Associate Principal AI Solutions Architect - Evinova

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 an advisor and the face of Evinova's technical capabilities to clients. You will engage with top-10 Pharma 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 an 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 existing cloud systems (eg, AWS) and enterprise architectures.

• You will collaborate in a multidisciplinary environment to align AI initiatives with business objectives.

• 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: Experience 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 understanding of (agentic) AI concepts, Large Language Models (LLMs), Generative AI, and agentic frameworks (eg, RAG, agentic design patterns, LangChain,LlamaIndex, Google GenAI SDK, etc.).

• Rapid Prototyping (Python): Proficiency 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.

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., 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.