Associate Principal AI Solutions Architect - Evinova
About this role
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:
Requirements
- identifying
- a business need, proposing a
- scalable system architecture
- , and delivering it
- .
- You have a proven
- track record
- of developing creative and novel AI solutions that have driven significant business impact
- .
- Business & Strategy Acumen
- Strategic Problem Solving:
- Strong Business Acumen
- . You
- are willing
- to develop
- a deep understanding of
- operations
- , R&D workflows,
- and KPIs within the
- Life Sciences and
- Top-10
- Pharma industry.
- AI Architecture & Technical Toolkit
- AI Domain Expertise:
- Solid u
- nderstanding of (agentic) AI concep
- ts, Large Language Models (LLMs), Generative AI,
- and
- agentic
- frameworks (
- eg
- ,
- RAG,
- agentic design patterns,
- LangChain
- ,LlamaIndex
- ,
- Google GenAI SDK,
- etc.
- )
- .
- Rapid Prototyping (Python):
- P
- roficiency
- in Python (Pandas, NumPy, Scikit-learn,
- PyTorch
- ,
- HuggingFace
- ,
- etc.) to build high-quality
- PoCs
- and 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.