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AWS Agentic AI call for proposals - Fall 2026

Artificial Intelligence, Human-Computer Interaction, Machine Learning and research award from Amazon Research Awards

Apply by Thursday, Nov 5 at 07:59 UTC

About

Supports agentic AI research and open-source tools, including multi-agent collaboration, scientific discovery, autonomous trajectory verification, and customization through post-training or optimization of prompts, tools and agent scaffolding. Research may address safe agent behavior, data integration, enterprise operation and human–AI collaboration. Submit a scientific proposal using the ARA template, encouraged to be no more than four pages excluding appendices. Decisions are expected in February 2027.

Applications close on 4 November 2026 at 11:59pm Pacific Time.

Eligibility

Career stage: Not stated

Apply directly

Covers: Published averages are no more than USD 70,000 in unrestricted funds and USD 50,000 in AWS credits; these are averages, not individual award caps. One-time institutional gift; proposed budgets exclude administrative overhead.

Host location: Worldwide

Researchers worldwide may apply, subject to US sanctions/export rules. The programme excludes Cuba, Iran, Syria, North Korea, Crimea, Luhansk and Donetsk, and other prohibited jurisdictions.

Eligibility sourceSource 2Source 3

Reviewed Oct 6, 2026. Check the funder’s full conditions before applying.

Full-time faculty at an accredited academic institution or permanent researchers at a legally recognised non-governmental nonprofit. One primary-PI proposal per call period; co-PIs must also qualify. Amazon employment/contracting in the previous 12 months, specified household conflicts and Amazon cloud-procurement authority disqualify applicants. Government employees are excluded except university employees. Applicants must meet age-of-majority and programme rules.

Topics

agentic AIopen-source toolsmulti-agent collaborationscientific discoveryautonomous trajectory verificationpost-trainingagent scaffoldinghuman–AI collaboration

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Source: amazon.science