Multi-Agent AI Systems for Scientific workflows, interaction & efficient Autonomy internship
Multi-Agent AI Systems for Scientific workflows, interaction & efficient Autonomy internship
Cambridge
AI Research Intern – Multi-Agent Systems and Reasoning
Introduction to Role
AstraZeneca is a global,science-ledbiopharmaceutical business, with innovative medicines used by millions of patients worldwide. Our Summer Internship Programme offers undergraduate,master’s, and doctoral students a unique opportunity to experience the impact of advancedAI within real-worldscientific and research environments.
This internship sits within AstraZeneca’s data science and artificialintelligence research ecosystem, where advanced machine learning methods are explored tosupportcomplexscientific workflows. The role focuses on emerging multi-agent and agenticAI systems, a rapidly growing area at the intersection of machine learning, reasoning, and autonomous decision-making.
The intern will work alongside experiencedAI researchers and engineers to explore how multipleAI agents can interact, reason, and collaborate tosupportcomplex tasks relevant to scientific discovery and enterprise workflows. The exact project direction will be shaped closer to the start of the programme, allowing flexibility based on theintern’s background and evolving research priorities.
This role offers exposure to cutting-edgeAI research, practical experimentation, and collaborative problem-solving in a supportive and intellectually stimulating environment.
Accountabilities
During the internship, the successful candidate may:
- Explore and prototype concepts related to multi-agentAI systems, such as agent interaction, coordination, and task decomposition.
- Investigate reasoning, planning, or decision-making behaviours in agent-basedAI systems.
- Support analysis of efficiency,scalability, or robustness in AI systems involving multiple interacting components.
- Contribute to exploratory research on topicssuchas memory mechanisms, uncertainty handling, or lightweight model orchestration, depending on project focus.
- Assist with designing simple experiments, evaluations, or simulations to understand agent behaviour.
- Document findings and present insights to technical colleagues at the end of the placement.
The scope will be adjusted to match theintern’s skills and the programme duration.
Essential Criteria
- Currently undertaking an undergraduate,master’s, or doctoraldegree in Computer Science, ArtificialIntelligence, Machine Learning, Data Science, Engineering, Mathematics, Physics, or a relateddiscipline.
- Familiarity with machine learning or AI concepts, such as neural networks, optimisation, or algorithmic reasoning.
- Experience with programming, typically in Python (or similar languages), and basic software development practices.
- Interest in advancedAItopicssuchasagent-based systems, reasoning models, or autonomous systems.
- Must be at least 18 years of age at the time of application.
- Must have the right to work in the UK.
- Must return to education after the programme ends (students graduating before or during the programme are not eligible).
Desirable Criteria
- Prior exposure to multi-agent systems, reinforcement learning, or large language models.
- Experience with research projects, coursework, or open-source contributions related to AI or machine learning.
- Interest in applying AI to scientific,technical, or real-world problem domains.
AstraZeneca is where you can immerse yourself in groundbreaking work with realpatient impact. Trusted to work on meaningful projects, you will be empowered to takeonnew challenges while receiving the support and guidance needed to succeed. You will join a collaborative,inclusiveenvironment where curiosity, learning, and scientificexcellence are valued.
Wearecommitted to building an inclusive and equitable workplace. Applications are welcomed from all qualified candidates, and reasonableadjustments are available throughout the recruitment process.
Ready to make an impact? Apply now and join us on this excitingjourney.
#Earlytalent
Date Posted
26-Jan-2026Closing Date
09-Feb-2026Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.Join our Talent Network
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