Currently tracking 995 active AI roles, up 64% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $196k).
| Title | Stage | AI score |
|---|---|---|
| Deep Learning Architect, AWS Gen AI Innovation Center This role involves designing, implementing, and fine-tuning state-of-the-art Generative AI solutions for AWS customers, focusing on real-world problem-solving and production deployment. The architect will collaborate with customers and internal teams to understand business needs, develop proof-of-concepts, and guide adoption patterns. | AgentPost-train | 8 |
| Prototyping Architect, PACE AWS Solutions Architect role focused on prototyping with Agentic AI, Machine Learning, Deep Learning, Generative IA, IoT, and Serverless Architectures. The role involves architecting and developing solutions to demonstrate the art of the possible to customers, with a focus on rapid, time-boxed prototyping engagements. | Agent |
| 7 |
| Principal DevAx Solutions Architect, AGS Tech Field LATAM PACE This role focuses on accelerating customer adoption of AI/Agentic applications by helping them build and scale solutions using AWS services like Amazon Bedrock and Frontier Agents. The Principal DevAx Solutions Architect acts as a trusted advisor, guiding customers through the full AI development lifecycle and influencing AWS service roadmaps based on customer needs and market trends. | Agent | 7 |
| Sr. Generative AI Specialist Solutions Architect, Brazil Senior Generative AI Specialist Solutions Architect for AWS Brazil. The role involves helping clients build and deploy GenAI applications using Amazon Bedrock and SageMaker, fine-tuning and creating GenAI models, and enabling enterprise clients to leverage these models for end-user applications. The position also includes influencing product direction and helping clients enter new markets with GenAI. The role requires deep technical expertise in multimodal generative image technologies, fine-tuning, and prompt engineering, with a preference for strong ML development experience and experience building applications and designing architectures. The individual will act as a subject matter expert, evangelize AWS GenAI services, partner with internal teams, and provide customer feedback to product and engineering teams. | AgentPost-train | 7 |