Associate Director, IT Systems Engineering

Gilead Sciences

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Raleigh, NC
Salary
$168,980–$218,680 / yr
Posted
24 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $206k
This role $194k
$146k most similar roles pay here $266k

This role pays less than 55% of similar roles. Most pay $157,262–$254,487 — the shaded band above. At the midpoint, this role pays about $194k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About Gilead Sciences

Gilead Sciences, Inc. is a leading American biopharmaceutical company specializing in discovering, developing, and commercializing innovative medicines for unmet medical needs.

Gilead Sciences currently has 22 open roles on FindRole.

Listed pay typically runs $169,320–$219,120 across 21 roles with salary data.

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View all roles at Gilead Sciences

At a glance

TL;DR · Associate Director, IT Systems Engineering

Assoc Director, IT Systems Engineering leads the engineering of a scalable, secure platform infrastructure for self-serve data, AI, and agentic AI systems. This role involves defining target-state architecture based on data mesh principles and regulatory requirements while establishing standards for semantic layer services, LLM gateways, and API-based access. The position requires building out the agentic AI stack, including runtimes, orchestration, and evaluation harnesses, while managing infrastructure as code via Terraform and CI/CD pipelines. Key technical components include AWS services like S3, Glue, EKS, and Bedrock, alongside Databricks tools such as Unity Catalog and MLflow. The candidate will manage vendor partners, oversee FinOps for AI workloads, and ensure GxP and Part 11 compliance. This role solves complex data governance and infrastructure challenges within a highly regulated biopharmaceutical environment to enable automated, real-time decisioning.

What you'll do

  • Define and evolve the target-state architecture for self-serve data, AI, and agentic AI platforms.
  • Establish enterprise standards for data products, semantic layer services, and LLM gateways.
  • Lead the engineering of scalable infrastructure on AWS and Databricks platforms.
  • Develop technical frameworks for RAG, context enrichment, and automated tool exposure.
  • Manage platform operations including FinOps, SRE practices, and GxP-compliant change management.
  • Oversee vendor partnerships to ensure high standards for quality, velocity, and operability.
  • Drive build/buy decisions through rigorous vendor evaluation and cost analysis.
  • Track and report platform health metrics such as DORA and reliability SLOs to leadership.

What we're looking for

  • 10+ years of experience in platform engineering, data engineering, or enterprise data/AI platform architecture.
  • 3+ years of experience leading engineering teams or major platform programs.
  • Expertise in AWS services including S3, Lake Formation, Glue, EKS, Bedrock, Kinesis/MSK, IAM, and Terraform.
  • Experience with Databricks technologies including Unity Catalog, Delta Lake, Delta Live Tables, and MLflow at enterprise scale.
  • Proven experience building agentic AI or LLM-powered systems involving RAG pipelines, orchestration, and evaluation.
  • Proficiency in SQL and Python (or Scala/Java) to build resilient, scalable data pipelines.
  • Experience designing secure, governed cloud architectures with fine-grained access control and auditability.
  • Experience in biopharma or regulated domains with knowledge of GxP and 21 CFR Part 11 (preferred); AWS or Databricks certifications (preferred).

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