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Enterprise AI Strategy & Architecture

OrangePeople

Plano, Texas • Today

Easy Apply

Contract

Director, Enterprise Architect, AI Architecture

Celanese International Corp.

Irving, Texas • Today

Full-time

AI Solutions Architect (GenAI & Enterprise AI Strategy) || Remote

Talent Vista Partners Inc

Remote • 11d ago

Third Party, Contract

$100 - $110

Senior Director, Enterprise Architecture - AI & Data

Foot Locker

Remote • Today

Full-time

USD 200,000.00 - 265,000.00 per year

Enterprise Architect ? Data, AI

Fisher Investments

Plano, Texas • Today

Full-time

AI Enterprise Architect

Computacenter

Dallas, Texas • Today

Full-time

Enterprise AI Solutions Architect

Alvarez & Marsal

Dallas, Texas • 13d ago

Full-time

USD 195,000.00 - 230,000.00 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

Architect, Enterprise AI

Navitus Health Solutions

Remote • Today

Full-time

USD 124,140.15 - 170,000.00 per year

Onsite AI Client Partner Enterprise Architect

Kyndryl

Remote or Florida • Today

Full-time

USD 179,760.00 per year

AI ML Ops Enterprise Architect at ONSITE- Woodland Hills, CA or Remote

Cynosure Technologies LLC

Remote • 5d ago

Easy Apply

Third Party, Contract

Depends on Experience

Sr. Director - Analyst, Enterprise Infrastructure, AI & Cloud Financial Management (Remote US)

Gartner

Remote or Texas • Today

Full-time

USD 172,000.00 per year

Senior Manager, Enterprise AI Platform

Blackbaud

Remote • Today

Full-time

USD 117,200.00 - 157,500.00 per year

AI Field Engineer - Enterprise

Fireworks AI

Remote or New York, New York • Today

Full-time

USD 200,000.00 - 260,000.00 per year

Enterprise AI Architect (Agentic AI & GitHub Copilot)

Randstad Digital

Remote or Troy, Michigan • Today

Contract

USD63 - USD73

Enterprise Data Owner AI & Analytics

Collaborate Solutions, Inc.

Remote • 17d ago

Easy Apply

Full-time

$80,000 - $100,000

Staff Software Engineer, AI-Augmented Enterprise Applications

CINC Systems

Remote • Today

Full-time

Oracle Fusion SCM Solution Architect (Enterprise Transformation & AI) - Remote (PST Hours)

Activesoft, Inc.

Remote • Today

Easy Apply

Contract

Depends on Experience

Enterprise Architect, Principal (AI)

Qualcomm Technologies

Remote or Colorado • Today

Full-time

USD 192,600.00 - 289,000.00 per year

Job Details

Skills

IT Management
Emerging Technologies
Partnership
Evaluation
Solution Architecture
Leadership
IT Architecture
Mapping
IT Strategy
Generative Artificial Intelligence (AI)
Scalability
Build Vs Buy
Technology Assessment
Roadmaps
Cloud Architecture
Cloud Computing
Amazon Web Services
Microsoft Azure
Security Architecture
Privacy
Regulatory Compliance
Decision-making
Communication
Taxonomy
Business Intelligence
Microsoft Certified Professional
TM
Health Insurance
Insurance
Team Building
Collaboration
Wiki
Knowledge Base
Status Reports
Account Management
IT Consulting
Managed Services
Recruiting
Artificial Intelligence
Cyber Security
Enterprise Architecture
Value Engineering
Lean Methodology

IT Management
Emerging Technologies
Partnership
Evaluation
Solution Architecture
Leadership
IT Architecture
Mapping
IT Strategy
Generative Artificial Intelligence (AI)
Scalability
Build Vs Buy
Technology Assessment
Roadmaps
Cloud Architecture
Cloud Computing
Amazon Web Services
Microsoft Azure
Security Architecture
Privacy
Regulatory Compliance
Decision-making
Communication
Taxonomy
Business Intelligence
Microsoft Certified Professional
TM
Health Insurance
Insurance
Team Building
Collaboration
Wiki
Knowledge Base
Status Reports
Account Management
IT Consulting
Managed Services
Recruiting
Artificial Intelligence
Cyber Security
Enterprise Architecture
Value Engineering
Lean Methodology

Summary

We are looking for an experienced Enterprise AI Architect / Technical Enterprise Architect to help define and advance enterprise-wide AI strategy, architecture, and technology direction. This is a senior architecture and technical leadership role requiring a strong Enterprise Architecture / Technical Architecture foundation combined with recent Enterprise AI and Generative AI experience. The successful candidate will work closely with the Enterprise Architecture team and cross-functional stakeholders to assess the current AI landscape, define target-state architecture and roadmaps, evaluate emerging AI technologies and vendors, and drive alignment around enterprise AI priorities. The ideal candidate will bring strong technical depth and the ability to challenge solution choices, evaluate architectural tradeoffs, and operate effectively across both technical strategy and stakeholder alignment.

Key Responsibilities:

Assess the current Enterprise AI landscape, including existing platforms, technologies, capabilities, stakeholder initiatives, architectural patterns, and gaps.
Help define the target-state Enterprise AI architecture, technology direction, roadmap, and prioritization approach.
Develop an Enterprise AI Taxonomy mapping AI capabilities and features to stakeholder initiatives across the enterprise AI landscape.
Establish and document a sustainable biannual Enterprise AI Landscape refresh process that captures evolving stakeholder requirements, emerging technologies, and industry developments.
Provide architecture leadership across Enterprise AI capabilities and technologies such as Generative AI, LLMs, Model Context Protocol (MCP), AI/LLM Gateways, agent platforms and registries, skills/tool integration, and related emerging AI technologies.
Evaluate existing and proposed AI technologies and architectures, challenging technical assumptions and technology choices while considering architectural fit, security, scalability, cost, implementation effort, and speed to value.
Conduct build-vs-buy analysis and technology/vendor evaluations, including defining evaluation criteria, comparing solutions, assessing architectural fit, and supporting Proof of Concept initiatives.
Define an MCP strategy in partnership with internal team members by gathering detailed stakeholder requirements, translating them into measurable success criteria, driving stakeholder review and sign-off, and supporting evaluation of the top two MCP vendors for Proof of Concept.
Partner with Enterprise Architecture, cloud, platform, security, application, data, AI, and other technology teams to align Enterprise AI initiatives with broader enterprise architecture standards and strategy.
Incorporate security, IAM, governance, privacy, compliance, and AI risk considerations into Enterprise AI architecture and technology recommendations.
Drive cross-functional stakeholder alignment and consensus, including Nemawashi-style collaboration, across teams with different requirements, priorities, and technology perspectives.
Recommend prioritization, ownership, sequencing, and implementation approaches for Enterprise AI capabilities and initiatives.
Communicate technical recommendations, architectural tradeoffs, risks, dependencies, and strategic decisions clearly to technical teams, stakeholders, and senior leadership.

Required Qualifications:

10+ years of experience in Enterprise Architecture, Technical Architecture, Solution Architecture, or related architecture leadership roles, with recent experience supporting Enterprise AI / Generative AI initiatives.
Strong Enterprise Architecture / Technical Architecture background, including current-state assessments, target-state architecture, capability mapping, technology strategy, and roadmap development.
Strong understanding of Generative AI, LLM architectures, Enterprise AI platforms, AI ecosystems, integration patterns, and emerging AI technologies.
Experience with Enterprise AI technologies and architectural patterns such as MCP, AI/LLM Gateways, agent platforms/registries, AI agents, skills/tool integration, or comparable technologies.
Demonstrated ability to assess and challenge architecture and technology decisions based on technical fit, scalability, security, cost, effort, complexity, and speed to implementation.
Experience with build-vs-buy analysis, product/technology evaluation, vendor assessment, and Proof of Concept initiatives.
Experience developing technology landscapes, capability maps, enterprise frameworks, architecture roadmaps, or similar strategic architecture artifacts.
Strong understanding of cloud architecture and enterprise cloud environments; AWS experience is highly valuable given the AWS-first environment, with Azure experience also beneficial where appropriate.
Understanding of security architecture, IAM, governance, privacy, compliance, and AI risk considerations within enterprise AI environments.
Strong ability to gather requirements across multiple teams, translate them into architecture requirements and measurable success criteria, and drive cross-functional stakeholder alignment and decision-making.
Excellent written and verbal communication skills, including the ability to communicate complex architecture concepts, recommendations, and tradeoffs to both technical and executive audiences.

Key Deliverables:

Deliver an Enterprise AI Taxonomy mapped to capabilities and features each stakeholder is delivering in the AI landscape.
Develop a process for a bi-annual refresh of the Enterprise AI Landscape that allows continued sustainment of this landscape and capturing new requirements, as the industry evolves.
Define an MCP strategy with one of our Team members, documenting detailed stakeholder requirements, turning them into Success Criteria, reviewing with stakeholders for sign-off, and helping evaluate top 2 vendors for proof of concept.
Produce weekly status reports on the above work sent to TM

Benefits:

401(k).
Dental Insurance.
Health insurance.
Vision insurance.
We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people.
The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.

Additional Responsibilities:

Participate in OP monthly team meetings and participate in team-building efforts.
Contribute to OP technical discussions, peer reviews, etc.
Contribute content and collaborate via the OP-Wiki/Knowledge Base.
Provide status reports to OP Account Management as requested.

About us:
At OP, we help you harness the power of technology for maximum impact. A technology consulting and solutions company, we offer advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields including AI, cyber security, enterprise architecture, and beyond. For nearly two decades, we've been challenging the status quo of the consulting industry, serving up fresh, ingenious thinking through a radically lean structure. Together, this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.

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: 10216708
Position Id: 2026-6706/71605
Posted 3 days ago

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Job Details

Skills

IT Management
Emerging Technologies
Partnership
Evaluation
Solution Architecture
Leadership
IT Architecture
Mapping
IT Strategy
Generative Artificial Intelligence (AI)
Scalability
Build Vs Buy
Technology Assessment
Roadmaps
Cloud Architecture
Cloud Computing
Amazon Web Services
Microsoft Azure
Security Architecture
Privacy
Regulatory Compliance
Decision-making
Communication
Taxonomy
Business Intelligence
Microsoft Certified Professional
TM
Health Insurance
Insurance
Team Building
Collaboration
Wiki
Knowledge Base
Status Reports
Account Management
IT Consulting
Managed Services
Recruiting
Artificial Intelligence
Cyber Security
Enterprise Architecture
Value Engineering
Lean Methodology

IT Management
Emerging Technologies
Partnership
Evaluation
Solution Architecture
Leadership
IT Architecture
Mapping
IT Strategy
Generative Artificial Intelligence (AI)
Scalability
Build Vs Buy
Technology Assessment
Roadmaps
Cloud Architecture
Cloud Computing
Amazon Web Services
Microsoft Azure
Security Architecture
Privacy
Regulatory Compliance
Decision-making
Communication
Taxonomy
Business Intelligence
Microsoft Certified Professional
TM
Health Insurance
Insurance
Team Building
Collaboration
Wiki
Knowledge Base
Status Reports
Account Management
IT Consulting
Managed Services
Recruiting
Artificial Intelligence
Cyber Security
Enterprise Architecture
Value Engineering
Lean Methodology

Summary

Key Responsibilities:

Assess the current Enterprise AI landscape, including existing platforms, technologies, capabilities, stakeholder initiatives, architectural patterns, and gaps.
Help define the target-state Enterprise AI architecture, technology direction, roadmap, and prioritization approach.
Develop an Enterprise AI Taxonomy mapping AI capabilities and features to stakeholder initiatives across the enterprise AI landscape.
Establish and document a sustainable biannual Enterprise AI Landscape refresh process that captures evolving stakeholder requirements, emerging technologies, and industry developments.
Provide architecture leadership across Enterprise AI capabilities and technologies such as Generative AI, LLMs, Model Context Protocol (MCP), AI/LLM Gateways, agent platforms and registries, skills/tool integration, and related emerging AI technologies.
Evaluate existing and proposed AI technologies and architectures, challenging technical assumptions and technology choices while considering architectural fit, security, scalability, cost, implementation effort, and speed to value.
Conduct build-vs-buy analysis and technology/vendor evaluations, including defining evaluation criteria, comparing solutions, assessing architectural fit, and supporting Proof of Concept initiatives.
Define an MCP strategy in partnership with internal team members by gathering detailed stakeholder requirements, translating them into measurable success criteria, driving stakeholder review and sign-off, and supporting evaluation of the top two MCP vendors for Proof of Concept.
Partner with Enterprise Architecture, cloud, platform, security, application, data, AI, and other technology teams to align Enterprise AI initiatives with broader enterprise architecture standards and strategy.
Incorporate security, IAM, governance, privacy, compliance, and AI risk considerations into Enterprise AI architecture and technology recommendations.
Drive cross-functional stakeholder alignment and consensus, including Nemawashi-style collaboration, across teams with different requirements, priorities, and technology perspectives.
Recommend prioritization, ownership, sequencing, and implementation approaches for Enterprise AI capabilities and initiatives.
Communicate technical recommendations, architectural tradeoffs, risks, dependencies, and strategic decisions clearly to technical teams, stakeholders, and senior leadership.

Required Qualifications:

10+ years of experience in Enterprise Architecture, Technical Architecture, Solution Architecture, or related architecture leadership roles, with recent experience supporting Enterprise AI / Generative AI initiatives.
Strong Enterprise Architecture / Technical Architecture background, including current-state assessments, target-state architecture, capability mapping, technology strategy, and roadmap development.
Strong understanding of Generative AI, LLM architectures, Enterprise AI platforms, AI ecosystems, integration patterns, and emerging AI technologies.
Experience with Enterprise AI technologies and architectural patterns such as MCP, AI/LLM Gateways, agent platforms/registries, AI agents, skills/tool integration, or comparable technologies.
Demonstrated ability to assess and challenge architecture and technology decisions based on technical fit, scalability, security, cost, effort, complexity, and speed to implementation.
Experience with build-vs-buy analysis, product/technology evaluation, vendor assessment, and Proof of Concept initiatives.
Experience developing technology landscapes, capability maps, enterprise frameworks, architecture roadmaps, or similar strategic architecture artifacts.
Strong understanding of cloud architecture and enterprise cloud environments; AWS experience is highly valuable given the AWS-first environment, with Azure experience also beneficial where appropriate.
Understanding of security architecture, IAM, governance, privacy, compliance, and AI risk considerations within enterprise AI environments.
Strong ability to gather requirements across multiple teams, translate them into architecture requirements and measurable success criteria, and drive cross-functional stakeholder alignment and decision-making.
Excellent written and verbal communication skills, including the ability to communicate complex architecture concepts, recommendations, and tradeoffs to both technical and executive audiences.

Key Deliverables:

Deliver an Enterprise AI Taxonomy mapped to capabilities and features each stakeholder is delivering in the AI landscape.
Develop a process for a bi-annual refresh of the Enterprise AI Landscape that allows continued sustainment of this landscape and capturing new requirements, as the industry evolves.
Define an MCP strategy with one of our Team members, documenting detailed stakeholder requirements, turning them into Success Criteria, reviewing with stakeholders for sign-off, and helping evaluate top 2 vendors for proof of concept.
Produce weekly status reports on the above work sent to TM

Benefits:

401(k).
Dental Insurance.
Health insurance.
Vision insurance.
We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people.
The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.

Additional Responsibilities:

Participate in OP monthly team meetings and participate in team-building efforts.
Contribute to OP technical discussions, peer reviews, etc.
Contribute content and collaborate via the OP-Wiki/Knowledge Base.
Provide status reports to OP Account Management as requested.

Dice Id: 10216708
Position Id: 2026-6706/71605
Posted 3 days ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

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