Referso Jobs

Director, Agentic AI and Automation

Madrigal Pharmaceuticals · Posted Nov 9, 2026

Open

Conshohocken, Pennsylvania, United States
Full-time · Director
$221K–$270K per year
12+ years

Director, Agentic AI and Automation

Madrigal Pharmaceuticals · Posted Nov 9, 2026

Open

Conshohocken, Pennsylvania, United States
Full-time · Director
$221K–$270K per year
12+ years

Manager, AI & Research Computing Initiatives

Sigma Inc. (Sigma Systems, Inc.) · Posted Nov 8, 2026

Open

Boston, Massachusetts, United States
Hybrid
Contract · Manager

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Lead strategy, planning, and development of AI infrastructure and research computing initiatives for Boston University.

Responsibilities

Develop and drive the technical roadmap for AI-enabled research computing and infrastructure
Lead planning and capacity management for GPU computing, accelerators, and high-performance computing resources
Evaluate and recommend AI/ML infrastructure, containerized computing environments, and MLOps tools
Anticipate emerging requirements related to AI workloads, data pipelines, model training, and model-serving infrastructure
Provide technical guidance and expertise on AI infrastructure, research computing, and emerging AI technologies

Requirements

Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related technical field
Nice to have: university or academic research experience
Nice to have: HPC environment management
Nice to have: GPU clusters
Nice to have: NVIDIA GPUs

Skills

AI/ML infrastructure High-Performance Computing GPU computing

Lead Product Management Engineering

McKesson · Posted Nov 6, 2026

Open

Cork
€83K–€138K per year
10+ years

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Lead Technical Product Manager – Level 5 leading strategy, roadmap, and governance of McKesson’s unified AI platform built on Azure Machine Learning and Azure AI Foundry.

Compensation

€82,500 - €137,500

Responsibilities

Lead the product strategy, roadmap, and lifecycle management for a unified AI platform converging MLOps, Generative AI, and Agentic AI capabilities.
Translate emerging AI technologies, model advancements, and business demand into prioritized platform investments and delivery plans.
Drive developer experience as a product, creating self-service experiences, golden paths, reusable templates, SDKs, APIs, and onboarding journeys.
Define platform success metrics including adoption, platform reliability, time-to-first-model, developer productivity, and business outcomes.
Partner with data science, engineering, security, architecture, compliance, and business leaders to align platform capabilities with enterprise priorities.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline, or equivalent experience.

Skills

Product Management Platform Product Management

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