Enterprise Application Architect

Enterprise Architect AI

We are seeking an experienced Enterprise Architect AI to design and implement scalable AI solutions across both cloud and on-premises environments. In this role, you will play a key part in integrating AI models into our client's organization's technology stack, promoting scalability, reusability, and innovation. You’ll be working closely with cross-functional teams to deliver data-driven solutions that align with business objectives.

Key Responsibilities:

• Design and implement data architectures for AI model deployment ensuring scalability, security, and performance across cloud and on-premises environments.

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

• Guide the transition 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.

• Foster a product engineering mindset within the data architecture teams for building reusable, scalable data solutions.

• Implement best practices for data governance, security, and compliance, ensuring adherence to regulatory standards.

• Oversee DevOps practices in data pipelines and AI solution deployment to ensure automation and continuous improvement.

• Communicate technical architectures and AI strategies to senior leadership to ensure alignment with enterprise and business objectives.

Skills & Experience Required:

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

• Strong experience with cloud-based data architectures and AI integration.

• In-depth knowledge of AI model integration into hybrid environments.

• Expertise in AI governance, security, and compliance across both cloud and on-premises environments.

Minimum Qualifications:

• Bachelor's degree in computer science, engineering, information systems, or equivalent.

• Ten years of work experience in IT or engineering environments.

Additional Skills:

• Ability to apply computer science concepts to business problems.

• Excellent communication skills to effectively engage with senior leadership and cross-functional teams.

Interested? Apply now to join a dynamic, innovative team and play a crucial role in shaping the future of AI technology.