Enterprise AI & Data Platform Architect

Pitney Bowes; Shelton (CT); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

PB Benefits and Wellbeing Programs

Hybrid work model

Job summary

Pitney Bowes seeks a senior technical leader to set the direction for the organization’s AI and data architecture. You will build a scalable, secure, and governed foundation supporting analytics, ML, and generative AI.

You will lead enterprise AI and data strategy, define standards, and partner with security and risk teams to protect sensitive data and models. Hybrid Shelton, CT in-office presence required.

Qualifications

• 15+ years in enterprise architecture, data architecture, or AI/ML platforms.
• Proven success building enterprise-scale data and AI platforms.
• Experience driving AI adoption from concept to production at scale.
• Strong background in AWS, Azure, and GCP; distributed systems.

Responsibilities

• Lead enterprise AI and data strategy and own the architecture roadmap.
• Align AI initiatives with business goals and measurable value.
• Establish standards for scalable AI and data capabilities.
• Design modern data architecture including lakehouse and data mesh.
• Lead the development of a centralized, scalable enterprise data platform.
• Build AI/ML platform capabilities including MLOps and LLMOps.
• Oversee governance, security, and compliance for data and AI systems.
• Mentor a high-performing team of architects and engineers.

Skills

Enterprise architecture

Data architecture

AI/ML platforms

Cloud platforms

MLOps/LLMOps

Stakeholder influence

Tools

Lakehouse

Data mesh

ETL/ELT

ML deployment pipelines

Cloud-native architectures

Job description

Pitney Bowes seeks a senior technical leader to set the direction for the organization’s AI and data architecture. You will build a scalable, secure, and governed foundation supporting analytics, ML, and generative AI.

You will lead enterprise AI and data strategy, define standards, and partner with security and risk teams to protect sensitive data and models. Hybrid Shelton, CT in-office presence required.