SoftPath Technologies LLC
SoftPath Technologies LLC

AI Engineer / AI Architect / AI Engineering Manager

Houston, TX, US • Posted 5 hours ago • Updated 5 hours ago
Contract Corp To Corp
Contract W2
1 Year
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • AI Platforms xAmazon Web Services xApplications Architecture xarchitecture xArtificial Intelligence xchatbots xCloud Engineering xCommunication Skills xConsulting xEnterprise Data Management xGenerative AI xIdentity and Access Management xIntegrated Security Management System xLarge Language Models xleadership xMachine Learning xMentoring xMicrosoft Azure xMicrosoft Copilot xMicrosoft Copilot Studio xMoulding Machines xOil and Gas xOpenAI xPython (Programming Language) xRetrieval-Augmented Generation xSelf Motivation xSoftware Applications xstakeholder management xTeam Working xTechnical Communication xTechnical Standard xTechnical Supervision xUser Authentication

Summary

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: , , TN, 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.

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: RTX17ee7d
  • Position Id: 1900-33630-1794512990
  • Posted 5 hours ago
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