Sr. Director of AI & Architecture
Indexed description
To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.
Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).
Please review the job details below.
Vantor is looking for a Senior Director of AI & Architecture to build and lead the company’s AI-enabled engineering foundation. This leader will own the development environment, platform architecture, and AI strategy for the organization—turning AI from experimentation into a core operating capability.
Reporting to the CIO, you will define how engineering gets work done at Vantor: the tools, platforms, and AI systems that drive speed, scale, and differentiation. At the same time, you will act as Vantor’s AI champion, embedding intelligent automation and agentic workflows across the business. This role requires a builder who can operate at both executive and hands-on levels, and who has a track record of turning emerging technology into measurable outcomes.
What You’ll Own
AI Strategy & Enterprise Adoption
- Help shape and execute Vantor’s enterprise AI strategy, aligned to product and operational priorities
- Serve as one of the the company-wide enterprise AI leaders, driving adoption beyond engineering into business workflows
- Be a core member of the AI Center of Excellence (CoE) and governance committee to accelerate delivery and standardize patterns
- Help the organization operationalize LLMs, agentic systems, and automation frameworks into production use cases
- Assist in shaping pragmatic governance to ensure secure, responsible, and scalable AI usage
- Partner with Engineering leadership to Build and own Vantor’s end-to-end development environment
- Standardize and optimize tooling, CI/CD, infrastructure-as-code, and developer workflows
- Integrate AI-assisted development (copilots, agents, automated testing) into the SDLC
- Drive a platform-first model that enables engineers to ship faster with less friction
- Continuously improve developer productivity, onboarding, and system reliability
- Define Vantor’s modern architecture strategy across cloud, data, and application layers across secure and non-secure environments
- Design scalable, cost-efficient, and highly available platforms that support growth
- Lead modernization efforts, including consolidation, automation, and technical debt reduction
- Embed observability, security, and performance as core architectural principles
- Lead high-impact initiatives that improve velocity, cost structure, and scalability
- Establish clear KPIs for AI impact, platform adoption, and engineering efficiency
- Drive an automation-first culture, reducing manual work across engineering and operations
- Deliver measurable outcomes (e.g., reduced cycle time, lower cloud spend, improved margins)
- Partner closely with the CIO, CTO, and leadership team to shape Vantor’s technology platforms
- Translate AI and platform investments into clear business value and ROI
- Align cross-functional stakeholders around a unified architecture and operating model
- Engineers deliver faster with fewer dependencies and better tooling
- AI is embedded in how Vantor operates—not a side initiative
- Platform and architecture scale cleanly with business growth
- Measurable gains in efficiency, cost optimization, and delivery speed
- Vantor is recognized internally as AI-first in execution, not just strategy
Role Requirements
- Minimum 10 years of experience in software engineering, platform engineering, enterprise architecture, or related technical leadership roles, including at least 2 years leading platform engineering, architecture, or AI-driven transformation initiatives
- Minimum 10 years of experience working with cloud-native platforms, DevOps practices, and modern software engineering methodologies
- Minimum 5 years of experience delivering enterprise technology solutions, including demonstrated success implementing AI solutions that achieve measurable business outcomes (not just pilots)
- Minimum 5 years of experience working with large language models (LLMs), automation frameworks, AI/ML systems, or emerging AI architectures
- Minimum 5 years of experience leading engineering teams, including distributed teams, and managing the scale, reliability, and performance of systems in growth environments
- Demonstrated ability to evaluate technical decisions in relation to business objectives, including revenue growth, cost management, and operational efficiency
- The base pay for this position within Colorado is: $193,000.00 - $257,000.00 - $282,700.00 annually.
Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers
Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions.
The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.
The date of posting can be found on Vantor's Career page at the top of each job posting.
To apply, submit your application via Vantor's Career page.
EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.
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