Technology Architect /AI Architect

Job Title: Technology Architect | AI Architect

Location: Englewood, CO(LOCALS)

Duration: 12 Months Contract

Target Start Date: 11 Feb 2026

Experience Required: 10+ Years

Interview Process: Face-to-Face Required

Visa Status: ONLY GC ,USC

Job Summary:

We are seeking a highly experienced Technology Architect - Artificial Intelligence with strong expertise in data engineering, ETL pipeline development, analytics lifecycle management, and AI solution architecture . The ideal candidate will design, develop, and maintain scalable data pipelines and lead end-to-end AI/data engineering initiatives that support analytics, reporting, and advanced modeling solutions.

Must Have Skills:

Design, develop, and maintain scalable ETL pipelines ensuring data quality and availability

Strong expertise in data engineering languages - Scala (preferred) or Java

Proficiency in Python

Experience with Big Data tools and frameworks

Strong communication and presentation skills

Ability to read, write, speak, and understand English fluently

Key Responsibilities: Design and implement scalable ETL pipelines for structured and unstructured data

Ensure data pipeline reliability and performance through monitoring and alerting solutions

Develop and manage CI/CD deployment pipelines for data engineering solutions

Implement data integration solutions to support analytics and reporting needs

Execute the complete analytics lifecycle , including:

Algorithm operationalization (traditionalization)

Model validation

Optimize data architecture to ensure scalability, performance, and security

Collaborate with cross-functional teams including data scientists, business analysts, and application teams

Provide technical leadership and architectural guidance for AI and data engineering initiatives

Nice to Have Skills: Experience delivering enterprise-scale data engineering solutions

Hands-on experience with advanced analytics and machine learning workflows

Strong background in continuous integration and continuous delivery (CI/CD) practices

Experience working in large enterprise environments

Top 3 Responsibilities:

Architect and manage scalable ETL and data integration pipelines

Lead CI/CD implementation for data engineering solutions

Execute and oversee the end-to-end analytics lifecycle , including algorithm operationalization and model validation