Senior AI Engineer- #AIDA
- Build end-to-end workflows using AI, software and automation solutions
30+ days
75 Aia Jobs - November 2026 - Urgent Hiring
Showing 75 jobs results for
"aia"
Senior AI Engineer- #AIDA
- Build end-to-end workflows using AI, software and automation solutions
21 days
Senior AI Engineer #AIDA
- Lead the end to end technical design of AI and Agentic AI solutions, ensuring alignment with enterprise architecture, security controls, and platform standards.
8 days
Senior AI Engineer #AIDA
- Lead the end to end technical design of AI and Agentic AI solutions, ensuring alignment with enterprise architecture, security controls, and platform standards.
8 days
AI FinOps Engineer- #AIDA
- Maintain a centralized framework to provide full visibility into Azure AI and GenAI consumption
30+ days
AI Platform Engineer #AIDA
- Support implementation and operation of Central AI Kitchen's shared Agentic AI Platform Services running on Red Hat OpenShift or equivalent container platforms.
13 days
AI Platform Engineer #AIDA
- Support implementation and operation of Central AI Kitchen's shared Agentic AI Platform Services running on Red Hat OpenShift or equivalent container platforms.
13 days
AI Platform Engineer #AIDA
- Support implementation and operation of Central AI Kitchen's shared Agentic AI Platform Services running on Red Hat OpenShift or equivalent container platforms.
1 day
Senior AI Engineer- #AIDA
- Build end-to-end workflows using AI, software and automation solutions
30+ days
- Align Value Pool and project-level AI solutions with enterprise architecture principles, security requirements, governance standards and approved platform capabilities, while enabling the responsible adoption of emerging AI technologies.
8 days
- Align Value Pool and project-level AI solutions with enterprise architecture principles, security requirements, governance standards and approved platform capabilities, while enabling the responsible adoption of emerging AI technologies.
8 days
- Apply AI, ML, and LLM-based tools to solve real-world operational and reliability challenges
30+ days
- Own the architecture, technical design and roadmap for assigned AI platform domain(s) or capability areas, ensuring alignment with the enterprise AI platform strategy.
30+ days
- Define and maintain the enterprise AI platform architecture, technology roadmap and reference architecture for the Central AI Kitchen (CAK) or equivalent AI platforms.
30+ days
- Responsible for designing, building, and operating scalable data ingestion, transformation, and serving capabilities across a modern hybrid cloud data platform, ensuring solutions are reliable, secure, reusable, and aligned to enterprise architecture and governance standards.
30+ days
- Design end-to-end AI solutions that are robust, scalable, and span data ingestion, model deployment, API orchestration, and business system integration across hybrid cloud and on-prem environments
30+ days
- Responsible for managing MLOps workflows, tools, and production support processes for ML solutions.
30+ days
- Responsible for designing, building, and operating scalable data ingestion, transformation, and serving capabilities across a modern hybrid cloud data platform, ensuring solutions are reliable, secure, reusable, and aligned to enterprise architecture and governance standards.
21 days
- Responsible for managing MLOps workflows, tools, and production support processes for ML solutions.
30+ days
- Own the architecture, technical design and roadmap for assigned AI platform domain(s) or capability areas, ensuring alignment with the enterprise AI platform strategy.
25 days
- Define and maintain the enterprise AI platform architecture, technology roadmap and reference architecture for the Central AI Kitchen (CAK) or equivalent AI platforms.
25 days
- Own the FinOps framework for Central AI Kitchen, providing full visibility and control of cloud, on-prem OpenShift, GPU infrastructure and GenAI token consumption
25 days
- Own the FinOps framework for Central AI Kitchen, providing full visibility and control of cloud, on-prem OpenShift, GPU infrastructure and GenAI token consumption
25 days
- Own the architecture, technical design and roadmap for assigned AI platform domain(s) or capability areas, ensuring alignment with the enterprise AI platform strategy.
3 days
- Define and maintain the enterprise AI platform architecture, technology roadmap and reference architecture for the Central AI Kitchen (CAK) or equivalent AI platforms.
3 days
- Own the FinOps framework for Central AI Kitchen, providing full visibility and control of cloud, on-prem OpenShift, GPU infrastructure and GenAI token consumption
3 days
- Own the FinOps framework for Central AI Kitchen, providing full visibility and control of cloud, on-prem OpenShift, GPU infrastructure and GenAI token consumption
1 day
- Responsible for designing, building, and operating scalable data ingestion, transformation, and serving capabilities across a modern hybrid cloud data platform, ensuring solutions are reliable, secure, reusable, and aligned to enterprise architecture and governance standards.
Today
- Operate proactive monitoring, outage detection, and incident response to minimize downtime and operational risk
30+ days
- The AI Value Realization Team is recognised as a trusted strategic partner to AIDA leadership, business units and enterprise governance forums.
29 days
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