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Enterprise AI Platform Director

EMC Insurance Group, Inc.

Remote • Today

Full-time

Distinguished AI Engineer – Enterprise AI Platform

Kasmo Inc.

Hybrid in Jersey City, New Jersey • 3d ago

Easy Apply

Contract

Depends on Experience

Enterprise AI Platform & Agent Solutions Consultant

Momento USA LLC

Fremont, California • Today

Easy Apply

Third Party, Contract

Depends on Experience

Senior Manager, Enterprise AI Platform

Blackbaud

Remote • Today

Full-time

USD 117,200.00 - 157,500.00 per year

Director of AI / ML Platform (Enterprise Databricks AI)

Jobot

Coppell, Texas • Today

Full-time

USD 180,000.00 - 250,000.00 per year

Director - AI Engineering - Enterprise AI Platforms

American Express

Sunnyvale, California • Today

Full-time

USD 144,250.00 - 256,250.00 per year

Director, Distinguished Engineer, Enterprise AI Platforms

MUFG

Jersey City, New Jersey • Today

Full-time

USD 250,000.00 - 350,000.00 per year

Director Enterprise AI Governance

HP Development Company, L.P.

Spring, Texas • Today

Full-time

USD 174,050.00 - 275,000.00 per year

Director of Enterprise AI Development

University of South Carolina

No location provided • Today

Full-time

USD 135,866.00 per year

Director, Enterprise AI Communications

Gilead Sciences, Inc.

Foster City, California • Today

Full-time

USD 210,375.00 - 272,250.00 per year

Director, AI Platform

Scotiabank Group

Dallas, Texas • Today

Full-time

Senior Director, AI Architecture & Platform Engineering

Acosta

Lewisville, Texas • Today

Full-time

USD 150,000.00 - 215,000.00 per year

Software Architect - AI-Enabled Enterprise Platform

Agile Defense

Remote or McLean, Virginia • Today

Full-time

USD 150,000.00 - 190,000.00 per year

Director AI Platform Engineering

Bank of Montreal

Chicago, Illinois • Today

Full-time

USD 150,700.00 - 261,800.00 per year

Director, AI Platform

Cargill

Atlanta, Georgia • Today

Full-time

Compensation information provided in the description

Director, AI Platform

Cargill

Atlanta, Georgia • Today

Full-time

USD 145,000.00 - 235,000.00 per year

Sr Director - AI Platform Engineering - D&A

Equifax

Alpharetta, Georgia • Today

Full-time

Senior Director of Engineering - AI Platform

Qualcomm Technologies

San Diego, California • Today

Full-time

USD 281,600.00 - 422,400.00 per year

Director, AI Platform Engineering

SS&C Technologies Inc

San Francisco, California • Today

Full-time

Associate Director - AI Platform Engineering

Verizon

Irving, Texas • Today

Full-time

USD 126,000.00 - 242,000.00 per year

Senior Director, AI Platform Engineering (Remote)

Experian

Remote • Today

Full-time

USD 176,036.00 - 316,865.00 per year

Director of Engineering, AI Platform

Asana

San Francisco, California • Today

Full-time

USD 306,000.00 - 360,000.00 per year

AI Platform Delivery Director

Mass Mutual Financial Group

Boston, Massachusetts • Today

Full-time

USD 148,300.00 - 194,600.00 per year

Associate Director, AI Platform Integrations

Motion Recruitment Partners, LLC

Chicago, Illinois • Today

Easy Apply

Full-time

$200000 - $260000

Managing Director, AI Platform Architect

Baker Tilly

Santa Clara, California • Today

Full-time

USD 350,000.00 - 550,000.00 per year

Managing Director, AI Platform Architect

Baker Tilly

Santa Clara, California • Today

Full-time

USD 350,000.00 - 550,000.00 per year

Director/Principal Engineer, Data & AI Platform

Arlo Technologies

Milpitas, California • Today

Full-time

USD 225,000.00 - 300,000.00 per year

Enterprise AI Architect

Apex Systems

Jersey City, New Jersey • Today

Easy Apply

Full-time

$70 - $73 per hour

Enterprise AI Architect

NR Consulting LLC

San Francisco, California • 4d ago

Easy Apply

Contract

Up to 125

AI Enterprise Solution Expert

Michael Page

New York, New York • Today

Full-time

USD 100,000.00 - 130,000.00 per year

Job Details

Skills

Management Agent
Decision-making
Investments
Product Management
Routing
Lifecycle Management
API
Management
Microsoft Certified Professional
Servers
Demonstrations
Documentation
Training
Onboarding
Workflow
Legal
Innovation
Accountability
Computer Science
Management Information Systems
Software Engineering
Analytics
Machine Learning (ML)
IT Management
Cloud Architecture
Generative Artificial Intelligence (AI)
Orchestration
Evaluation
Leadership
Analytical Skill
Roadmaps
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Enterprise Integration
Technical Direction
Privacy
Regulatory Compliance
Cost Management
Art
Artificial Intelligence
Communication
Presentations
Facilitation
Organizational Skills
Recruiting
EMC
Military

Management Agent
Decision-making
Investments
Product Management
Routing
Lifecycle Management
API
Management
Microsoft Certified Professional
Servers
Demonstrations
Documentation
Training
Onboarding
Workflow
Legal
Innovation
Accountability
Computer Science
Management Information Systems
Software Engineering
Analytics
Machine Learning (ML)
IT Management
Cloud Architecture
Generative Artificial Intelligence (AI)
Orchestration
Evaluation
Leadership
Analytical Skill
Roadmaps
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Enterprise Integration
Technical Direction
Privacy
Regulatory Compliance
Cost Management
Art
Artificial Intelligence
Communication
Presentations
Facilitation
Organizational Skills
Recruiting
EMC
Military

Summary

Defines the enterprise AI platform strategy and capability roadmap.
Aligns platform investments to enterprise priorities, product roadmaps, recurring engineering needs, and emerging AI capabilities.
Establishes a composable platform direction that enables teams to reuse trusted capabilities.
Evaluates opportunities, sequencing, value, cost, risk, and adoption needs.
Communicates platform strategy and direction to technology and business stakeholders.
Partners with product management and business leaders to understand prioritized problems and desired outcomes while aligning shared technology capabilities to accelerate those priorities.
Leads the design, delivery, and evolution of shared AI platform capabilities, including agent runtime and orchestration patterns, approved model access and routing, prompt lifecycle management, tool and MCP enablement, API/MCP gateways, domain capability management, observability, evaluation, and platform operations.
Establishes architectural direction, technical standards, and guardrails while empowering platform engineers and architects to own detailed implementation.
Creates patterns for product and engineering teams to publish, register, secure, discover, and consume reusable APIs, MCP servers, tools, prompts, agents, and other composable capabilities.
Builds enterprise adoption and advances the platform toward governed self-service.
Partners with product and engineering teams on enablement.
Demonstrates emerging AI capabilities and the art of possible to product and business leaders, identifies recurring needs that should become reusable platform capabilities, and develops reference patterns, demonstrations, documentation, training, and onboarding approaches.
Evolves the capability ecosystem so appropriate business users can increasingly experiment with and compose bounded workflows from trusted enterprise capabilities.
Embeds governance, security, privacy, compliance, responsible AI, human oversight, auditability, cost management, and operational controls into shared platform capabilities.
Partners with governance, security, risk, legal, data, and architecture functions to translate enterprise policy into practical guardrails that enable innovation within established boundaries.
Researches and evaluates emerging AI technologies, vendors, standards, and industry trends; sponsors proofs of concept and proofs of value to inform platform direction; and assesses enterprise fit, total cost of ownership, risk, and value.
Leads and develops a high-performing technical team accountable for reliable operation and continuous evolution of the enterprise AI platform.
Directs and monitors the workload and performance of the team and performs all duties of a people leader at EMC.

Education & Experience:

Bachelor's degree, preferably in computer science, management information systems, engineering, or related field, or equivalent relevant experience
Ten years of progressive technology experience in platform engineering, architecture, software engineering, data and analytics, AI/ML platforms, or enterprise technology leadership
Cloud, architecture, data, AI, or related technical certifications preferred

Knowledge, Skills & Abilities:

Excellent knowledge of generative AI and agentic concepts, including models, prompts, agents, tools, orchestration, context, evaluation, and responsible AI
Strong leadership skills with the ability to develop high-performing teams and establish platform or shared-service strategies across multiple product or engineering groups
Excellent strategic and analytical skills with the ability to translate enterprise demand, product priorities, technology trends, risk, and decisions into capability roadmaps that influence stakeholders and deliver incremental value
Excellent knowledge of modern cloud platforms including AWS, Azure, Google Cloud Platform
Strong understanding of platform engineering, enterprise integration, identity and access, observability, reliability, and software delivery practices
Ability to establish technical direction and make sound architecture and platform decisions without being the hands-on implementation expert in every underlying technology
Strong understanding of governance, security, privacy, compliance, auditability, and cost-management considerations for enterprise AI
Ability to demonstrate the art of possible and translate complex AI concepts into clear implications for technical and nontechnical audiences
Excellent written and verbal communication skills, including presentation and facilitation skills
Excellent planning and organizational skills

The hiring salary range for this position will vary based on geographic location, falling within either of the following:
$141,433 - $203,218 or $156,324 - $223,550
A hiring range represents a subset of the full salary range. The actual salary will depend on several factors, including relevant education, skills, and experience of an applicant, geographic location, and business needs.

For information relating to the benefits EMC Team Members receive as part of a comprehensive rewards package, please visit ;/b>

Our employment practices are in accordance with the laws that prohibit discrimination due to race, color, creed, sex, sexual orientation, gender identity, genetic information, religion, age, national origin or ancestry, physical or mental disability, medical condition, veteran status, active military status, citizenship status, marital status or any other consideration made unlawful by federal, state, or local laws.

All of our locations are tobacco free including in company vehicles.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Dice Id: 80184730
Position Id: 6a1a5c58aa38da329e5b98c873e46054
Posted 2 hours ago

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Loading job details

Job Details

Skills

Management Agent
Decision-making
Investments
Product Management
Routing
Lifecycle Management
API
Management
Microsoft Certified Professional
Servers
Demonstrations
Documentation
Training
Onboarding
Workflow
Legal
Innovation
Accountability
Computer Science
Management Information Systems
Software Engineering
Analytics
Machine Learning (ML)
IT Management
Cloud Architecture
Generative Artificial Intelligence (AI)
Orchestration
Evaluation
Leadership
Analytical Skill
Roadmaps
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Enterprise Integration
Technical Direction
Privacy
Regulatory Compliance
Cost Management
Art
Artificial Intelligence
Communication
Presentations
Facilitation
Organizational Skills
Recruiting
EMC
Military

Management Agent
Decision-making
Investments
Product Management
Routing
Lifecycle Management
API
Management
Microsoft Certified Professional
Servers
Demonstrations
Documentation
Training
Onboarding
Workflow
Legal
Innovation
Accountability
Computer Science
Management Information Systems
Software Engineering
Analytics
Machine Learning (ML)
IT Management
Cloud Architecture
Generative Artificial Intelligence (AI)
Orchestration
Evaluation
Leadership
Analytical Skill
Roadmaps
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Enterprise Integration
Technical Direction
Privacy
Regulatory Compliance
Cost Management
Art
Artificial Intelligence
Communication
Presentations
Facilitation
Organizational Skills
Recruiting
EMC
Military

Summary

At EMC, we're all about working together to make an impact. As part of our team, you'll have the opportunity to grow, contribute, and gain experience that matters. We strive to be caring leaders, close partners, and responsive experts-always supporting each other to do our best work. Join us, and let's improve lives together.

**This position is eligible to work from home anywhere in the US**

The Enterprise AI Platform Director provides strategic and technical leadership for the enterprise AI platform, establishing the capabilities, patterns, guardrails, and operating model that enable product and engineering teams to deliver AI-enabled solutions safely and efficiently. Defines and maintains the AI platform capability roadmap in alignment with enterprise priorities and product roadmaps. Leads a team responsible for reusable AI runtime, model and prompt management, agent orchestration, tool and Model Context Protocol (MCP) enablement, Application Programming Interface (API) and MCP gateway capabilities, observability, and platform operations. Provides technical direction and decision-making without requiring the leader to serve as the deepest hands-on implementation expert in every AI technology.

Essential Functions:

Defines the enterprise AI platform strategy and capability roadmap.
Aligns platform investments to enterprise priorities, product roadmaps, recurring engineering needs, and emerging AI capabilities.
Establishes a composable platform direction that enables teams to reuse trusted capabilities.
Evaluates opportunities, sequencing, value, cost, risk, and adoption needs.
Communicates platform strategy and direction to technology and business stakeholders.
Partners with product management and business leaders to understand prioritized problems and desired outcomes while aligning shared technology capabilities to accelerate those priorities.
Leads the design, delivery, and evolution of shared AI platform capabilities, including agent runtime and orchestration patterns, approved model access and routing, prompt lifecycle management, tool and MCP enablement, API/MCP gateways, domain capability management, observability, evaluation, and platform operations.
Establishes architectural direction, technical standards, and guardrails while empowering platform engineers and architects to own detailed implementation.
Creates patterns for product and engineering teams to publish, register, secure, discover, and consume reusable APIs, MCP servers, tools, prompts, agents, and other composable capabilities.
Builds enterprise adoption and advances the platform toward governed self-service.
Partners with product and engineering teams on enablement.
Demonstrates emerging AI capabilities and the art of possible to product and business leaders, identifies recurring needs that should become reusable platform capabilities, and develops reference patterns, demonstrations, documentation, training, and onboarding approaches.
Evolves the capability ecosystem so appropriate business users can increasingly experiment with and compose bounded workflows from trusted enterprise capabilities.
Embeds governance, security, privacy, compliance, responsible AI, human oversight, auditability, cost management, and operational controls into shared platform capabilities.
Partners with governance, security, risk, legal, data, and architecture functions to translate enterprise policy into practical guardrails that enable innovation within established boundaries.
Researches and evaluates emerging AI technologies, vendors, standards, and industry trends; sponsors proofs of concept and proofs of value to inform platform direction; and assesses enterprise fit, total cost of ownership, risk, and value.
Leads and develops a high-performing technical team accountable for reliable operation and continuous evolution of the enterprise AI platform.
Directs and monitors the workload and performance of the team and performs all duties of a people leader at EMC.

Education & Experience:

Bachelor's degree, preferably in computer science, management information systems, engineering, or related field, or equivalent relevant experience
Ten years of progressive technology experience in platform engineering, architecture, software engineering, data and analytics, AI/ML platforms, or enterprise technology leadership
Cloud, architecture, data, AI, or related technical certifications preferred

Knowledge, Skills & Abilities:

Excellent knowledge of generative AI and agentic concepts, including models, prompts, agents, tools, orchestration, context, evaluation, and responsible AI
Strong leadership skills with the ability to develop high-performing teams and establish platform or shared-service strategies across multiple product or engineering groups
Excellent strategic and analytical skills with the ability to translate enterprise demand, product priorities, technology trends, risk, and decisions into capability roadmaps that influence stakeholders and deliver incremental value
Excellent knowledge of modern cloud platforms including AWS, Azure, Google Cloud Platform
Strong understanding of platform engineering, enterprise integration, identity and access, observability, reliability, and software delivery practices
Ability to establish technical direction and make sound architecture and platform decisions without being the hands-on implementation expert in every underlying technology
Strong understanding of governance, security, privacy, compliance, auditability, and cost-management considerations for enterprise AI
Ability to demonstrate the art of possible and translate complex AI concepts into clear implications for technical and nontechnical audiences
Excellent written and verbal communication skills, including presentation and facilitation skills
Excellent planning and organizational skills

The hiring salary range for this position will vary based on geographic location, falling within either of the following:
$141,433 - $203,218 or $156,324 - $223,550
A hiring range represents a subset of the full salary range. The actual salary will depend on several factors, including relevant education, skills, and experience of an applicant, geographic location, and business needs.

For information relating to the benefits EMC Team Members receive as part of a comprehensive rewards package, please visit ;/b>

Our employment practices are in accordance with the laws that prohibit discrimination due to race, color, creed, sex, sexual orientation, gender identity, genetic information, religion, age, national origin or ancestry, physical or mental disability, medical condition, veteran status, active military status, citizenship status, marital status or any other consideration made unlawful by federal, state, or local laws.

All of our locations are tobacco free including in company vehicles.

Fitment
Dice Job Match Score™

To see how well you match this job, please log in or create an account.
Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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