Pfizer · Bothell, WA

Salary
$300,100–$500,100from the description
Posted
Jul 16, 2026
Location
Bothell, WA
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A senior engineering leadership role responsible for building and operating the core AI infrastructure stack at a large pharmaceutical company — spanning LLM gateway and model serving, compute provisioning, MLOps pipelines, and the runtime layer for autonomous agentic AI systems. The role leads four engineering pods and requires deep hands-on experience with enterprise-scale ML platform infrastructure, including regulated-environment compliance (GxP) and multi-cloud architecture. Suited to a seasoned platform engineering leader with a strong MLOps and AI infrastructure background.

Principal level · 12+ years · New York-Newark-Jersey City, NY-NJ-PA · Full-time

Must have (11)
MLOpsLLM gatewaymodel serving infrastructuremulti-model routingTerraformAzure, AWS or GCPInfrastructure as Codeproduction monitoringaccess controlencryption and securityGxP compliance
Nice to have (4)
agentic AI infrastructurespeculative decodingSLURM or LsfHPC

“or” means any one of them counts — you don't need all of them.

Posted 2 times — it's one opening, so apply once.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

What gives you an edge
MLOps8%Terraform11%

Rare in this occupation — lead with these, and say what you built with them.

What the occupation pays Median $220,035 (middle half $175,731–$291,850). This posting is about at that midpoint.

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (9)

This is a 'Head of' people-management role owning four engineering pods with direct reports, hiring authority, and org-wide platform scope — classified as 11-3021 (Computer and Information Systems Managers). However, the JD emphasizes deep hands-on architectural ownership and the role is described as building infrastructure directly, making 15-1252 a credible runner-up.

The posting lists multiple locations (including Tampa, FL with a separate salary band of $270,100–$450,100). The primary/default salary range of $300,100–$500,100 is used here; the CBSA is not definitively stated. Pfizer's headquarters (New York metro) is used as the default CBSA, but the actual work location may differ.

The title 'Head of AI & Agentic Platform Engineering' carries no standard seniority level word, but the org-wide scope (four pods, enterprise-wide platform, direct reports) and the framing of the role as a strategic capability owner clearly place it at the Principal/executive band.

7+ years in AI/ML platform/MLOps roles is stated as a sub-requirement within the 12+ years overall experience gate; both are captured (the overall years minimum of 12, the years demanded of 7 on the AI/ML platform skill).

Multi-cloud requirement names Azure, AWS, and GCP together — Azure is listed as the primary skill with AWS and GCP as alternatives, reflecting that all three are named in the same requirement.

HPC support is explicitly flagged in the JD as 'preferred, not required' — listed accordingly.

Agentic AI infrastructure, agent orchestration, KV cache management, speculative decoding, and SLURM/LSF all appear under the 'Preferred Qualifications' section and are marked accordingly.

The role explicitly requires experience in regulated pharmaceutical environments with GxP controls and audit trail obligations — captured as a hard gate.

Ignored 4 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI/ML platform engineering, compute provisioning, agent orchestration, KV cache management.

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