Senior Specialist Decision Scientist

Job Title: Senior Specialist - Decision Scientist

GCL: D3

Introduction to role:

Are you ready to turn brand new AI into real-world outcomes that speed decisions build strategy and ultimately improve patients lives As a Senior Specialist you will be a hands-on technical leader who builds production-grade AI and ML solutions that power critical decisions across the enterprise.

You will join a fast-moving collaborative team that connects data engineering and product thinking to solve complex problems at scale. From LLM-powered applications and RAG pipelines to robust MLOps you will translate ambitious ideas into reliable systems with measurable business value. Do you thrive on taking prototypes to production and making smart trade-offs that balance innovation with reliability

Accountabilities:

Develop intelligent systems and machine learning models by building testing and deploying them. These models improve analytics capabilities and produce measurable business outcomes. Priority is given to solutions the business adopts and uses.

Hands-On Engineering: Write production-quality code build APIs and data pipelines and integrate AI workflows using modern engineering practices so solutions are secure maintainable and scalable.

Generative AI and LLMs: Develop LLM-based applications RAG solutions agents and prompt strategies; evaluate models and orchestrate AI applications to deliver accurate timely and trusted insights.

Productionization and MLOps: Move solutions from experimentation to reliable production with CI/CD testing versioning system tracking insight gathering and operational controls that keep systems healthy over time.

Technical Architecture: Chip in to scalable secure architectures designed to handle machine learning tasks; make pragmatic technology choices that optimize performance cost and maintainability.

Data and Platform Integration: Partner closely with platform data engineering and decision science teams to ensure solutions have reliable data compute tooling and cloud infrastructure.

Technical Ownership: Own end-to-end technical delivery for prioritized initiatives translating organizational and data insights needs into robust builds and de-risking dependencies early.

Cross-Functional Collaboration: Collaborate alongside data scientists developers product groups and interested parties to deliver usable scalable solutions aligned to real business needs.

Continuous Improvement: Assess emerging AI technologies and engineering practices finding opportunities to improve performance reliability scalability and cost-effectiveness.

Responsible AI and Governance: Build solutions that meet security privacy information management and regulatory requirements and apply responsible AI practices where AI is deployed in regulated environments.

Essential Skills/Experience:

• 710 years of experience in software engineering machine learning engineering AI engineering data science engineering or a closely related technical field.

• Shown experience building and deploying production AI/ML applications rather than solely leading AI projects or teams.

• Strong programming skills in Python and familiarity with modern software engineering practices including Git testing APIs code reviews and CI/CD.

• Experience with machine learning frameworks and libraries such as PyTorch TensorFlow scikit-learn or equivalent.

• Hands-on experience developing generative AI / LLM applications including areas such as RAG embeddings vector databases prompt engineering agents model evaluation and LLM application integration.

• Experience deploying AI/ML solutions in at least one major cloud environment (Azure AWS or GCP).

• Practical experience with MLOps / LLMOps including model or application deployment monitoring evaluation versioning observability and automation.

• Experience working with data pipelines databases APIs and cloud-based data/analytics platforms.

• Ability to translate business and analytics requirements into practical technical designs and production-ready solutions.

• Strong understanding of software architecture scalability security reliability and performance considerations for AI workloads.

• Experience working collaboratively with data scientists data engineers software engineers product teams and business collaborators.

• Strong problem-solving skills and the ability to independently own technical workstreams from prototype through production.

Desirable Skills/Experience:

• Experience delivering AI/ML platforms and analytics products in cloud environments using modern MLOps or equivalent experience and LLMOps practices.

• Experience with Azure OpenAI OpenAI APIs Amazon Bedrock Google Vertex AI or equivalent enterprise AI platforms.

• Experience with orchestration and agent frameworks such as LangChain LangGraph Semantic Kernel or equivalent technologies.

• Experience with vector databases and retrieval technologies such as Pinecone Azure AI Search FAISS pgvector or equivalent.

• Experience building AI applications using Docker Kubernetes serverless architectures or other cloud-native technologies.

• Experience with AI evaluation frameworks model monitoring observability and techniques for improving model quality latency and reliability.

• Experience optimizing cloud and AI workload costs and performance including model selection inference optimization caching and architecture optimization.

• Experience working in pharma biotech healthcare or other regulated industries with an understanding of data privacy security compliance and AI/model governance.

• Familiarity with ethical AI approaches including model risk management explainability bias assessment data governance and human-in-the-loop approaches.

• Experience contributing to technical standards reusable AI components engineering guidelines or internal AI platforms.

• Ability to communicate complex technical concepts clearly to both technical and non-technical collaborators.

When we put unexpected teams in the same room we unleash bold thinking with the power to inspire life-changing -person working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Why AstraZeneca:

Here your AI craft directly accelerates discovery development and decision-making at global scale from freeing scientists to focus on breakthroughs to reimagining how the enterprise runs. You will work with modern cloud platforms emerging LLM technologies and a diverse network of experts who challenge ideas and build together. We value kindness alongside ambition encourage smart risks and give you the trust and accountability to ship meaningful systems that last. Expect rich learning access to strong tools and the chance to grow your career by solving intellectually stimulating problems that make a tangible difference for patients.

Call to Action:

Seize this opportunity to turn brand new AI into lasting impactapply your expertise to build what matters most and start crafting the future with us today!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race religion color national origin sex gender gender expression sexual orientation age marital status veteran status or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process to perform essential job functions and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Date Posted

Closing Date

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.