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Build and operate enterprise AI platforms and services using GenAI, LLMOps, Kubernetes, and Docker. Develop CI/CD pipelines, RAG services, and inference APIs while coaching teams on DevOps.
Who You’ll Work With Driving lasting impact and building long‑term capabilities with our clients is not easy work. You are the kind of person who thrives in a high‑performance, high‑reward culture – doing hard things,…
Lead architecture and delivery of AI-native Amazon Connect contact center solutions, building generative AI agents with Bedrock/Claude, orchestration patterns, and full-stack serverless systems while mentoring teams.
Design and maintain scalable data pipelines, ML model-serving infrastructure, and AI-enabling data systems (feature stores, vector DBs) for a healthcare-focused Public Benefit Corporation using Python, SQL, and cloud platforms.
Senior developer builds and tests RESTful APIs and AI-powered web apps using React, Node.js, and Next.js, with expertise in agentic AI, ML models, and cloud platforms like Azure.
Senior API developer specializing in building and maintaining RESTful APIs, AI-driven systems, and Progressive Web Apps using React, TypeScript, Node.js, and Next.js. Focuses on integrating AI agents, MLOps, and cloud platforms like Azure.
Designs, builds, and optimizes a global data platform and analytics infrastructure using Databricks, Azure Data Factory, and relational databases, enabling AI-driven solutions while ensuring governance, security, and performance.
Design and build AI/ML solutions for chemical and manufacturing clients, including time-series models, anomaly detection, and generative AI systems, deployed on cloud platforms.
Lead the end-to-end design, build, and deployment of a large-scale Agentic AI platform for telecom networks, coordinating product, architecture, and engineering teams while integrating with OSS/BSS, NMS, and cloud-native infrastructure.
Forward Deployed Engineer designing, building, and supporting AI applications on multi-cloud platforms (GCP, AWS, Azure), using services like Bedrock, Gemini Enterprise, Kubernetes, and Terraform with strong emphasis on LLMOps and Agentic Workflows.
The Chief AI Architect at National Bank of Canada defines and evolves the bank's enterprise AI architecture strategy, roadmap, and reference architectures to enable AI adoption while ensuring security, regulatory compliance, and risk management.
Lead AI and data science projects for a large insurer, building ML and generative AI solutions to drive business insights and strategic decisions while mentoring junior team members.
The Azure Cloud Platform Engineer will design and implement cloud infrastructure for data and analytics workloads using Terraform and Azure DevOps. The role requires experience with Azure services like Databricks and Data Factory, and involves collaborating with teams to support advanced analytics and AI solutions.
Azure Cloud Platform Engineer designing and maintaining Azure cloud infrastructure for data and analytics workloads using Terraform, Databricks, and IaC for a federal government department in Canberra.
Build and deploy AI-native data infrastructure at Apple scale, designing LLM agents, retrieval systems, and evaluation pipelines to transform how users access iCloud content across devices.
Builds and operates AI-driven agentic systems to automate SRE workflows (incident response, root cause analysis, SLO tracking) while maintaining hands-on production reliability for an AI enterprise company.
Designs and builds scalable cloud-native AI/ML and GenAI infrastructure for Toyota Financial Services, focusing on MLOps/LLMOps, GPU-accelerated compute, and secure model deployment at enterprise scale.
Lead AI engineering for a global pest control/environmental services company, designing and scaling production-grade genAI, multi-agent workflows, and automation systems. Focus on cloud-native LLMOps, platform architecture, and mentoring teams to deploy AI solutions across business functions.
Leads AI architecture and development of agentic/Generative AI systems, including LLM-powered agents, RAG pipelines, and multi-agent workflows, while mentoring engineers and collaborating cross-functionally to deliver scalable, production-grade solutions.
Lead Data Engineer builds and optimizes scalable data pipelines, AI/ML solutions, and cloud-native architectures to unify ASCO’s enterprise data for AI, analytics, and operations, ensuring high performance, cost efficiency, and operational reliability.
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