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.
