AI Assurance Engineer - Irving, TX

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

Role Description

Agentic Platform functioning assurance Engineer

Ensure the quality reliability and trustworthiness of the Store Agent ecosystem through rigorous testing validation monitoring and continuous assurance of AI agents LLMs RAG pipelines and enterprise integrations before and after production deployment

Job Summary

Lead the design and implementation of AI assurance strategies and scalable AI platform architectures to ensure safe accurate secure and compliant AI operations within the Store Agent platform using Azure Data Lake and advanced data governance practices

Job Description

• Own the end-to-end AI assurance strategy for the Store Agent platform ensuring all AI agents operate safely accurately securely and consistently through robust testing governance observability and Responsible AI controls.
• Lead the design and engineering of AI platform solutions focusing on Azure Data Lake data governance master data management MDM and AI assurance within the GEN AI AGENTIC Architecture domain.
• Develop scalable AI platform architectures that support advanced analytics and AI workloads.
• Utilize expertise in Azure Data Lake to build robust data storage and processing frameworks Implement and enforce data governance frameworks and MDM strategies to ensure data quality compliance and trustworthiness.
• Integrate AI assurance practices to validate AI model reliability fairness transparency and compliance.
• Collaborate with cross functional teams to integrate AI platform components with enterprise systems and business processes.
• Drive innovation by leveraging emerging AI technologies best practices and standards.
• Ensure AI platform solutions align with business objectives technology roadmaps and regulatory requirements.
• Mentor and guide engineering teams to adopt architectural standards design principles and AI assurance methodologies.
• Continuously evaluate and optimize platform performance scalability security and ethical AI considerations

Roles And 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 AI 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 in AI assurance data governance and platform technologies to enhance platform capabilities

Other Details

Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits And Perks

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer

The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.