Sr. Architect, AI Data Integration

Job Description

Your Role

We are looking for a forward-thinking, hands-on Enterprise Data Integration Architect to join our Integration Architecture team. In this role, you will serve as the dedicated integration representative partnering with the Data & AI organization. This position is essential for designing and delivering our enterprise-wide integration strategy for data and AI initiatives, using advanced technologies and cloud-native platforms on AWS and/or Azure.

The ideal candidate brings deep expertise in creating and implementing scalable, secure, and high-performance integration architectures. Working alongside the Enterprise Data Solution Architects, you will help enable advanced analytics, machine learning, and AI capabilities. You will collaborate with data architects, data engineers, data scientists, and enterprise architects to maintain seamless data flow across systems, domains, and platforms.

Strategic Leadership

What You'll Be Doing

• Define and lead the integration strategy for data and AI initiatives across the enterprise
• Collaborate with Data & AI leadership to align integration architecture with business objectives and data strategies
• Assess and propose modern integration technologies and patterns (e.g., event-driven, API-led, streaming, data mesh)
• Work with regional teams to define and design integration patterns and architectures
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Architecture & Design

• Create scalable, secure, and resilient integration architectures on AWS and/or Azure using services such as Glue, Lambda, Kinesis, S3, Redshift, and others
• Build integration patterns for real-time, batch, and near-real-time data movement across cloud and hybrid environments
• Ensure data lineage, governance, and observability are built into integration designs
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Collaboration & Enablement

• Serve as the primary connection point between the Integration and Data/AI teams, ensuring alignment and a common understanding
• Coach and mentor integration developers on best practices
• Partner with enterprise architects to maintain consistency across platforms and domains
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Innovation & Continuous Improvement

• Keep current with emerging trends in data integration, AI, and cloud technologies
• Lead proof-of-concept efforts to assess new tools and methodologies
• Support the creation of reusable integration assets and frameworks
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Required Skills

• Bachelor's or Master's degree in Computer Science, Information Systems, or related field
• 10 or more years of experience in enterprise integration architecture, with at least 3 years focused on data-centric integrations
• Demonstrated experience with AWS data and integration services (Examples: Glue, Kinesis, Lambda, EventBridge, S3, Redshift, or etc.)
• Practical experience building or enabling AI agents in production or advanced POCs
• Experience with agent frameworks and orchestration patterns
• Understanding of MCP
• Experience integrating LLMs via APIs for enterprise use cases
• Familiarity with RAG architectures, Vector database and embeddings, prompt management, tool calling, and agent workflows
• Exposure to Azure cloud services will be a plus
• Exposure to modern data architectures (e.g., data lakehouse, data mesh, real-time streaming)
• Experience with integration platforms such as MuleSoft, Apache Kafka, Informatica, or similar
• Familiarity with data governance, metadata management, and observability tools
• Strong communication and stakeholder management skills
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Preferred Skills

• Experience working in regulated industries (e.g., healthcare, finance)
• Knowledge of AI/ML pipelines and how integration supports model training and deployment
• Experience with DevOps and CI/CD practices in integration development.
• Certifications in AWS, MuleSoft, or other relevant technologies