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Ai Engineer Ai Architect Ai Engineering

  • Ai Engineer Ai Architect Ai Engineering job type Posted on: Nov 12, 2026
  • Ai Engineer Ai Architect Ai Engineering experience level SoftPathTechnologies
  • Ai Engineer Ai Architect Ai Engineering employment type Houston, Texas
  • Ai Engineer Ai Architect Ai Engineering employment type Onsite
  • Ai Engineer Ai Architect Ai Engineering salary Full-time

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Job Title :

Ai Engineer Ai Architect Ai Engineering

Job Type :

Full-Time

Job Location :

Houston Texas United States

Remote :

No

Jobcon Logo Job Description :

Job Title: Senior AI Engineer / AI Architect / AI Engineering Manager

Client: Halliburton
Location: Houston, TX (Onsite 3 5 days per week)
Duration: 12+ Months Contract
Visa Restrictions: US Citizen, Green Card, GC EAD, TN, H4 EAD
Experience Required: 15+ Years
Interview Process: 3 Rounds (2 Virtual + Final Onsite)

Job Description

Halliburton is seeking experienced Senior AI Engineers / AI Architects to support the development of its next-generation enterprise AI platform, AI Foundry. This platform will empower development teams across the enterprise to design, build, deploy, and scale AI-powered applications.

We are looking for highly experienced AI professionals with strong hands-on expertise in Python development, AI/ML engineering, enterprise AI platform development, and application architecture. The ideal candidate will be a senior individual contributor capable of defining technical standards, establishing scalable AI frameworks, and developing enterprise-grade AI applications such as chatbots and copilots.

Key Responsibilities

1. AI Platform Development

  • Design, develop, and standardize core components of the enterprise AI platform (AI Foundry).
  • Define AI/ML frameworks, best practices, technical standards, and reference architectures.
  • Build scalable and reusable components for enterprise AI application development.

2. AI Application Engineering

  • Develop enterprise AI applications, including chatbots, copilots, and AI-powered solutions.
  • Build and deploy AI/ML applications using Python and modern AI technologies.
  • Establish reusable development patterns that other engineering teams can adopt.

3. Enterprise Integration & Security

  • Work with Microsoft Copilot and Copilot Studio for enterprise AI integration.
  • Implement secure identity and access management solutions.
  • Ensure compliance with enterprise security standards and policies.
  • Integrate AI applications with enterprise systems and authentication platforms.

4. Technical Leadership & Collaboration

  • Work as a senior hands-on individual contributor while collaborating with engineering and product teams.
  • Mentor junior engineers and contribute to technical direction.
  • Collaborate with enterprise leadership and stakeholders on AI platform adoption.
  • Communicate technical solutions effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • 15+ years of overall IT/technology experience.
  • Strong hands-on experience in Python programming and development.
  • Proven experience in AI/ML engineering, AI platform development, or enterprise data platforms.
  • Experience designing and developing enterprise-scale AI solutions.
  • Hands-on experience with Microsoft Copilot, Copilot Studio, or similar enterprise AI tools.
  • Strong understanding of enterprise identity management, authentication, authorization, and security integration.
  • Experience developing and deploying AI-powered applications, chatbots, and copilots.
  • Knowledge of cloud-based AI services such as Azure OpenAI, AWS AI/ML, or equivalent platforms.
  • Experience working in large enterprise or consulting environments.
  • Ability to work independently as a senior technical contributor.
Preferred Qualifications
  • Experience building enterprise AI platforms from scratch.
  • Experience with Azure OpenAI, Generative AI, LLMs, RAG, and AI application architecture.
  • Knowledge of Microsoft Azure AI services and enterprise cloud architecture.
  • Previous experience in the Oil & Gas or Energy industry.
  • Strong technical communication and stakeholder management skills.
Important Candidate Requirements
  • Must have 15+ years of overall experience. Junior profiles will not be considered.
  • Must have strong hands-on Python and enterprise AI experience.
  • Candidates must be willing to work onsite in Houston, TX, 3 5 days per week.
  • Resume should be concise, preferably 3 5 pages maximum.
  • LinkedIn profile URL is mandatory, preferably with a professional profile picture.
  • Resumes must clearly demonstrate relevant project experience and technologies used.
  • Avoid generic skill lists and keyword-stuffed resumes.

Note: Multiple openings (23 positions) are available for qualified candidates.

Jobcon Logo Position Details

Posted:

Nov 12, 2026

Reference Number:

1900-33630

Employment:

Full-time

City:

Houston

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Title: Senior AI Engineer / AI Architect / AI Engineering Manager

Client: Halliburton
Location: Houston, TX (Onsite 3 5 days per week)
Duration: 12+ Months Contract
Visa Restrictions: US Citizen, Green Card, GC EAD, TN, H4 EAD
Experience Required: 15+ Years
Interview Process: 3 Rounds (2 Virtual + Final Onsite)

Job Description

Halliburton is seeking experienced Senior AI Engineers / AI Architects to support the development of its next-generation enterprise AI platform, AI Foundry. This platform will empower development teams across the enterprise to design, build, deploy, and scale AI-powered applications.

We are looking for highly experienced AI professionals with strong hands-on expertise in Python development, AI/ML engineering, enterprise AI platform development, and application architecture. The ideal candidate will be a senior individual contributor capable of defining technical standards, establishing scalable AI frameworks, and developing enterprise-grade AI applications such as chatbots and copilots.

Key Responsibilities

1. AI Platform Development

  • Design, develop, and standardize core components of the enterprise AI platform (AI Foundry).
  • Define AI/ML frameworks, best practices, technical standards, and reference architectures.
  • Build scalable and reusable components for enterprise AI application development.

2. AI Application Engineering

  • Develop enterprise AI applications, including chatbots, copilots, and AI-powered solutions.
  • Build and deploy AI/ML applications using Python and modern AI technologies.
  • Establish reusable development patterns that other engineering teams can adopt.

3. Enterprise Integration & Security

  • Work with Microsoft Copilot and Copilot Studio for enterprise AI integration.
  • Implement secure identity and access management solutions.
  • Ensure compliance with enterprise security standards and policies.
  • Integrate AI applications with enterprise systems and authentication platforms.

4. Technical Leadership & Collaboration

  • Work as a senior hands-on individual contributor while collaborating with engineering and product teams.
  • Mentor junior engineers and contribute to technical direction.
  • Collaborate with enterprise leadership and stakeholders on AI platform adoption.
  • Communicate technical solutions effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • 15+ years of overall IT/technology experience.
  • Strong hands-on experience in Python programming and development.
  • Proven experience in AI/ML engineering, AI platform development, or enterprise data platforms.
  • Experience designing and developing enterprise-scale AI solutions.
  • Hands-on experience with Microsoft Copilot, Copilot Studio, or similar enterprise AI tools.
  • Strong understanding of enterprise identity management, authentication, authorization, and security integration.
  • Experience developing and deploying AI-powered applications, chatbots, and copilots.
  • Knowledge of cloud-based AI services such as Azure OpenAI, AWS AI/ML, or equivalent platforms.
  • Experience working in large enterprise or consulting environments.
  • Ability to work independently as a senior technical contributor.
Preferred Qualifications
  • Experience building enterprise AI platforms from scratch.
  • Experience with Azure OpenAI, Generative AI, LLMs, RAG, and AI application architecture.
  • Knowledge of Microsoft Azure AI services and enterprise cloud architecture.
  • Previous experience in the Oil & Gas or Energy industry.
  • Strong technical communication and stakeholder management skills.
Important Candidate Requirements
  • Must have 15+ years of overall experience. Junior profiles will not be considered.
  • Must have strong hands-on Python and enterprise AI experience.
  • Candidates must be willing to work onsite in Houston, TX, 3 5 days per week.
  • Resume should be concise, preferably 3 5 pages maximum.
  • LinkedIn profile URL is mandatory, preferably with a professional profile picture.
  • Resumes must clearly demonstrate relevant project experience and technologies used.
  • Avoid generic skill lists and keyword-stuffed resumes.

Note: Multiple openings (23 positions) are available for qualified candidates.

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