ABOUT OUR CLIENT
Our Client is a leading infrastructure solutions provider supporting critical projects across energy, utility, civil, and industrial markets nationwide. With a strong foundation built on expertise, distribution strength, and equipment capabilities, Our Client delivers reliable service and operational excellence across more than 40 locations. Their culture is rooted in collaboration, integrity, and a commitment to doing the right thing every day.
ABOUT THE ROLE
Our Client is seeking an AI Engineer to design, build, and operationalize practical AI solutions across their technology ecosystem. This role owns the full lifecycle of AI delivery, from initial intake and data readiness through prototyping, deployment, and ongoing monitoring. The position plays a critical role in driving measurable business impact while ensuring strong governance and scalability.
RESPONSIBILITIES
Build AI solutions end-to-end from intake through deployment and monitoring
Design and maintain reliable data pipelines and curated tables and views from SQL Server and other sources
Develop AWS Bedrock-powered GenAI and RAG solutions including summarization, extraction, Q&A, and classification
Publish business-ready outputs to Power BI including semantic models, refresh strategies, and KPI definitions
Deploy and productionize models and services using REST APIs, scheduled jobs, and event-driven workflows
Maintain logging, monitoring, and operational runbooks for production systems
Define evaluation metrics, test plans, and acceptance criteria while monitoring quality, drift, latency, and cost
Enforce security and governance standards including least-privilege access, PII handling, auditability, and data lineage
Partner with cross-functional teams including Sales, Operations, Customer Support, and Finance to define requirements and drive adoption
Maintain a clean, organized, and secure development environment
Ensure all systems and tools are used safely and maintained properly
PRIORITY USE CASES
Quoting experience enhancements including AI-assisted workflows for pricing, product matching, and faster turnaround
Product inquiry chatbot for customer Q&A and guided inquiry handling
Product and vendor lookup across catalogs, pricing rules, and historical data
Customer support helpdesk enablement including ticket triage, summarization, and routing
Financial analytics including forecasting, variance analysis, anomaly detection, and executive reporting
QUALIFICATIONS
Proof of eligibility to work in the United States
Bachelors or Masters degree in Computer Science or Computer Engineering
3 or more years of experience in AI or ML engineering, data engineering, analytics engineering, or similar hands-on roles
Strong SQL skills including advanced querying and performance optimization
Strong Python skills including data wrangling, API development, and automation
Experience building and evaluating machine learning solutions with a solid understanding of validation and metrics
Hands-on experience with GenAI tools such as AWS Bedrock or comparable platforms including prompt engineering and RAG concepts
Experience deploying REST APIs and working with Git and production systems including logging and monitoring
Ability to translate business needs into technical solutions with clear documentation
Working knowledge of modern AI platforms such as ChatGPT, Claude, Gemini, Copilot, or Cortex AI
PREFERRED QUALIFICATIONS
Experience with Power BI including data modeling, measures, publishing, and governance
Familiarity with Railway deployments, containerization, CI/CD pipelines, and cloud security practices such as IAM and RBAC
Experience with data quality frameworks, data cataloging, lineage practices, and model or experiment tracking
BENEFITS
PPO medical and dental plans
Vision insurance
Company-paid basic life and AD&D insurance
Voluntary life and AD&D insurance
Short-term and long-term disability coverage
Flexible spending accounts for health and dependent care
Generous 401(k) with company match
WORK DETAILS
Location: Houston, Texas
Job Type: Full-time
Schedule: Monday through Friday during standard business hours
Work Style: Hybrid
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Staffing/Employment Agencies
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