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Role Overview We are seeking a Lead Forward Deployed AI Engineer to architect and deliver enterprise-scale AI transformation programs. This role combines deep technical expertise with solution architecture, delivery…
Lead SRE focused on designing and implementing AI-driven solutions for observability, intelligent alerting, and automation in fintech applications, ensuring reliability and scalability of AI-powered infrastructure.
Mid-Level AI Application & Cloud Operations Engineer 1. Position We are seeking mid-Level AI application & Cloud operations engineer to support the operation, stability, performance, and security of enterprise…
Sydney Location / Hybrid Working Model Seeking AWS AI SME Join the AI Mission with Us! At Westpac, we're not experimenting with AI. We're engineering it into the fabric of one of Australia's largest and…
The Senior Data Scientist will transform operational data into actionable insights by developing dashboards and implementing GenAI solutions like RAG and structured extraction. The role involves end-to-end delivery, stakeholder management, and mentoring team members on data modeling and analytics standards.
MLOps + DevOps Engineer responsible for operating an AI-native platform with agentic systems, ML workloads, and backend services on AWS. Core technologies include AWS (EKS, Lambda, Bedrock, SageMaker), Kubernetes, Kafka, Terraform, and observability stacks like Grafana, Prometheus, and OpenTelemetry.
Beacon AI is seeking Cloud and ML Infrastructure Engineers to build and maintain scalable AWS infrastructure and LLM platforms for aviation systems. The role involves designing RAG pipelines, managing model inference, and ensuring secure, high-performance deployments using tools like AWS, Python, and LangChain.
Designs and maintains AWS cloud infrastructure for a GenAI platform, focusing on deployment, security, and scalability of AI agents using Python/Node, Terraform, and DevOps practices.
AI Architect responsible for designing and governing the end-to-end LLM Intelligence Engine architecture (RAG, agents, vector DBs) for a logistics/supply chain group, coordinating with hyperscalers and vendors to ensure scalable, cost-efficient AI foundations.
Designs and leads enterprise-scale AI/ML and Generative AI solutions, focusing on LLMs, RAG architectures, and cloud-based deployments while mentoring teams and ensuring governance.
AI/ML Engineer designing and deploying end-to-end LLM and RAG pipelines, MLOps workflows, and data integration systems on AWS (SageMaker, Bedrock, Lambda, EKS) for enterprise clients in regulated industries.
*MUST BE ABLE TO OBTAIN PUBLIC TRUST* Description We are seeking a highly experienced Web Application Developer to serve as a technical leader, client liaison, and AI-enabled solutions engineer. This role requires a…
Develop, fine-tune, and deploy LLMs and ML systems for a B2B SaaS org-chart platform, building RAG pipelines, MCP servers, and Python microservices integrated into the web and cloud stack.
Back-end developer integrating generative AI into the Cards API team at National Bank of Canada, building RESTful microservices on AWS using Golang or Java in an Agile Scrum environment.
Principal Security Engineer leading application security, AI security, and security architecture across AWS cloud platforms and modern application stacks, integrating security into CI/CD pipelines and establishing AI security governance.
Principal Engineer designing, building, and deploying .NET/C# applications and AWS-based microservices. Lead architecture decisions, develop Terraform modules, and integrate Amazon Bedrock into the platform.
Senior Forward Deployed Engineer owns full client engagements, scoping and delivering AI/cloud solutions end-to-end while managing scope, risks, and expansion opportunities independently.
Project description We are looking for two Senior AI Engineers to join the project, where the team is building an AI platform with agentic capabilities and knowledge-graph-based solutions. The team currently consists…
Builds and deploys production-grade AI systems using LangChain/LangGraph, focusing on RAG, agentic workflows, and LLM-powered applications. Translates AI architectures into scalable, observable, and secure cloud-native solutions with Kubernetes, vector databases, and observability tools.
Builds scalable backend services, data pipelines, and infrastructure for a fintech commodities trading firm, enabling data-driven decisions and product innovation.
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