Required AI Engineer & Architect
The Role:
As AI Architect in the ACoE, you are the technical backbone of our internal agentic transformation. You will design and build the reference architectures, standards, and shared infrastructure that enable hundreds of AI agents to run reliably, safely, and at scale – across R&D, Sales, Customer Revenue, HR, Finance, and Marketing.
This is a hands-on, highly visible role. You will split your time between deep technical work (designing agent orchestration patterns, building cross-company automations, evaluating platforms) and enabling others (code reviews, technical mentorship of citizen developers, setting standards). You will report directly to the ACoE Lead and work closely with the CTO, BI, and Platform teams.
Key Responsibilities
Architecture & Standards:
Define and maintain our reference architectures for agent orchestration, tool permissions, memory models, inter-agent communication, and data boundaries
Establish technical standards for agentic development – prompt engineering patterns, evaluation harnesses, testing frameworks, and shared agent templates
Drive tooling standardization across in partnership with the CTO and CFO, and lead the annual vendor/platform review
Build & Enable:
Develop and maintain selected cross-company agentic solutions and automation workflows
Build and maintain the shared infrastructure: monitoring integrations, KPI dashboards, the agent registry, and the ACoE knowledge base
Conduct technical reviews and code reviews for agents before production deployment
Serve as technical SME for citizen developers across all business units – unblocking, guiding, and reviewing their work
Governance Support:
Define and implement the pre-deployment evaluation harness and model card standards
Support the AI Governance Officer (initially the ACoE Lead) with technical input on risk classification, incident response, and rollback planning
Contribute to quarterly ethics audits for high-risk agents
Innovation:
Track the rapidly evolving agentic AI ecosystem and bring relevant insights and tools back
Co-author external technical content (whitepapers, conference presentations) to establish our technical thought leadership.
The Role:
As AI Architect in the ACoE, you are the technical backbone of our internal agentic transformation. You will design and build the reference architectures, standards, and shared infrastructure that enable hundreds of AI agents to run reliably, safely, and at scale – across R&D, Sales, Customer Revenue, HR, Finance, and Marketing.
This is a hands-on, highly visible role. You will split your time between deep technical work (designing agent orchestration patterns, building cross-company automations, evaluating platforms) and enabling others (code reviews, technical mentorship of citizen developers, setting standards). You will report directly to the ACoE Lead and work closely with the CTO, BI, and Platform teams.
Key Responsibilities
Architecture & Standards:
Define and maintain our reference architectures for agent orchestration, tool permissions, memory models, inter-agent communication, and data boundaries
Establish technical standards for agentic development – prompt engineering patterns, evaluation harnesses, testing frameworks, and shared agent templates
Drive tooling standardization across in partnership with the CTO and CFO, and lead the annual vendor/platform review
Build & Enable:
Develop and maintain selected cross-company agentic solutions and automation workflows
Build and maintain the shared infrastructure: monitoring integrations, KPI dashboards, the agent registry, and the ACoE knowledge base
Conduct technical reviews and code reviews for agents before production deployment
Serve as technical SME for citizen developers across all business units – unblocking, guiding, and reviewing their work
Governance Support:
Define and implement the pre-deployment evaluation harness and model card standards
Support the AI Governance Officer (initially the ACoE Lead) with technical input on risk classification, incident response, and rollback planning
Contribute to quarterly ethics audits for high-risk agents
Innovation:
Track the rapidly evolving agentic AI ecosystem and bring relevant insights and tools back
Co-author external technical content (whitepapers, conference presentations) to establish our technical thought leadership.
Requirements:
5+ years of experience in system architecture or enterprise platform engineering, with Proven experience designing and implementing technical governance frameworks in a large-scale or regulated environment.
At least 2 years working with AI/ML systems in production
Hands-on experience building LLM-powered applications or autonomous agents
Solid understanding of agentic patterns: tool use, RAG, memory models, multi-agent orchestration, HITL design
Experience with prompt engineering, evaluation frameworks, and LLM observability/monitoring
Ability to translate business requirements into scalable technical architectures – and then actually build them
Clear communicator who can work across technical and non-technical stakeholders
Experience with Claude Code / Cowork, Base44, or other Anthropic/OpenAI tooling
Nice to Have:
Background in ITSM, enterprise SaaS, or platform engineering
Experience building internal developer tools or enabling non-developer builders
Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001, IMDA).
5+ years of experience in system architecture or enterprise platform engineering, with Proven experience designing and implementing technical governance frameworks in a large-scale or regulated environment.
At least 2 years working with AI/ML systems in production
Hands-on experience building LLM-powered applications or autonomous agents
Solid understanding of agentic patterns: tool use, RAG, memory models, multi-agent orchestration, HITL design
Experience with prompt engineering, evaluation frameworks, and LLM observability/monitoring
Ability to translate business requirements into scalable technical architectures – and then actually build them
Clear communicator who can work across technical and non-technical stakeholders
Experience with Claude Code / Cowork, Base44, or other Anthropic/OpenAI tooling
Nice to Have:
Background in ITSM, enterprise SaaS, or platform engineering
Experience building internal developer tools or enabling non-developer builders
Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001, IMDA).
This position is open to all candidates.
