Senior Director, Enterprise AI Architecture & Platform

Acosta, Inc.; Oak Brook (IL); On-site; USD 150,000 - 215,000; Full time

Job summary

Acosta Group is seeking a Senior Director to define, build, and scale the AI architecture and platform engineering capabilities across the enterprise. This leader will own the foundation for AI solutions, agents, copilots, and secure production-ready platforms used by multiple teams and business domains.

The role supports an AI CoE operating model with guardrails, federated execution, and reusable enterprise capabilities to accelerate enterprise AI beyond pilots.

Qualifications

• 15+ years of progressive technology leadership experience across software engineering, platform engineering, cloud, data, AI/ML, or enterprise technology organizations.
• 7+ years leading large-scale engineering teams responsible for platform engineering, AI/ML engineering, cloud platforms, data platforms, or related production technology capabilities.
• Proven experience building and scaling enterprise platforms including reusable services, shared capabilities, APIs, integration frameworks, and production-grade systems.
• Hands-on experience delivering production AI solutions at scale, including GenAI, agentic AI, AI copilots, intelligent automation, and enterprise AI applications beyond pilots and proofs of concept.
• Deep technical expertise in AI architecture, GenAI, agentic AI, RAG, orchestration frameworks, APIs, cloud-native architecture, MLOps/LLMOps, observability, platform reliability, security, and enterprise data platforms.
• Strong experience with modern AI and cloud ecosystems, including Azure, Azure OpenAI, Microsoft Fabric, Kubernetes, DevSecOps, CI/CD, and enterprise integration patterns.
• Proven ability to define enterprise AI reference architectures, engineering standards, and platform guardrails that enable scalability, security, reuse, interoperability, cost optimization, and production readiness across the organization.
• Executive-level technical leadership skills, with the ability to influence senior leaders, challenge architectural decisions, evaluate emerging technologies, and make complex trade-offs across scalability, risk, performance, cost, and business value.
• Exceptional communication skills, with the ability to translate complex technical concepts into clear business outcomes, strategic decisions, and enterprise transformation impact.

Responsibilities

• Define and own Acosta Group’s enterprise AI reference architecture across traditional AI, GenAI, agentic AI, copilots, RAG, orchestration, workflow automation, and AI-enabled enterprise applications.
• Build and scale enterprise AI platform engineering capabilities, including reusable services, shared APIs, integration frameworks, orchestration patterns, developer tooling, templates, and production-grade platform components used across multiple teams and business domains.
• Lead the design and delivery of production AI solutions at scale, including GenAI applications, agentic workflows, AI copilots, intelligent automation, and enterprise AI products that move beyond pilots and proofs of concept.
• Establish enterprise engineering standards, platform guardrails, reference implementations, reusable accelerators, and developer-ready patterns that enable secure, scalable, interoperable, and cost-effective AI delivery.
• Define and mature MLOps, LLMOps, ModelOps, observability, evaluation, lifecycle management, platform reliability, security, DevSecOps, CI/CD, and production support practices for enterprise AI systems.
• Guide the use of modern AI, cloud, and data ecosystems including Azure, Azure AI Foundry, Azure OpenAI, Microsoft Fabric, Kubernetes, APIs, and enterprise integration patterns to support reusable and governed AI capabilities.
• Provide senior technical leadership to transformation programs, business-unit AI initiatives, internal engineering teams, and delivery partners to ensure reuse, interoperability, scalability, security, production readiness, and alignment with the AI CoE operating model.
• Influence executive and senior technology stakeholders by evaluating emerging technologies, challenging architectural decisions, and making transparent trade-offs across scalability, risk, performance, cost, speed, and business value.
• Partner with AI Governance, Cybersecurity, Data, Technology, Responsible AI, and business leaders to embed governance, security, compliance, responsible AI controls, and cost optimization directly into AI engineering workflows and platform services.

Skills

AI architecture

Platform engineering

MLOps/LLMOps

Cloud computing

Leadership

Stakeholder communication

Security & DevSecOps

Tools

Azure

Azure OpenAI

Azure AI Foundry

Microsoft Fabric

Kubernetes

CI/CD

APIs

Job description

Acosta Group is seeking a Senior Director to define, build, and scale the AI architecture and platform engineering capabilities across the enterprise. This leader will own the foundation for AI solutions, agents, copilots, and secure production-ready platforms used by multiple teams and business domains.

The role supports an AI CoE operating model with guardrails, federated execution, and reusable enterprise capabilities to accelerate enterprise AI beyond pilots.