Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Designs and optimizes power architecture for next-gen custom SoCs, balancing performance, thermal constraints, and power delivery to enhance Google’s hardware infrastructure for AI and cloud services.
Manage maintenance agreements, cost control, and procurement for a third-party data center site. Collaborate with cross-functional teams, support budgeting and financial reporting, and ensure vendor compliance.
Lead the design and deployment of production AI/ML and GenAI solutions—LLMs, agentic AI, RAG—on Databricks and major cloud platforms, establishing MLOps/LLMOps practices for enterprise clients.
Oversee data center maintenance agreements, cost control, contractor management, and procurement projects. Collaborate with cross-functional teams, manage budgets and vendor on-boarding, and support technicians with financial and process information.
The Senior Cloud Architect leads the design and implementation of complex, enterprise-grade multi-cloud and hybrid solutions. The role involves strategic guidance on cloud architecture, security, cost optimization, and the secure integration of enterprise AI platforms.
The Market Intelligence Analyst researches industry capacity and component costs to support supply chain negotiations for Google's AI and cloud infrastructure. The role involves cross-functional collaboration with engineering and finance teams to develop should-cost models and strategic supplier insights.
Lead AI infrastructure programs at Google, coordinating hardware and software teams to build and deploy next-gen TPU clusters and AI platforms for global scale.
Commodity Managers work with Engineering teams to make sure Google has the supplies and equipment to put into production the innovative products coming from our Engineering teams. As a Commodity Manager, you use your…
Designs and maintains high-performance Python applications for AI/ML use cases, focusing on scalable backend systems, APIs, and data pipelines while collaborating with cross-functional teams to optimize production systems and mentor developers.
Design, migrate, and optimize secure GCP environments for Israeli government and defense clients using Terraform, Kubernetes, and CI/CD pipelines.
Technical Program Manager at Google leading AI enablement and geo expansion programs, working with AI/ML tools, geo-spatial solutions, and data center/network infrastructure planning to scale AI capabilities.
Builds AI-powered full-stack applications by integrating ML models into scalable cloud-based systems, bridging frontend, backend, and DevOps workflows.
Design and evolve enterprise architecture integrating SAP S/4HANA, Google Cloud Platform, data platforms, and AI/ML tools into a secure, scalable ecosystem while leading architecture governance.
Designs and scales AI-native systems (LLMs, agentic workflows) as a senior architect, defining architecture standards and leading technical delivery for healthcare clients.
Implement hybrid and multicloud architectures, deploy AI-ready cloud platforms, and automate infrastructure with Terraform and CI/CD across Azure, AWS, and GCP for Kyndryl's enterprise clients.
Data Scientist designing and implementing end-to-end generative AI and LLM solutions, working across the full software development lifecycle with NLP/CV, Python, and cloud platforms (Azure, AWS, GCP).
The Generative AI Architect-Manager leads the design and development of enterprise-grade AI solutions, focusing on scaling agentic AI, RAG architectures, and secure deployment. This role involves managing project delivery, mentoring teams, and collaborating with clients to implement advanced data and AI strategies.
Designs and implements scalable, governed data architectures on GCP, translating business needs into technical solutions for enterprise data platforms, including data lakes, warehouses, and real-time processing systems.
This role involves building full-stack interfaces and dashboards for human-in-the-loop AI agent systems within Equinix's incubation team. You will design decision-making consoles and telemetry layers using React, Python/Java/TypeScript, and various AI agent frameworks to help the organization manage and trust its AI workforce.
The Forward Deployed Engineer designs and deploys enterprise-grade agentic AI solutions using Salesforce's Agentforce platform. This role involves building multi-agent workflows, architecting RAG-based data grounding systems, and integrating AI agents with legacy ERP and enterprise data systems.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
