Sr Manager, Data/AI Solution Architect

Scorpion Therapeutics; California (MO); Hybrid; USD 170,000 - 250,000; Full time

Job summary

Gilead is seeking a Senior Manager, Data/AI Solution Architect to drive the company’s enterprise AI strategy. The role focuses on designing and delivering AI and data solutions across HR, Compliance, and Legal functions from Foster City, CA.

You will lead cross-functional collaboration, build scalable models, and ensure governance and privacy standards. The ideal candidate has a strong background in data engineering and AI/ML, with hands-on experience in regulated industries and cloud platforms

Qualifications

• Bachelor's degree with 8+ years or Master's with 6+ years in data engineering, AI/ML, or related fields.
• Strong programming skills in Python.
• Experience with large-scale knowledge bases, cloud AI platforms (AWS), MLOps, and regulated industries such as pharma or biotech.

Responsibilities

• Partner with stakeholders and product owners to design and deliver AI/data solutions across HR, Compliance and Legal functions.
• Develop scalable AI models and retrieval-augmented knowledge bases.
• Automate document review workflows and engineer secure data pipelines.
• Oversee solution deployment through engineering teams and vendors.
• Establish evaluation frameworks and ensure data privacy/responsible AI compliance.
• Implement MLOps practices for monitoring and model improvement.

Skills

Python

Data engineering

AI/ML

MLOps

Knowledge bases

AWS

Regulated industries

Education

Bachelor's degree

Master's degree

Job description

Role: Senior Manager, Data/AI Solution Architect within Gilead's enterprise AI strategy, focusing on designing and delivering AI and data solutions across HR, Compliance, and Legal functions.

Responsibilities include partner collaboration with stakeholders and product owners, developing scalable AI models and retrieval-augmented knowledge bases, automating document review workflows, engineering secure data pipelines, and overseeing solution deployment through engineering teams and vendors. Additional duties encompass establishing evaluation frameworks, ensuring compliance with data privacy and responsible AI standards, and implementing MLOps practices for model monitoring and enhancement.

Requirements: Bachelor's degree with 8+ years or Master's with 6+ years in data engineering, AI/ML, or related fields; strong programming skills in Python; experience with large-scale knowledge bases, cloud AI platforms (AWS), MLOps, and regulated industries such as pharma or biotech.

Preferred qualifications include hands-on experience with LLMs, generative AI, and AI governance in highly regulated environments.

HighValue: focus on AI/ML application in regulated enterprise contexts, experience with enterprise knowledge bases, data pipelines, and model governance, and delivering solutions that automate policy review and compliance workflows.

WorkSetup: hybrid in Foster City, CA.