Referso Jobs

AI Strategy & Transformation Operations Leader

Ge · Posted Nov 9, 2026

Open

Greenville
Staff
$113K–$189K per year
7+ years

AI Strategy & Transformation Operations Leader

Ge · Posted Nov 9, 2026

Open

Greenville
Staff
$113K–$189K per year
7+ years

Executive Director of AI Platforms and Products

AdventHealth · Posted Nov 6, 2026

Open

Altamonte Springs, Florida, United States
Full-time · Director
$170K–$316K per year
10+ years

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Leads enterprise direction for AI-specific platforms and shared products, owning platform administration, product and service direction, and strategic relationships with vendors.

Compensation

$170,060.80 - $316,284.80

Responsibilities

Lead enterprise AI platform strategy and roadmap
Define AI product and platform reference patterns and integration requirements
Own product direction for shared AI platforms and capabilities
Build and lead a high-leverage AI-first team
Manage budgets, licensing, capacity, and resourcing

Requirements

Master's degree in Information Technology, Computer Science, Information Systems, Engineering, or a closely related technical discipline

Skills

enterprise AI machine learning generative AI agentic systems cloud data integration automation

Product Owner Data (Senior)

ALTEN · Posted Nov 6, 2026

Open

Boulogne-Billancourt, Île-de-France, France
Senior
4–9 years

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Lead product ownership for complex data and AI products, coordinating between business and technical teams to deliver value.

Responsibilities

Collect and analyze business needs to translate into data and AI use cases
Write epics and user stories with clear acceptance criteria
Prioritize backlog based on business value and technical constraints
Facilitate Agile ceremonies with Scrum Master and development team
Manage technical stack across Hadoop and GCP environments

Requirements

Diplôme Bac+5 issu d'une École d'Ingénieurs

Skills

Product Ownership Data Engineering Data Science Machine Learning Deep Learning Generative AI Scrum Agile Hadoop

AI Governance Senior Analyst

Whitley Penn · Posted Nov 4, 2026

Open

Dallas, Texas, United States +2 more
Hybrid
Full-time · Senior
7+ years
Visa sponsorship

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Responsible for administering the firm’s AI platforms and tools, developing and enforcing AI governance policies, and managing risk and compliance related to AI usage.

Locations (3)

Dallas, Texas, United States
Plano, Texas, United States
Fort Worth, Texas, United States

Responsibilities

Serve as the administrator for the firm’s AI platforms and tools
Identify, assess, manage and help mitigate risk related to the firm’s usage of AI tools and technologies
Work with data owners, IT, security, executive leadership and compliance teams to define data and security standards
Apply knowledge and understanding of AI control environments, governance principles and practices, and risk mitigation techniques
Execute an AI enterprise wide plan aligned with business goals

Associate Director - AI/ML Engineering

Verizon · Posted Nov 4, 2026

Open

Chennai, Tamil Nadu, India
Hybrid
Full-time · Director
6+ years

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This is a leadership role that will require deep technical expertise in AI Engineering and will focus on establishing a strong AI Engineering, AI Platforms that enables Generative and Agentic AI solutions at scale.

Responsibilities

Leading the AI engineering team and overseeing the end-to-end development, deployment, and maintenance of scalable AI platforms and frameworks
Owning non-functional KPIs across production deployments of AI applications and agents on the Enterprise AI platform
Managing and tracking strategic KPIs to evaluate the effectiveness, efficiency, and business impact of enterprise AI solutions
Driving innovation by researching, evaluating, and adopting emerging AI technologies, tools, and methodologies to expand organizational AI/ML capabilities
Ensuring best-in-class engineering standards in AI development including rigorous model validation, automated testing, and reliable deployment

Requirements

Bachelor's degree
Nice to have: managing AI product teams
Nice to have: managing AI scaling
Nice to have: GPU/CPU architecture
Nice to have: distributed computing

Skills

AI Engineering Generative AI Agentic AI

Staff Engineer, Machine Learning & Data Infrastructure

OKX · Posted Nov 4, 2026

Open

San Jose, California, United States
Hybrid
Full-time
$215K–$322K per year

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Lead the architecture and hands‑on development of the ML and data infrastructure behind OKX’s risk and fraud prevention systems.

Compensation

The salary range for this position is $214,666 to 321,999

Responsibilities

Improve model inference latency, throughput, resource utilization, and cost
Profile the full prediction path and deliver measurable improvements
Build reusable infrastructure for model packaging, versioning, deployment, serving, monitoring, and rollback across cloud platforms and regions
Design and optimize offline data pipelines on Databricks, Apache Spark, and warehouse/lakehouse technologies
Connect offline and online feature pipelines, ensuring point‑in‑time correctness, consistent feature definitions, freshness, lineage, and reproducible backfills

Requirements

Nice to have: SageMaker
Nice to have: Alibaba Cloud PAI/EAS
Nice to have: ONNX Runtime
Nice to have: TensorRT
Nice to have: Triton

Skills

Python SQL Java Scala

AI Strategy & Transformation Operations Leader

AI Strategy & Transformation Operations Leader

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Executive Director of AI Platforms and Products

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Product Owner Data (Senior)

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AI Governance Senior Analyst

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Associate Director - AI/ML Engineering

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Staff Engineer, Machine Learning & Data Infrastructure

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