AI Engineer

Enspire Partners, Inc.; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Job summary

Enspire Partners, Inc. seeks an experienced AI/ML professional to design, develop, and deploy innovative AI-driven solutions delivering measurable business value in a Houston setting. You will build scalable models, AI-powered applications, and intelligent automation while partnering with business and technology teams.

The role emphasizes responsible AI, governance, and collaboration with data engineering and enterprise platforms to enable enterprise-wide scalability.

Qualifications

• Bachelor’s degree or equivalent in CS/DS/engineering.
• 3+ years AI/ML/Data Science/Advanced Analytics experience.
• 3+ years Python and SQL for AI apps and models.
• Experience deploying ML models lifecycle and monitoring.
• Experience integrating AI/ML into enterprise apps and BI.
• Proficiency with Azure/AWS/Azure AI/OpenAI/Synapse/Fabric.
• Strong data modeling and enterprise reporting skills.
• Experience with ETL/ELT processes and data engineering.
• Excellent communication and cross‑functional collaboration.
• Experience with ERP systems such as Dynamics 365.

Responsibilities

• Design, develop, and deploy scalable ML models including analytics, classification, anomaly detection, and clustering.
• Build AI-powered applications like intelligent assistants and forecasting systems.
• Integrate AI into enterprise apps using Azure AI, OpenAI, and related tech.
• Develop reusable AI frameworks and components for enterprise scalability.
• Collaborate with data engineers to create ML-ready datasets and pipelines.
• Leverage Azure, Fabric, Synapse for scalable AI workloads.
• Embed predictive analytics into BI dashboards and reporting environments.
• Ensure AI solutions align with business goals, standards and governance.
• Create intelligent automation with ML and business rules for monitoring and efficiency.
• Promote Responsible AI with transparency, explainability, and monitoring.
• Maintain security, governance, and regulatory compliance for AI outputs.
• Partner with Finance, Sales, Operations to identify high‑value use cases.
• Present AI insights to both technical and non‑technical audiences.
• Support user adoption through training and documentation.
• Collaborate in cross‑functional teams to solve complex challenges.

Skills

AI/ML expertise

Python

SQL

Data analysis

Communication

Education

Bachelor’s degree in CS/DS/Engineering

Equivalent experience considered

Tools

Azure AI

Azure ML

OpenAI

Synapse

Fabric

Power BI

Job description

We are seeking a highly skilled AI and Machine Learning professional to design, develop, and deploy innovative AI-driven solutions that deliver measurable business value. This role will focus on building scalable machine learning models, intelligent automation capabilities, and enterprise AI applications while partnering closely with business and technology teams.

Key Responsibilities

• Design, develop, and deploy scalable machine learning models, including predictive analytics, classification, anomaly detection, and clustering solutions.


• Build AI-powered applications such as intelligent assistants, forecasting systems, conversational AI tools, and natural language interfaces.


• Integrate AI and machine learning capabilities into enterprise applications using platforms such as Azure AI, OpenAI, and related technologies.


• Develop reusable AI frameworks, services, and components that enable enterprise-wide scalability and standardization.


• Collaborate with data engineering teams to create ML-ready datasets, feature pipelines, and robust data foundations.


• Utilize cloud data platforms such as Azure, Fabric, and Synapse to support scalable AI workloads.


• Embed predictive analytics and AI-driven insights into business intelligence solutions, dashboards, and reporting environments.


• Ensure AI and analytics solutions align with business objectives, reporting standards, and data governance requirements.


• Develop intelligent automation solutions that leverage machine learning and business rules for proactive monitoring, anomaly detection, and operational efficiency.


• Promote Responsible AI practices, including model transparency, explainability, monitoring, and ethical data usage.


• Maintain compliance with security, governance, and regulatory requirements while ensuring the integrity of AI models and outputs.


• Partner with stakeholders across Finance, Sales, Operations, and other functional areas to identify and prioritize high-value AI use cases.


• Present technical concepts and AI-driven insights to both technical and non-technical audiences.


• Support user adoption through training, documentation, and enablement initiatives.


• Collaborate effectively within cross-functional teams to solve complex business and technical challenges.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related discipline. Equivalent experience will be considered.


• 3+ years of experience in AI/ML, Data Science, Advanced Analytics, or a related field.


• 3+ years of hands-on experience with Python and SQL for developing, testing, and deploying AI-driven applications and models.


• Experience building, deploying, monitoring, and managing machine learning models throughout their lifecycle.


• Proven experience integrating AI/ML solutions into enterprise applications and business intelligence platforms.


• Experience with cloud-based AI and data platforms such as Azure, AWS, Azure AI, Azure ML, OpenAI, Synapse, Fabric, or similar technologies.


• Strong understanding of data modeling, dimensional modeling, semantic layers, and enterprise reporting structures.


• Experience designing and supporting ETL/ELT processes and collaborating with data engineering teams.


• Strong analytical, organizational, and problem-solving skills.


• Ability to translate business requirements into scalable technical solutions and align AI initiatives to strategic business outcomes.


• Excellent communication skills with the ability to explain complex technical concepts to diverse audiences.


• Ability to work independently and collaboratively within cross-functional teams.


• Experience with enterprise platforms such as Microsoft Dynamics 365, JD Edwards, or similar ERP systems.


• Background in manufacturing, retail, distribution, supply chain, or related industries.


• Experience developing AI copilots, chatbots, intelligent assistants, or agent-based AI solutions.


• Microsoft certifications in Azure AI, Data & AI, Power BI, or related technologies.


• Experience working with Power BI and advanced analytics reporting solutions.

No third party candidates or C2C. Sponsorship is not offered. Candidates must be located or willing to relocate to Houston, Texas.