Senior Engineer 2, 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. Thats why we need youto 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.

Join us as a Senior Engineer 2 Applied Artificial Intelligence and youll be part of a culture that welcomes diversity thinks differently to solve problems works collaboratively as one team and delivers meaningful innovations that impact peoples lives.

How you will make an impact

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 applicationsincluding 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.

In this role youll have the opportunity to:

• Build AI applications such as enterprise copilots search assistants document intelligence and generation tools workflow-automation agents predictive models decisionsupport 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 softwareengineering 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 datasecurity frameworks including RBAC Purview and related governance tools
• Ensure all AI systems are reliable scalable and secure and that they comply with dataclassification rules privacy requirements and AI governance policies

Key Skills

• Applied AI/ML engineering
• Prompt engineering & grounding techniques
• Generative AI & LLM integration (Azure OpenAI OpenAI Anthropic AWS Bedrock)
• Enterprise data integration (SharePoint data lakes document repositories)
• RAG architectures vector databases and semantic search
• Cloud and API application development (Azure/AWS/GCP)
• Python engineering
• MLOps / LLMOps (monitoring logging versioning observability cost optimization)
• Securityaware engineering (RBAC Purview guardrails)
• Responsible AI governance explainability and dataclassification frameworks
• Business problemsolving & systems thinking
• Strong stakeholder communication and crossfunctional collaboration

Preferred Experience

• Experience with RAG pipelines vector databases and semantic search systems
• Exposure to Azure OpenAI Copilot Studio LangChain LlamaIndex or similar AI frameworks
• Familiarity with MLOps platforms such as MLflow SageMaker Azure ML or Databricks
• Experience working in regulated or datasensitive environments (e.g. pharma healthcare finance)
• Knowledge of AI governance Responsible AI model explainability and dataclassification standards
• Experience building enterprise copilots agentic AI systems or intelligent automation solutions

To succeed in this role youll need:

• Bachelors degree in Computer Science Engineering Data Science or related field with at least 8 years of experience in software engineering data engineering or applied AI engineering (An equivalent combination of experience and education may be considered)

• Strong proficiency in Python is required

• Experience building and deploying applications using LLM APIs and AI solutions in cloud environments (Azure AWS or GCP)

• Experience in Applied AI/ML & Prompt Engineering Generative AI & LLM Integration Enterprise Data Integration API & Cloud Application Development and Security-aware Engineering

• Hands-on experience with ML frameworks (PyTorch TensorFlow scikit-learn)

• Strong understanding of data engineering fundamentals APIs and distributed systems

• Experience with RAG architectures vector databases and semantic search is preferred

• Exposure to Azure OpenAI Copilot Studio LangChain LlamaIndex or similar frameworks is preferred

• Familiarity with MLOps platforms (MLflow SageMaker Azure ML Databricks) is preferred

• Experience in regulated or data-sensitive environments (pharma healthcare finance) is preferred

• Familiarity with AI governance responsible AI model explainability and data classification is preferred

• Experience building enterprise copilots or agentic AI solutions is preferred

In return we offer you:

• Full and comprehensive benefit program including an Employee Stock Purchase Program and 401(k) matching.

• Opportunities to grow in a culture that prioritizes learning development and progression through in-house programs and tuition reimbursement.

• A collaborative innovative team that works as one to amplify your impacton your career the work you do and patients lives.

The most likely base pay range for this position is $116K - $162K per year. Several factors such as experience tenure skills and particular business needs will determine an individuals exact level of compensation. Base salary is only one element of employee compensation at Halozyme. Total compensation could include bonuses sales incentives and equity awards.

Halozyme Inc. is an Equal Employment Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race color religion sex sexual orientation gender identity national origin age protected veteran or disabled status or genetic information.

Accessibility and Reasonable Accommodations:

Halozyme is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during our application process. If you need assistance or accommodation due to a disability contact Human Resources at .

To view all our open positions please visit our career page. Additionally our benefit offerings can be found here.