Associate Principal AI Solutions Architect - Evinova

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

It currently takes over

10 years and $1.3B

to 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 algorithms

and GenAI

to aim high: boosting clinical trial success by

20%

, cutting development time by

3 years

, and halving study costs.

We are looking for a skilled

Associate

Principal

AI

Solutions Architect

or

Principal

AI

Solutions Architect

who 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,

spending

part of

your 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

, also

leveraging

AI methodologies,

to

highlight

areas where AI can add real value.

Conduct rapid, ad-hoc

AI

analyses on client data to prove ROI and

validate

business cases.

Communication & Stakeholder Management

Act as a

n

advisor and the face of

Evinova's

technical capabilities to clients.

You will

engage

with

top-10

P

harma partners and explain complex technical topics clearly to non-technical business senior stakeholders.

Prototyping & Solution Design

Build

AI prototypes (Agentic-AI,

LLMs,

Machine Learning, NLP,

Optimization,

etc.)

and advanced prompt-engineering

to test if

a

n

hypothesis

has value.

Support

early versions of

an AI

solution (

PoCs

and

MVPs

)

,

to

validate

the approach before we build the full system.

Implementation

& Delivery

You will

leverage

coding

assistants

like Claude Code

or

Cursor to

write

clean, organized code

that engineering teams can easily

maintain

.

Support

the technical delivery of the final solution to ensure it works smoothly with existi

ng cloud

systems

(

eg

, AWS) and enterprise architectures

.

You will collaborate in a multidisciplinary

environment t

o align AI initiatives with business

objectives

.

SKILLS AND CAPABILITIES NEEDED

Client Engagement

Client-Facing Experience:

Background in applied AI consulting and client-facing experience

. You have a proven

track record

of 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: