1 month ago
Base Salary
$125k - $237k/yr
Responsibilities
- Collaborate with engineers, architects, data scientists, business system analysts, and product owners to understand requirements and deliver fit-for-purpose solutions.
- Design, develop, and maintain scalable AI-ready data solutions for diverse datasets supporting the pharmaceutical value chain.
- Integrate LLMs such as GPT and Claude for data mining, knowledge extraction, and automation of data-driven insights.
- Operationalize machine learning models through deployment, monitoring, and lifecycle management.
- Create data models that support graph analytics, semantic reasoning, and generative AI integration.
- Research and recommend tools, frameworks, and platforms for graph databases, vector stores, large language models, and agent-based solutions.
- Provide technical leadership and advise partners on emerging AI data technologies.
- Ensure compliance with AbbVie software development lifecycle policies and procedures.
Requirements
- Bachelor’s degree with 8 years of experience, master’s degree with 7 years of experience, or PhD with 3 years of related work experience.
- Experience with MLOps, LLM integration, Data Agents, Agentic Memory, Graph RAG systems, text mining, and unstructured data processing.
- Experience designing and building data pipelines, ETL/ELT processes, and data models.
- Proficiency with Python, SQL, and distributed data processing frameworks such as Spark.
- Experience with CI/CD practices, data quality controls, governance, and security considerations.
- A degree in Computer Science or a related discipline is preferred.
- Advanced degree, Neo4j and Elasticsearch experience, and AWS experience are preferred.
Benefits
- Comprehensive benefits include paid time off, holidays, sick leave, medical insurance, dental insurance, vision insurance, and a 401(k) for eligible employees.
- Eligible to participate in long-term incentive programs.
- The role has no travel requirement.
- The posting provides a yearly base-pay range of $124,500 to $236,500; individual compensation depends on factors including geographic location.
Tech Stack
Categories
Data EngineeringML Engineering
