Principal Platform Engineer (Platform Engineering & AI Enablement)

Quick Facts

• Role: Principal Platform Engineer (Platform Engineering & AI Enablement)
• Focus: Enterprise cloud platform foundations, developer productivity automation, and secure AI enablement
• Environment: Agile; hybrid work model (at least 3 days/week onsite at Waltham, MA)

Description

You will define and build foundational enterprise platforms, automation, and engineering practices that enable secure, scalable, and reliable delivery of modern applications, analytics, and AI solutions. The role leads platform engineering foundations for enterprise AI initiatives, including LLM and generative AI enablement, model lifecycle management, observability, governance, and secure deployment.

Responsibilities

• Define and deliver an enterprise platform engineering roadmap
• Build reusable services, self-service capabilities, standardized developer workflows, and internal developer platform capabilities
• Automate repetitive work across cloud, data, AI, and application delivery
• Create tools, templates, and workflows for architecture intake, risk assessment, and solution reviews
• Advise the Architecture Review Board on technical feasibility, platform fit, and risk
• Set standards for source control, automated build and release pipelines, testing, and infrastructure managed as code
• Standardize deployment, configuration, and release processes across teams
• Improve developer experience through reusable workflows, guardrails, and approved tools
• Measure platform adoption, delivery speed, quality, and reduction of manual effort
• Design and operate secure, scalable, cost-effective AWS platform services
• Establish monitoring, logging, alerting, service objectives, and incident response practices
• Lead reliability improvements, post-incident reviews, disaster recovery, patching, and vulnerability management
• Embed security and compliance controls into platform designs and automated delivery
• Build reusable platform capabilities and cloud patterns for AI/ML/analytics/generative AI workloads
• Partner with data and science teams to move solutions from development into reliable production
• Automate model deployment, monitoring, and lifecycle management
• Apply governance for validation, security, bias, explainability, and regulatory compliance
• Serve as a trusted technical advisor, mentor engineers, and influence decisions through hands-on expertise and clear communication

Benefits

• Annual base salary range: $180,000–$210,000
• Eligible for an annual performance pay bonus
• Competitive benefits package
• Hybrid workplace model: eligible hybrid; not fully remote (onsite at least 3 days/week in Waltham, MA)