$130,000 – $155,000
Listed on Extensis’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A senior technical leadership role designing enterprise AI infrastructure and platforms to enable scalable AI adoption across the organization. Suited for experienced architects who combine strategic vision with hands-on technical depth and can guide cross-functional teams through AI modernization.
Our summary, not Extensis’s wording. The full posting is on their site.
Skills this role names
- CrewAI
- Dell Boomi
- Elasticsearch
- Google Vertex AI
- LangChain
- LlamaIndex
- Make (Integromat)
- Milvus
- Mulesoft
- n8n
- OpenAI
- Pinecone
- Semantic Kernel
- UiPath
- Weaviate
- Zapier
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What they ask for
Required
- 8+ years in software engineering, cloud infrastructure, enterprise architecture, platform engineering, or data engineering
- Experience with LLMOps, MLOps, platform engineering, or internal developer platforms
- Experience designing or modernizing enterprise-scale technology platforms, cloud systems, or data platforms
- Strong understanding of AI infrastructure: LLM platforms, RAG, data retrieval, orchestration, APIs, monitoring, governance
- Hands-on experience with cloud platforms and modern AI tools
- Familiarity with orchestration and agent frameworks
- Experience with vector databases or search platforms
- Experience with automation and integration platforms
- Experience defining AI governance and responsible AI standards
- Experience integrating enterprise systems, data sources, and SaaS platforms securely
- Understanding of security, privacy, access control, data governance, and compliance for enterprise AI
- Ability to evaluate technologies and translate them into business recommendations
- Proven ability to lead technical strategy and influence cross-functional teams
- Comfortable balancing long-term architecture with near-term delivery
Nice to have
- Strategic systems thinker connecting architecture to business outcomes
- Hands-on prototyping and tool evaluation experience
- Comfortable operating in ambiguity and creating structure
- Strong technical judgment balancing innovation, speed, security, and reliability
- Collaborative across Engineering, IT, Security, Data, Legal, and business functions
- Pragmatic approach to enterprise AI integration and governance
- Curious and committed to staying current with AI infrastructure evolution