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Enterprise AI Architect/Tech Enterprise Architect

OrangePeople

Plano, Texas • Yesterday

Easy Apply

Contract

Enterprise AI Architect

Apex Systems

Plano, Texas • Today

Easy Apply

Full-time

$72 - $73 per hour

Director of AI / ML Platform (Enterprise Databricks AI)

Jobot

Coppell, Texas • Today

Full-time

USD 180,000.00 - 250,000.00 per year

AI Platform Architect

Diligente Technologies

Hybrid in Dallas, Texas • 21d ago

Easy Apply

Full-time

Depends on Experience

Principal Agentic AI Platform Architect

Purple Drive Technologies LLC

Remote or Irving, Texas • Today

Easy Apply

Full-time, Part-time, Contract, Third Party

Enterprise Architect

Fisher Investments

Plano, Texas • Today

Full-time

Enterprise Architect

Anblicks

Hybrid in Richardson, Texas • 9d ago

Easy Apply

Full-time

Depends on Experience

Solution Lead Enterprise Java, GenAI & AI-Powered - SL 26-14201

Compu-Vision Consulting, Inc.

Hybrid in Plano, Texas • Today

Easy Apply

Contract, Third Party

Depends on Experience

Sr. Manager, Full-stack Engineer (Java, Python, Docker, AI) (Enterprise Platforms Technology)

Capital One

Plano, Texas • Today

Full-time

USD 209,000.00 - 238,500.00 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

Software Engineer- Platform Engineering & AI

TPI Global Solutions, Inc.

Hybrid in Plano, Texas • 10d ago

Easy Apply

Contract

45 - 70

AI/ML Platform Engineer

Toyota Motor Sales

Plano, Texas • Today

Full-time

Principal Forward Deployed Engineer, Enterprise AI Productivity

Analog Devices, Inc.

Dallas, Texas • Today

Full-time

USD 200,000.00 - 275,000.00 per year

Agentic AI Engineering Lead ? Enterprise Agent Orchestration - SVP

Citi

Irving, Texas • Today

Full-time

Compensation information provided in the description

Python AWS AI Architect

Nityo Infotech Corporation

Richardson, Texas • 7d ago

Easy Apply

Full-time

$140,000 - $160,000

Senior Principal Engineer, Enterprise Networking Architecture, Automation and AI

Equinix

Dallas, Texas • Today

Full-time

USD 177,000.00 - 265,000.00 per year

Lead Solutions Architect | AI/ML | Plano

Motion Recruitment Partners, LLC

Plano, Texas • Today

Easy Apply

Full-time

$160000 - $190000

AI & Automation Solution Architect

Datasignify

Plano, Texas • 23d ago

Easy Apply

Contract

Depends on Experience

AI Architect Lead Advisor

NTT DATA, Inc.

Plano, Texas • Today

Full-time

USD 185,015.00 - 284,250.00 per year

AI Architect - Senior AI Engineer - Agentic Systems (Remote)

NTT DATA, Inc.

Remote or Plano, Texas • Today

Full-time

USD 122,648.00 - 283,906.00 per year

AI Solution Architect

Sensiple Inc.

Remote or Hybrid in Plano, Texas • Today

Easy Apply

Third Party, Contract

Depends on Experience

Senior Architect AI Infrastructure & Fabric

VST Consulting, Inc

Hybrid in Plano, Texas • Today

Easy Apply

Full-time

Depends on Experience

Senior Director, AI Architecture & Platform Engineering

Acosta

Lewisville, Texas • Today

Full-time

USD 150,000.00 - 215,000.00 per year

AI Engineer, Platform and Runtime

HedgeServ

Dallas, Texas • 2d ago

Full-time

Director, AI Platform

Scotiabank Group

Dallas, Texas • Today

Full-time

Senior AI-Driven Full Stack / Platform Engineer

KBC Technologies, Inc

Hybrid in Plano, Texas • 17d ago

Easy Apply

Contract

40 - 52

AI Cloud Platform Engineer

Allstate Insurance Company

Dallas, Texas • 7d ago

Full-time

USD 85,000.00 - 145,075.00 per year

Staff Software Engineer / Architect - AI, CoCounsel FDE

Thomson Reuters U.S. Inc.

Frisco, Texas • Today

Full-time

USD 137,100.00 per year

Sr. Solutions Architect - AI

Nutanix

Dallas, Texas • Today

Full-time

USD 239,000.00 - 359,000.00 per year

Google AI & Data Solutions Architect, Senior Manager

PricewaterhouseCoopers LLP

Dallas, Texas • Today

Full-time

USD 124,000.00 - 280,000.00 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: 2026-6706/72107
Posted 27 days ago

Fitment

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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
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Health Insurance
Insurance
Team Building
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Wiki
Knowledge Base
Status Reports
Account Management
IT Consulting
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Recruiting
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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: 2026-6706/72107
Posted 27 days ago

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

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

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