Senior Engineer , Applied Artificial Intelligence

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Welcome to an inspired career.

At Halozyme, we are reinventing the patient experience and building the future of drug delivery. We are passionate about the important work we do and constantly strive to do more. We embrace transformation and work hard to innovate for the future. We do this together, as One Team - we rise by lifting others up and believe in the power of working together for the collective win.

That s why we need you-to help us make a significant impact by taking on increasingly complex challenges, leaping beyond the status quo, advancing our mission and making our One Team culture thrive.

The Senior Engineer 2, Applied AI builds and deploys AI solutions that directly support business workflows across Commercial, Regulatory, Quality, Finance, Operations, and Corporate functions. This role focuses on turning real business problems into working AI applications-including copilots, retrieval-augmented generation (RAG) solutions, document generation, automation agents, predictive models and decision-support tools. The Senior Engineer 2, Applied AI works closely with business SMEs, Data Engineering, and the AI Governance team to ensure solutions are secure, compliant, explainable, and production-ready in a regulated life-sciences environment.

• Build AI applications such as enterprise copilots, search assistants, document intelligence and generation tools, workflow-automation agents, predictive models, decision support tools, and reusable AI components including prompt libraries and solution patterns
• Implement Retrieval-Augmented Generation (RAG) pipelines leveraging enterprise data sources such as SharePoint, data lakes, document repositories, and research systems
• Build and maintain endtoend AI/ML pipelines including data ingestion, feature engineering, model training, evaluation, deployment, and monitoring
• Integrate LLMs into business workflows using APIs and platforms such as Azure OpenAI, OpenAI, Anthropic, and AWS Bedrock
• Develop prompt-engineering, grounding, and evaluation frameworks to improve accuracy, reliability, and alignment
• Translate business use cases across domains (e.g., medical affairs, regulatory, commercial, finance) into functional AI prototypes and production-ready applications
• Collaborate with Data Scientists to scale models into production systems and with Product Owners/SMEs to refine requirements, acceptance criteria, and success metrics
• Deploy and maintain AI solutions on cloud platforms using modern APIs and software engineering best practices
• Implement MLOps and LLMOps capabilities including versioning, monitoring, logging, performance tracking, observability, and workload cost optimization
• Implement guardrails and controls to prevent data leakage, hallucinations, and misuse
• Integrate AI solutions with enterprise identity and data security frameworks, including RBAC, Purview, and related governance tools
• Ensure all AI systems are reliable, scalable, and secure, and that they comply with data classification rules, privacy requirements, and AI governance policies

• Prompt engineering & grounding techniques
• RAG architectures, vector databases, and semantic search
• Cloud and API application development (Azure/AWS/GCP)
• Security aware engineering (RBAC, Purview, guardrails)
• Responsible AI, governance, explainability, and data classification frameworks
• Business problem solving & systems thinking
• Strong stakeholder communication and cross functional collaboration

• Experience…