AI Engineer – Enterprise AI Platform (Onsite 3–5 days per week)

KayDev Technology is hiring an experienced AI Engineer for a Fortune 500 client building a next-generation enterprise AI platform. You’ll help build the foundation that development teams across the company will use to build, deploy, and scale AI-powered applications.

Location: Houston, TX
Work Arrangement: Onsite 3–5 Days Per Week
Local Candidates: Houston-area candidates strongly preferred
Employment Type: Contract – 12+ Months
Start Date: ASAP
LinkedIn: Established and valid LinkedIn profile required.

Note:

• This is NOT a junior AI/ML developer or a research-only data scientist position.
• The client needs a senior engineer who can independently build, architect, and deliver enterprise AI platform components and applications.

Position Overview

Client is building a next-generation enterprise AI platform, designed to enable development teams across the organization to design, build, deploy, and scale AI-powered applications.

The company is seeking a highly experienced AI Engineer to help architect, develop, and standardize the foundational components of this enterprise AI ecosystem.

This is a hands-on individual contributor (IC) position requiring strong Python development, AI/ML engineering, enterprise AI platform development, and application engineering expertise.

The selected candidate will play a critical role in establishing platform standards, developing reusable AI frameworks, defining reference architectures, and building initial enterprise AI applications such as chatbots, copilots, and AI-powered business solutions.

The ideal candidate is someone who has experience building enterprise AI platforms or AI applications from the ground up and can independently deliver production-quality solutions while collaborating with engineering teams, product stakeholders, and leadership.

Key Responsibilities

1. Enterprise AI Platform Development

• Design, develop, and implement foundational components of Halliburton's enterprise AI platform.
• Define and standardize AI/ML development frameworks, architecture patterns, reusable components, and engineering best practices.
• Establish reference architectures and development standards that can be adopted across multiple enterprise development teams.
• Contribute to building scalable, secure, and reusable AI platform capabilities.
• Help define technical standards for developing, deploying, and maintaining enterprise AI applications.

2. AI Application Engineering

• Design and develop enterprise AI applications, including chatbots, copilots, virtual assistants, and AI-enabled business solutions.
• Build proof-of-concept applications and transform successful prototypes into scalable enterprise solutions.
• Develop reusable application components and frameworks that other engineering teams can leverage.
• Implement AI-powered workflows and integrate enterprise data sources and business applications.
• Deliver production-ready code using Python as the primary development language.

3. Microsoft Copilot & Enterprise Integration

• Work with Microsoft Copilot, Copilot Studio, and related enterprise AI technologies.
• Develop and integrate copilots and AI-powered solutions into enterprise workflows.
• Manage application access, identity integration, authentication, and authorization.
• Integrate AI applications with enterprise identity management and security frameworks.
• Ensure secure architecture, data access controls, and enterprise compliance requirements.

4. AI/ML Engineering & Cloud Integration

• Apply data science and machine learning expertise to enterprise AI application development.
• Integrate cloud-based AI services and platforms, including Azure OpenAI and AWS AI/ML services.
• Develop scalable AI/ML application architectures and supporting services.
• Support deployment, integration, testing, and operationalization of AI applications.
• Evaluate emerging AI technologies and identify opportunities to improve platform capabilities.

5. Technical Leadership & Collaboration

• Operate as a senior hands-on individual contributor, taking ownership of complex engineering deliverables.
• Collaborate with engineering, architecture, product, and leadership teams.
• Mentor junior engineers and contribute to rebuilding a cohesive engineering team.
• Present technical solutions, architecture decisions, and implementation strategies to technical and non-technical stakeholders.
• Support enterprise AI adoption by establishing repeatable development patterns and engineering standards.

Required Qualifications

• Extensive hands-on experience in Python development.
• Strong background in AI/ML engineering, data science, or enterprise AI application development.
• Demonstrated experience building or engineering AI/ML platforms or large-scale enterprise data platforms.
• Experience developing enterprise AI applications such as chatbots, copilots, virtual assistants, or AI-enabled workflows.
• Familiarity with Microsoft Copilot, Copilot Studio, or comparable enterprise AI integration platforms.
• Understanding of enterprise identity management, authentication, authorization, and security integration.
• Experience integrating AI applications with enterprise systems, services, and data sources.
• Ability to design scalable, reusable, and secure AI application architectures.
• Experience working in large enterprise or consulting environments.
• Strong individual contributor capabilities with the ability to independently own technical deliverables.
• Excellent communication, problem-solving, and cross-functional collaboration skills.

Preferred Qualifications

• Experience building enterprise AI platforms from the ground up.
• Experience with Azure OpenAI, Microsoft Azure AI services, or AWS AI/ML services.
• Knowledge of LLM-based applications, generative AI, and enterprise AI architecture.
• Experience with RAG (Retrieval-Augmented Generation), AI agents, and conversational AI.
• Experience with API development, enterprise integrations, and reusable application frameworks.
• Experience with enterprise security, identity governance, and access control.
• Prior experience in oil and gas, energy, or industrial enterprise environments.
• Experience mentoring junior engineers and presenting technical solutions to leadership.

Ideal Candidate Profile

The ideal candidate is a senior hands-on AI Engineer who combines:

• Strong Python software engineering skills.
• Enterprise AI/ML platform engineering experience.
• Experience developing chatbots, copilots, and LLM-powered applications.
• Microsoft Copilot / Copilot Studio or equivalent enterprise AI integration experience.
• Enterprise identity, security, and application integration knowledge.
• Ability to build foundational AI capabilities and reusable architecture from the ground up.