General Employee Accountabilities
 Bring full effort to bear on tasks assigned by manager
 Give manager best advice
 Give earliest notice when work cannot be delivered as specified
 Cooperate and collaborate with peers and interact cross-organizationally as specified by manager
 Exemplify Company Core Values: Integrity, Client Focus, Team Orientation, and Personal Commitment
 Comply with all Company policies, practices, and procedures and all regulations and laws
 Recommend viable improvements proactively
 Ensure effective utilization of business tools and processes
Minimum Qualifications
 Bachelor’s degree in computer science or computer applications, or related field or equivalent education/experience
 4 years of experience in AI, machine learning, deep learning, natural language processing or data science with hands-on
development and deployment.
 4 years of experience in leveraging large-scale data to drive business solutions
 8 years of experience in design and deployment of enterprise applications, through project life cycles
 Experience with AI/ML frameworks and tools like Oracle OCI Data Science, PyTorch,TensorFlow, Scikit-learn, and
Hugging Face.
 Proficiency in programming languages such as Python, Java, or C++.
 Experience with generative AI applications and implementation.
 Strong understanding of cloud platforms like Oracle OCI, Azure, or Google Cloud and AI-related services.
 Expertise in data architecture and engineering for AI-driven solutions, including SQL, NoSQL, and big data technologies.
 Knowledge of MLOps and CI/CD pipelines for AI model deployment and automation.
 Familiarity with AI ethics, governance, and compliance regulations such as GDPR and CCPA.
 Experience in Business Relationship, Portfolio, Project and Risk Management.
 Strong problem-solving and analytical skills to design and optimize AI solutions.
 Demonstrated experience with data mapping, and data science techniques
 Demonstrated ability to deliver a project or multiple projects on time, from concept through deployment
 Demonstrated successful working relationships with clients, suppliers, and other internal and external contacts
 Demonstrated successful and positive personal leadership, interpersonal, organizational, administrative, and
communication skills
 Demonstrated continuous improvement in areas of responsibility
 Proficiency in Microsoft Excel, Word and Outlook
 Availability to travel domestically and internationally, less than 5%.

Preferred Qualifications:
 MBA or a Master's degree in a related field
 Demonstrated expertise in Oracle eBusiness Suite Applications and Oracle Cloud Infrastructure, Oracle Analytics Cloud
and Oracle Business Intelligence tools
 Knowledge of Oracle EBS database schemas and tables
 Knowledge of Financial Planning and Analysis
 Demonstrated experience in software development methodologies
 Certification in PMI, Artificial Intelligence, and Data Science