Forward Deployed AI Engineering
- Work with APIs, databases, cloud infrastructure, enterprise applications, communications technologies, and other connected systems as required by the solution.
15 days
5,000+ Ai Engineer Jobs - October 2026 - High Salaries - Page 27
Showing 6,120 jobs results for
"ai engineer"
AI Engineering Lead, Automation and Platforms
- Ensure technical solutions are secure, maintainable, reusable and aligned with ETP’s longer-term digital operating model.
7 days
Internship AI Engineering
- Assist in building and improving AI workflows and automation to streamline repetitive tasks and improve productivity.
16 days
- Implement 3D sensor models (LiDAR, depth cameras, IMUs) with realistic noise profiles
22 days
- Process structured and unstructured data, and build foundational data infrastructure and knowledge bases for AI applications.
28 days
- Codify Solution Patterns - Standardize successful patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks
28 days
AI Engineering Lead, Automation and Platforms
- Translate business requirements and operational pain points into technical solution designs, delivery plans and prioritised build tasks.
10 days
261000356 AI Engineer – Global Rates, APAC Local Markets Sales - Trading
20 days
Senior Manager, AI Engineering
- Moving Together as One: Care for all starts within, with us as an organisation. We look out for one another, leaving no on behind as we grow.
9 days
AI Engineering Lead
- Collaborate with cross-functional teams to integrate AI technology into existing systems.
18 days
Senior AI Engineering Consultant
- Develop AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI frameworks.
11 days
Forward Deployed AI Engineering
- Work with APIs, databases, cloud infrastructure, enterprise applications, communications technologies, and other connected systems as required by the solution.
19 days
Internship - AI Engineering
20 days
- 4+ years as a software engineer, data engineer, or AI/ML practitioner writing technical design documents, data pipeline documentation, or API specifications
30+ days
Internship - AI Engineering
- AI-Enabled Application Development: Build and maintain software applications that integrate AI and machine learning capabilities into business processes.
20 days
- Optimize model inference for production environments (e.g., using TensorRT, ONNX, pruning, quantization).
30+ days
AI Engineering Graduate Talent Trainee
- Kubernetes Service Platform Development of managed Kubernetes services with GPU-native orchestration, intelligent scheduling, distributed workload management, cluster lifecycle management, observability, resource isolation, and support for large-scale AI training and inference workloads
4 days
AI Engineering Graduate Talent Trainee
- Kubernetes Service Platform Development of managed Kubernetes services with GPU-native orchestration, intelligent scheduling, distributed workload management, cluster lifecycle management, observability, resource isolation, and support for large-scale AI training and inference workloads
4 days
- Integrate enterprise applications through authenticated APIs and MCP where appropriate, selecting deterministic workflows, agents or conventional ML based on the problem.
1 day
Internship – AI Engineering - Analytics
6 days
22 days
Internship – AI Engineering - Analytics
- Agentic AI Development: Design and prototype autonomous “agentic” systems capable of analyzing production logs, diagnosing anomalies, and recommending corrective actions to engineers.
6 days
Technical Lead, Materials AI - Engineering
- Data & Search Engineering
11 days
Technical Lead, Materials AI - Engineering
- Production excellence: Set engineering standards for system design, testing, deployment and observability. Drive improvements in reliability, performance and cost, including the evaluation and productionisation of AI applications.
11 days
11 days
- Production excellence: Set engineering standards for system design, testing, deployment and observability. Drive improvements in reliability, performance and cost, including the evaluation and productionisation of AI applications.
11 days
Internship AI Engineering
- Assist in building and improving AI workflows and automation to streamline repetitive tasks and improve productivity.
25 days
AI Engineer - Hybrid - Work from Home
- Build RAG and knowledge-based AI applications.
30+ days