AI Platform Assurance Architect

LTM; Irving (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Comprehensive Medical Plan

401(k) Plan with Company match

Paid Holidays

Job summary

LTIMindtree in Irving, TX is seeking an Agentic Platform functioning assurance Engineer to lead AI assurance strategy and secure, compliant AI operations across the Store Agent platform using Azure Data Lake and governance best practices.

You will design scalable AI platform architectures, implement data governance and MDM strategies, and collaborate with cross-functional teams to align with business and regulatory requirements.

Qualifications

• Experience with AI assurance and Responsible AI controls.
• Strong knowledge of Azure Data Lake and data governance.
• Experience in master data management (MDM) and enterprise AI platform engineering.

Responsibilities

• Lead architecture design and implementation of AI platforms within the GEN AI AGENTIC Architecture skill cluster.
• Define, implement and enforce data governance policies and master data management processes.
• Architect and oversee deployment of Azure Data Lake solutions for efficient data ingestion, storage and processing; incorporate AI assurance frameworks to monitor and validate model performance, fairness and compliance.
• Collaborate with stakeholders to translate business and regulatory requirements into technical designs.
• Drive strategic initiatives related to AI platform engineering, architecture and AI assurance.
• Provide technical leadership and mentorship to associate and senior engineers.
• Ensure compliance with organizational regulatory and ethical standards for data management and AI usage. Monitor emerging trends to enhance platform capabilities.

Job description

LTIMindtree in Irving, TX is seeking an Agentic Platform functioning assurance Engineer to lead AI assurance strategy and secure, compliant AI operations across the Store Agent platform using Azure Data Lake and governance best practices.

You will design scalable AI platform architectures, implement data governance and MDM strategies, and collaborate with cross-functional teams to align with business and regulatory requirements.