Job Title :AI Architect
Job Type :W2 Contract
Location :Remote
Duration :10 months
Bill rate :$78/Hr on w2
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD
Job Description:
We are seeking an experienced AI Architect to lead the architecture, governance, and strategic implementation of an AI-enabled Quality Engineering Center of Excellence. The candidate will define the target architecture for AI agents, multi-agent orchestration, Retrieval-Augmented Generation (RAG), and enterprise AI adoption across the software development lifecycle. This is a customer-facing onsite role requiring strong AI architecture, engineering, governance, and stakeholder-management capabilities.
Key Responsibilities:
AI Architecture Leadership: Define the enterprise architecture, reference patterns, and technology roadmap for AI-powered Quality Engineering solutions.
Agentic AI and RAG: Design reusable AI-agent patterns and a RAG Knowledge Fabric integrating Jira, Confluence, Git repositories, CI/CD platforms, test assets, ServiceNow, and approved enterprise data sources.
Orchestration and Integration: Design multi-agent orchestration and integration services supporting requirements review, code quality, test preparation, test execution, QE intelligence, and release assurance.
Governance and Responsible AI: Establish Human-in-the-Loop controls, security guardrails, explainability, confidence scoring, model evaluation, observability, auditability, and cost controls.
Stakeholder and Technical Leadership: Lead architecture reviews, prioritize high-value use cases, guide onsite and offshore teams, and communicate solution decisions to business and engineering leadership.
Scale and Adoption: Define the maturity path from supervised to semi-autonomous and autonomous agents while ensuring scalability, reliability, performance, and adoption.
Required Qualifications:
• 10+ years of technology experience, including 5+ years in AI/ML, Generative AI, or intelligent automation.
• Strong experience with LLM applications, Agentic AI, multi-agent systems, RAG, embeddings, vector search, prompt engineering, and AI evaluation.
• Experience with enterprise AI architecture, microservices, APIs, event-driven architecture, containers, and cloud-native deployment.
• Hands-on knowledge of Claude, Gemini, Codex, Azure OpenAI, or equivalent enterprise LLM platforms.
• Proficiency in Python and working knowledge of Java and/or TypeScript, REST APIs, FastAPI, Git, CI/CD, Docker, and Kubernetes.
• Strong knowledge of responsible AI, security, privacy, model-risk controls, monitoring, and production-support practices.
• Strong customer-facing communication, architecture presentation, and cross-functional leadership skills.
Preferred Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• Relevant AI, cloud, architecture, software engineering, or Quality Engineering certifications.
Equal Opportunity Employer : We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
