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172 results (5 new)

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Enterprise AI Architect/Tech Enterprise Architect

OrangePeople

Plano, Texas • Yesterday

Easy Apply

Contract

AI Enterprise Architect

Computacenter

Dallas, Texas • Today

Full-time

Architect, Enterprise AI

Navitus Health Solutions

Remote • Today

Full-time

USD 124,140.15 - 170,000.00 per year

Generative AI Enterprise Architect

Empower Annuity Insurance Company of America

Remote • Today

Full-time

USD 151,800.00 - 220,050.00 per year

AI Solutions Architect Enterprise AI Platforms

Krostech Solutions, LLC

Remote • 2d ago

Easy Apply

Full-time

Depends on Experience

Enterprise Data & AI Architect

Irvine Technology Corporation (ITC)

Remote or North Las Vegas, Nevada • Today

Easy Apply

Full-time

USD168,000 - USD170,000

AI Architect

Photon

Irving, Texas • 10d ago

Easy Apply

Full-time

140,000 - 170,000

AI Architect

NTT DATA, Inc.

Plano, Texas • Today

Full-time

AI Architect

ServiceNow, Inc.

Remote or Addison, Texas • Today

Full-time

USD 199,100.00 - 348,400.00 per year

AI/Ml Engineeer ( Agentic AI)

Emergere Technologies

Plano, Texas • 4d ago

Easy Apply

Contract, Third Party

Depends on Experience

Senior Gen AI Engineer

ApTask

Hybrid in Plano, Texas • 16d ago

Easy Apply

Full-time

55 - 60

Senior GEN AI Engineer

HCM Staffing and Consulting

Hybrid in Plano, Texas • 9d ago

Easy Apply

Contract

$70 - $80

Full time || Gen AI Developer || Hybrid -Irving, TX

Pioneer IT Systems LLC

Hybrid in Irving, Texas • 8d ago

Easy Apply

Full-time

$120 - $130

Senior GEN AI Engineer

HCM Staffing and Consulting

Hybrid in Plano, Texas • 17d ago

Easy Apply

Contract

$70 - $80

Senior GEN AI Engineer

AIT Global, Inc.

Plano, Texas • 2d ago

Easy Apply

Contract

Jr. AI Developer- FULLTIME role, NO C2C

Marlabs LLC

Plano, Texas • 16d ago

Easy Apply

Full-time

Depends on Experience

Applications Development Senior Manager

Citi

Irving, Texas • Today

Full-time

USD 160,285.00 - 183,400.00 per year

Lead Software Engineer - Ai Engineer

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

Lead Software Engineer - Java, Python, AI/LLM

JPMorgan Chase & Co.

Plano, Texas • Yesterday

Full-time

Fullstack Engineer

Anblicks

Hybrid in Dallas, Texas • Yesterday

Easy Apply

Contract, Third Party

Depends on Experience

AI/Ml Engineer(W2 Contract)

Virtuous Tech Inc

Dallas, Texas • 25d ago

Easy Apply

Contract

55 - 60

Intern Data Scientist 2027 - AI & Data Analytics

IBM

Dallas, Texas • Today

Full-time

Deep Learning Data Scientist II

Spectral MD, Inc.

Dallas, Texas • Today

Full-time

Lead Generative AI Engineer, VP

Citi

Irving, Texas • Today

Full-time

Compensation information provided in the description

Senior Knowledge Engineer

Accenture LLP

Dallas, Texas • Today

Full-time

USD 94,400.00 per year

AI Architect

Brooksource

Remote • Today

Contract

$80.00 - $92.00

Full Stack Java/React Technical Lead - Vice President

Citi

Irving, Texas • Today

Full-time

USD 125,760.00 - 188,640.00 per year

AI /ML engineer with Agentic AI experience

Lorvin Technologies

Plano, Texas • 3d ago

Easy Apply

Contract

65+

Data Scientist (NLP and GenAI Specialist)

Morgan Stanley

Dallas, Texas • Today

Full-time

Lead Generative AI Engineer, VP

Citi

Irving, Texas • Today

Full-time

USD 125,760.00 - 188,640.00 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 1 day 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
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: 2026-6706/72107
Posted 1 day 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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