
Enterprise IT Architect Agentic AI
2 weeks ago
Role Overview:
We are looking for a visionary Enterprise IT Architect to lead the transformation of our IT organization into an Agentic AI-driven powerhouse. This individual will architect modern, scalable, AI-native IT platforms that optimize operations, drive automation, and showcase how next-gen IT can innovate at scale. You will work across infrastructure, applications, data, security, and operations to infuse agentic capabilities into the fabric of enterprise IT.
Here is how, through this exciting role, you will contribute to BMC's and your own success:
Architect AI-native IT Systems : Design modern enterprise architectures that embed autonomous AI agents across IT functions including operations, service management, monitoring, and security.
Enable Agentic AI Use Cases : Translate IT goals into agentic AI use cases across ticket triage, auto-remediation, provisioning, governance, and user support.
Drive Platform Modernization : Lead the modernization of legacy IT platforms to be cloud-native, API-first, and AI-ready.
Champion Automation & Observability : Implement intelligent automation, real-time observability, and self-healing capabilities using LLMs, agents, and RPA.
Collaborate Cross-functionally : Partner with engineering, security, infrastructure, and product teams to ensure seamless integration of AI agents with enterprise systems.
Evaluate and Adopt Technologies : Assess AI toolkits, orchestration frameworks, and multi-agent systems for enterprise applicability.
Strategic Roadmapping : Contribute to the roadmap for AI transformation in IT aligned with business outcomes and goals
Security and Governance : Ensure that AI-driven architectures meet enterprise-grade standards for risk, compliance, and governance.
To ensure youre set up for success, you will bring the following skillset & experience:
Mandatory Skills :
10+ years of experience in enterprise IT architecture, with 3+ years in AI
Proven experience architecting solutions involving AI agents, cloud platforms (AWS, Azure, GCP).
Deep understanding of AI orchestration frameworks, LLMs, agent stacks (e.g., AutoGen, LangChain, CrewAI), and observability tools.
Experience designing IT solutions with resilience, security, and scale in mind.
Strong knowledge of ITIL, SRE principles, DevOps, and enterprise systems (ERP, identity, asset management, etc.).
Passion for innovation, continuous improvement, and being customer-zero for AI-driven IT.
Preferred Skills :
Familiarity with agent simulation environments and feedback loops.
Exposure to enterprise use of generative AI, vector databases, and cloud-native ML pipelines.
Strategic mindset with the ability to balance innovation with risk, cost, and governance.
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