Senior Director, Cloud and AI Platforms

** Date Posted:
**** Country:
** United States of America
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* Location:

** OT999: 1CP - Farmington, CT One Carrier Place, Farmington, CT, 06032 USAThis person must be able to go into the office in Farmington, CT three times a week.
** On a typical day you will:
*** Set and communicate the vision, operating model, and multi-year roadmap for Multi cloud & AI Platforms aligned to enterprise strategy.
* Lead cloud architecture team delivering the foundation for core cloud services (landing zones, identity, networking, compute, storage, Kubernetes, service mesh) with architectures designed to meet SLOs and reliability practices.
* Own the developer enablement strategy, including CI/CD patterns, infrastructure-as-code, golden paths, templates, and self-service automation.
* Establish scalable observability and DR architecture: monitoring, logging, tracing, and disaster recovery tools & design.
* Define and evolve the enterprise AI platform architecture, including AI landing zones, model serving patterns, RAG architectures, vector search integration, prompt management, evaluation, and guardrails.
* Define GenAIOps standards including reproducibility, automated testing, model/prompt evaluation, and release governance.
* Partner with Security, Risk, and Compliance to embed security-by-design, policy-as-code, data protection, and responsible AI controls (privacy, fairness, explainability, auditability).
* Drive cloud financial management (Fin Ops): cost visibility, unit economics, budgeting, chargeback/showback, optimization, and vendor management.
* Define platform standards and reference architectures, influence application modernization and AI adoption across business units.
* Manage and develop leaders: hiring, performance management, coaching, succession planning, and creating a high-trust, high-accountability culture.
* Measure and improve platform outcomes using KPIs (deployment frequency, lead time, change failure rate, MTTR, SLO attainment, cost per workload, AI time-to-value).
* Represent the platform organization in executive forums; provide clear updates on progress, risks, and tradeoffs.
** What you will need to be successful:
*** 12+ years of experience in cloud architecture, platform engineering, infrastructure modernization, or containerization, with a strong foundation in related technologies. Includes at least 5+ years leading managers and multi-team organizations
* Proven experience building and operating enterprise cloud platforms (AWS, Azure, and/or GCP) at scale, including networking, security, and governance
* Deep knowledge of Kubernetes and container platforms; infrastructure-as-code (Terraform, Bicep/ARM, Cloud Formation), and modern CI/CD practices
* Track record delivering high-availability systems with mature incident management, SLO/SLI practices, and strong operational rigor
* Hands-on understanding of AI/ML and generative AI platform needs (model lifecycle, serving, evaluation, vector databases, RAG architectures, AI cost management)
* Experience implementing security-by-design and compliance controls in regulated environments (e.g., SOC2, ISO 27001, PCI, HIPAA—as applicable)
* Strong executive communication skills with ability to translate technical tradeoffs into business impact
* Bachelor’s degree in computer science, Engineering, or equivalent practical experience
** Preferred Qualifications
*** Experience establishing an internal developer platform (IDP) and product management mindset for platform teams
* Experience with enterprise IAM patterns, zero trust architectures, secrets management, and policy-as-code (e.g., OPA/Gatekeeper)
* Experience with data platforms and governance (lakehouse/warehouse, data catalog, lineage) and their integration with AI/ML workflows
* Familiarity with major AI platforms and tooling (e.g., Azure AI, Sage Maker, Vertex AI, Databricks, Snowflake, OpenAI/Azure OpenAI) and evaluation/guardrail frameworks
* Master’s degree (MS/PhD) in a relevant field or MBA with strong technical background
** Leadership Competencies
*** Strategic thinking with bias for execution; can set direction while delivering measurable outcomes
* Customer-centric platform leadership treats internal engineering teams as customers and designs for usability and adoption
* Strong cross-functional influence across Security, Data, Architecture, Finance, and Product
* Operational excellence: builds repeatable processes, clear accountability, and resilient systems
* Talent builder: hires and develops leaders; fosters inclusive, high-performing teams
* Clear, concise communication; comfortable presenting to executives and technical audiences
** Additional Comments:
** Given the nature of the position, applicants must have authorization to work in the U.S. now and in the future without sponsorship.
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* What we offer:

*** We offer a 401(k) plan with a generous company match and an automatic retirement contribution for your future financial security from day one of your employment, you and your eligible dependents will receive…