Title: AI Architect (Hybrid)
Location: Houston, TX
Duration: 12 Months Contract
Interview Mode: Video
SUBMISSION REQUIREMENTS:
Need Genuine LinkedIn- NO RECENT OR MULTIPLE LINKEDIN
Must have full educational details with University Name and year of completion in resume.
WITHOUT ABOVE MENTIONED PREREQUISITE RESUME WILL BE DEEMED AS FAKE.
Job Description:
Position Overview
We are seeking a highly experienced Senior AI Architect to lead the strategy, governance, architecture, and adoption of AI capabilities across a global Quality Assurance organization.
This individual will serve as the central point of accountability for transforming individual AI and QA initiatives into a cohesive, governed, reusable, and value-driven enterprise capability. The AI Architect will partner with QA leadership, engineering teams, enterprise architecture, security, vendors, and business stakeholders to establish scalable AI standards and solutions that accelerate adoption while reducing technical, operational, and governance risk.
This is a strategic and technical leadership role requiring someone who can operate at both the enterprise architecture level and the execution/governance level, particularly within software testing, QA automation, generative AI, and AI-enabled engineering environments.
Key Responsibilities
AI Strategy & Governance
Enterprise AI Architecture
QA & Software Testing Transformation
Technology & Integration Architecture
Define architecture and integration approaches across enterprise platforms including:
Identify opportunities to create reusable AI services, components, agents, prompts, and integration patterns rather than developing isolated point solutions.
Responsible AI, Security & Risk Management
Vendor & Technology Management
Reusable AI Capabilities & Knowledge Management
Innovation & Proof-of-Concept Governance
Adoption & Change Enablement
AI Value Realization
Required Qualifications
Preferred Technical Experience
Experience with several of the following is strongly preferred:
Ideal Candidate
The ideal candidate is not simply an AI developer or traditional QA architect. This person should be able to own the AI architecture and governance strategy across an enterprise QA organization, while still being technical enough to challenge solution designs, establish architecture standards, evaluate emerging technologies, and guide engineering teams.
They should be comfortable moving between executive strategy discussions and detailed technical architecture conversations and be capable of bringing structure and accountability to multiple AI initiatives occurring simultaneously across teams and vendors.
Expected Outcomes
Over the course of the engagement, this individual will help establish:
Himanshu Goswami
Sr. IT Technical Recruiter
Stellent IT Phone:
Email: Himanshu.goswami
Gtalk: Himanshu.goswamiom