Enterprise Architect AI

The Enterprise Architect AI is responsible for designing and implementing scalable AI solutions across cloud and on-premises environments. This role emphasizes the seamless integration of AI models into the organization's technology stack, fostering a culture of reusability, scalability, and innovation. The ideal candidate will possess deep technical expertise in both cloud-native and legacy data systems, with a proven ability to collaborate with cross-functional teams and deliver data-driven solutions that meet business needs. More importantly, the candidate must have the ability to develop and document comprehensive reference architectures and blueprints to guide the organization's AI strategy according to the organization standards., * Design and implement data architectures that facilitate the deployment of AI models, ensuring scalability, security, and performance across both cloud and on-premises environments.

• Drive integration of AI solutions with existing data infrastructures, ensuring seamless compatibility between legacy systems and modern cloud-native platforms.

• Lead efforts to modernize data systems, transitioning from on-premises legacy architectures to cloud-native data lakes, warehouses, and advanced analytics platforms.

• Collaborate with data scientists, engineers, and business stakeholders to align AI models and data platforms with business goals and deliver measurable outcomes.

• Foster a product engineering mindset within the data architecture teams, ensuring data solutions are built for reusability, flexibility, and scalability.

• Implement best practices for data governance, security, and compliance, ensuring all data architectures meet regulatory requirements and protect sensitive information.

• Oversee integration of DevOps practices into data pipelines and AI solution deployment, ensuring automation, efficiency, and continuous improvement across the organization's data ecosystem.

• Communicate complex technical architectures and AI strategies to senior leadership, ensuring alignment with the broader enterprise architecture and business objectives.

Skills Profile:

• Technologies: AI/ML frameworks & technologies (e.g. conversational AI, genAI, LLM, RAG…), expertise in cloud services, data processing platforms, relational databases, document stores, key-value stores, streaming and messaging systems, Lakehouse architecture, ETL pipelines.

• Cloud Expertise: Strong experience with cloud-based data architectures, including data storage, processing, and AI integration.

• AI/ML Integration: Deep knowledge of integrating AI models into existing data infrastructures and deploying them across hybrid environments.

• AI Governance and Security: Expertise in AI governance, ensuring compliance with regulatory standards and implementing robust security practices across both cloud and on-premises environments.

Essential Functions:

• Make decisions regarding the overall enterprise architecture priorities.

• Translate business needs into architectural solutions (current and target state) and define solutions to problems through the application of information technology.

• Facilitate the establishment and implementation of standards/guidelines directing the integration of multiple platforms.

• Develop and document the framework for the integration/implementation of changes to architectural standards.

• Determine architecture solutions that meet performance, scalability, reliability, and security needs.

• Provide technical guidance to project teams.

• Coach the development of junior IT architects.

• Perform other duties as assigned.

Do you have experience in Solution architecture?, Do you have a Bachelor's degree?, Bachelor's degree in computer science, engineering, information systems, or equivalent formal training.

Minimum Experience:

Ten years of equivalent work experience in an information technology or engineering environment.

Knowledge, Skills, and Abilities:

• Ability to apply basic computer concepts, theories, principles, and methods to projects, business problems, issues, and/or questions.

• Strong communication skills.