Job Description

Role Barcelona onsite - 3 days at office/2 days at home

It currently takes over 10 years and $1.3Bto develop a drug. More than 70% of that investment goes into clinical trials, yet only ~10% of candidates make it from Phase I to approval.

Evinova—a new health-tech business within the AstraZeneca Group—is here to change the math. We use advanced algorithmsand GenAIto aim high: boosting clinical trial success by 20%, cutting development time by 3 years, and halving study costs.

We are looking for a skilledAssociatePrincipalAISolutions ArchitectorPrincipalAISolutions Architectwho operates at the intersection of Data Science and Business Strategy.You will act as a forward-deployed technical leader,with strong expertise in Data Science and Agentic-AI,spendingpart ofyour time directly facing clients to translate complex pharma business challenges into actionable, high-ROI AI roadmaps and technical architectures.

WHAT THE ROLE INVOLVES

AI Opportunity Identification

• Analyse business processes, alsoleveragingAI methodologies,tohighlightareas where AI can add real value.

• Conduct rapid, ad-hocAIanalyses on client data to prove ROI andvalidatebusiness cases.

Communication & Stakeholder Management

• Act as anadvisor and the face ofEvinova'stechnical capabilities to clients.You willengagewithtop-10Pharma partners and explain complex technical topics clearly to non-technical business senior stakeholders.

Prototyping & Solution Design

• BuildAI prototypes (Agentic-AI,LLMs,Machine Learning, NLP,Optimization,etc.)and advanced prompt-engineeringto test ifanhypothesishas value.

• Supportearly versions ofan AIsolution (PoCsandMVPs),tovalidatethe approach before we build the full system.

Implementation& Delivery

• You willleveragecodingassistantslike Claude CodeorCursor towriteclean, organized codethat engineering teams can easilymaintain

• Supportthe technical delivery of the final solution to ensure it works smoothly with existing cloudsystems(eg, AWS) and enterprise architectures

• You will collaborate in a multidisciplinaryenvironment to align AI initiatives with businessobjectives

SKILLS AND CAPABILITIES NEEDED

Client Engagement

• Client-Facing Experience:Background in applied AI consulting and client-facing experience You have a proventrack recordof acting as a trusted advisor to external clients or partners.

• Communication:Excellent verbal and written communication skills with experience presenting to executive leadership and partners You excel at translating complex technical architectures into clear business value for non-technical senior stakeholders.

• End-to-End Delivery:Experience identifyinga business need, proposing ascalable system architecture, and delivering itYou have a proventrack recordof developing creative and novel AI solutions that have driven significant business impact

Business & Strategy Acumen

• Strategic Problem Solving:Strong Business Acumen Youare willingto developa deep understanding ofoperations, R&D workflows,and KPIs within theLife Sciences andTop-10Pharma industry.

AI Architecture & Technical Toolkit

• AI Domain Expertise:Solid understanding of (agentic) AI concepts, Large Language Models (LLMs), Generative AI,andagenticframeworks (eg,RAG,agentic design patterns,LangChain,LlamaIndex,Google GenAI SDK,etc.)

• Rapid Prototyping (Python):Proficiencyin Python (Pandas, NumPy, Scikit-learn,PyTorch,HuggingFace,etc.) to build high-qualityPoCsand MVPs.

• GenAI Development:You are proficient with Cursor, Claude Code, or similar tools to accelerate development

Date Posted

30-abr-2026

Closing Date

27-may-2026

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.