Date Posted:2026-03-21
Country: United States of America
Location: OTCTH: Connecticut Home Offices Remote Location, Remote City, CT, 06032 USA
The Senior Director, Cloud and AI Platforms lead the strategy, architecture, and enablement of the enterprise cloud and AI platform ecosystem. This role partners across product, security, data, and application teams to deliver secure, reliable, scalable cloud capabilities (compute, storage, network, Kubernetes, CI/CD, observability, developer experience) and AI platform capabilities that accelerate delivery and improve business outcomes.
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 (FinOps): 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, CloudFormation), 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
- Ability to travel up to 15%
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, SageMaker, 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.
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 comprehensive medical, prescription drug, dental, and vision coverage.
- Enjoy three weeks of paid vacation, along with paid company holidays
- We provide paid sick leave, employee assistance, and wellness incentive programs to support your well-being.
- Life insurance and disability coverage to protect you and your family.
- Voluntary benefits, including options for legal, pet, home, and auto insurance.
- We offer generous birth/adoption and parental leave benefits, as well as adoption assistance, to support growing families.
- Pursue your educational goals with our tuition reimbursement program.
- Recognize and be recognized! We celebrate service anniversaries and offer spot performance bonus opportunities to show our appreciation.
The salary range for this role is $198,000 to $298,000. We may ultimately pay more or less than the posted range, and the range may change in the future. Pay within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.
If you live in a city, chances are we will give you a lift or play a role in keeping you moving every day.
