Job Title: Architect (Multi-skill), AI Transformation Core Team
Role Summary
Location: Cincinnati, Ohio, USA
Employment: Full-Time / Permanent
Compensation: Approximately $200,000 annual base salary
Seniority: Principal / Senior Enterprise Architect
Industry: Consumer Packaged Goods (CPG)
Priority: Urgent / Critical
POSITION OVERVIEW
We are seeking an accomplished Principal AI Architect to lead the design and implementation of a Foundational AI Platform supporting enterprise-scale AI transformation initiatives.
This highly strategic and technically demanding role combines agentic AI architecture, MCP server and gateway implementation, enterprise AI governance, observability, and cloud-native AI solutions across Microsoft Azure and Google Cloud Platform.
The successful candidate will collaborate with enterprise AI platform teams, knowledge engineering specialists, business stakeholders, and technology partners to establish scalable, secure, and production-ready AI architectures.
This is a hands-on enterprise architecture leadership role, not a conventional AI development or prompt engineering position.
KEY RESPONSIBILITIES
1. Foundational AI Platform Architecture
Own the end-to-end architecture of enterprise agentic AI platforms.
Design multi-agent orchestration, planning and reasoning workflows, agent communication, fallback mechanisms, and human-in-the-loop controls.
Establish agent management and control-plane capabilities, including registries, versioning, deployment, configuration, and governance.
Design Responsible AI guardrails, security controls, PII protection, and policy enforcement.
Develop observability and evaluation architectures covering tracing, performance, cost telemetry, regression testing, and quality monitoring.
Create reusable AI agents, copilots, and implementation frameworks.
2. MCP Server and Gateway Architecture
Define and implement MCP server reference architectures.
Design and integrate enterprise MCP gateways.
Establish tool discovery, registration, routing, authorization, and multi-tenant capabilities.
Integrate enterprise APIs and services through MCP-compatible infrastructure.
Implement secure identity and access management using OAuth, OIDC, and related enterprise security protocols.
Hands-on MCP server development and gateway integration experience is mandatory.
3. Enterprise Knowledge Integration
Collaborate with knowledge engineering teams to integrate enterprise retrieval services.
Define retrieval contracts, schemas, and integration requirements.
Incorporate RAG and GraphRAG outputs into agentic applications.
Establish quality feedback and evaluation mechanisms.
4. Azure and Google Cloud Platform AI Solutions
Architect production-grade AI solutions across Microsoft Azure and Google Cloud Platform.
Leverage Azure OpenAI, Azure AI Foundry, Azure AI Search, Cosmos DB, and AKS.
Leverage Vertex AI, Gemini, BigQuery, and GKE.
Design hybrid and cross-cloud AI architectures.
Establish secure connectivity, identity propagation, model routing, and scalable infrastructure.
5. Engineering Leadership
Lead enterprise architecture reviews and establish technical standards.
Mentor AI engineering teams and technical delivery groups.
Collaborate with stakeholders on architecture strategy and platform roadmaps.
Promote AI-native software development practices.
Support scalable, secure, and reliable enterprise implementation.
Ideal Candidate
REQUIRED QUALIFICATIONS
10+ years of enterprise architecture or solutions architecture experience.
3+ years of GenAI and agentic AI experience.
At least 2 years of experience deploying and supporting GenAI solutions in production.
Demonstrated hands-on MCP server implementation and MCP gateway integration.
Strong experience with LangGraph, AutoGen, Semantic Kernel, or equivalent agentic frameworks.
Practical knowledge of RAG, GraphRAG, AI evaluations, and Responsible AI guardrails.
Expertise in both Azure and Google Cloud Platform AI/data ecosystems.
Strong Kubernetes and Infrastructure as Code experience.
Enterprise API architecture and security expertise, including OAuth, OIDC, and mTLS.
Strong observability, reliability engineering, and production operations fundamentals.
Proven experience within the Consumer Packaged Goods industry.
Strong enterprise technical leadership and communication skills.
PREFERRED QUALIFICATIONS
AIOps and ITSM integration experience.
ServiceNow or similar enterprise ITSM platforms.
Experience implementing AI copilots for enterprise operations or engineering productivity.
Knowledge of specification-driven development approaches.
Experience working in complex, multi-vendor enterprise environments.
Experience collaborating with global engineering teams.
INDUSTRY REQUIREMENT
Candidates must demonstrate relevant experience in the Consumer Packaged Goods industry.
Experience supporting CPG technology transformation initiatives is especially relevant.
Candidates should clearly identify the CPG organizations, business areas, and transformation programs they have supported.
LOCATION AND WORK AUTHORIZATION
The position is associated with Cincinnati, Ohio.
Candidates must confirm their current location and ability to meet Cincinnati-based employment requirements.
The final onsite/remote working arrangement is being clarified.
H1B candidates may be considered as a lower priority, subject to client requirements.
COMPENSATION
Target annual base compensation is approximately USD 200,000.
Final compensation will depend on qualifications, technical depth, and client approval.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 80183531
- Position Id: 5214d58b6c7533083b95645e5352e219
- Posted 11 hours ago
