AI/MLOps Architect - R&D IT
AI summary of the role
Driscoll's is hiring an AI/MLOps Architect to design and operationalize the backbone for governed AI across R&D workflows including breeding, genomics, lab, phenotyping, sensory, and agronomy.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Define and evolve the reference architecture for AI and model operations across the R&D IT ecosystem.
- Establish repeatable patterns for model packaging, deployment, serving, evaluation, monitoring, retraining, rollback, and lifecycle governance.
- Design and implement the technical backbone for governed AI, including model registry patterns, evaluation flows, observability, lineage, auditability, and access controls.
- Design model-serving and inference patterns for different use cases, including batch, near-real-time, and interactive assistant workflows.
What you’ll bring
- 5+ years of experience in machine learning engineering, platform engineering, MLOps, cloud architecture, or adjacent technical roles supporting production AI/ML systems.
- Hands-on experience designing or operating model deployment and serving patterns in cloud environments.
- Strong experience with modern software and platform engineering practices, including CI/CD, containers, service reliability, versioning, observability, and secure deployment.
- Experience with Python and API/service integration patterns; working knowledge of SQL and data access patterns.
Technologies
MLOps · model serving · CI/CD · containers · Python · SQL · AWS · Docker · GitHub · infrastructure-as-code
About Driscoll's
Fourth-generation family-owned berry company; breeds, grows, and distributes strawberries, raspberries, blackberries, and blueberries across 48 countries via a proprietary grower-licensing model.
Private Late · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
About the Opportunity Driscoll’s is building an AI-assisted R&D capability that depends on trusted data, governed delivery patterns, secure environments, and production-grade model operations. This role sits within an emerging R&D IT function embedded in Global R&D and partners closely with Global IS, scientists, product leads, and engineers to define how AI is safely and repeatedly deployed across breeding, genomics, lab, phenotyping, sensory, and agronomy workflows. We are seeking an AI / MLOps Architect who can design and operationalize the backbone for governed AI at Driscoll’s. This role is responsible for the patterns, platforms, controls, and runtime operations that allow models and AI-enabled services to move from prototype to dependable production use. The ideal candidate combines strong architecture judgment with hands-on experience in MLOps, model serving, evaluation,
More from the job description
About the Opportunity Driscoll’s is building an AI-assisted R&D capability that depends on trusted data, governed delivery patterns, secure environments, and production-grade model operations. This role sits within an emerging R&D IT function embedded in Global R&D and partners closely with Global IS, scientists, product leads, and engineers to define how AI is safely and repeatedly deployed across breeding, genomics, lab, phenotyping, sensory, and agronomy workflows. We are seeking an AI / MLOps Architect who can design and operationalize the backbone for governed AI at Driscoll’s. This role is responsible for the patterns, platforms, controls, and runtime operations that allow models and AI-enabled services to move from prototype to dependable production use. The ideal candidate combines strong architecture judgment with hands-on experience in MLOps, model serving, evaluation, observability, lineage, and secure deployment. This is a hands-on architecture role for someone who enjoys building repeatable systems, reducing technical ambiguity, and creating a foundation that multiple R&D AI use cases can share. You will work closely with the AI Engineer, Product Owner, Full-Stack Engineer, data engineers, and domain partners to ensure AI solutions land on a common backbone rather than emerging as disconnected pilots. Driscoll’s Information Services (IS) department is responsib [... source excerpt omitted ...] Services (IS) function operates through a global structure and is organized in departments by IT expertise. This role is located at our corporate headquarters in Watsonville, CA. Responsibilities · Define and evolve the reference architecture for AI and model operations across the R&D IT ecosystem. · Establish repeatable patterns for model packaging, deployment, serving, evaluation, monitoring, retraining, rollback, and lifecycle governance. · Design and implement the technical backbone for governed AI, including model registry patterns, evaluation flows, observability, lineage, auditability, and access controls. · Partner with R&D IT, Global IS, and data/platform teams to ensure [... source excerpt omitted ...] ed by reliable, scalable, and measurable AI services. · Work with product and domain stakeholders to translate scientific workflows into durable operational patterns and platform requirements. · Contribute to roadmap planning, architecture reviews, vendor assessment, backlog shaping, and implementation sequencing. · Mentor engineers on deployment patterns, infrastructure tradeoffs, service design, evaluation, and operational excellence. · Communicate effectively, both verbally and in writing, with business and technical teams. · Domestic and international travel required up to 10%. · Represent Driscoll’s in an ethical and professional manner during all interactions with growers
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