Oracle AI Architect

Title: Oracle AI Architect

Location: Houston, TX (onsite)

Duration: 8 months

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.

Day to Day Responsibilities:

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

Basic 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 cycle

4 year experience with Oracle OCI

Preferred Skills:

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

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