AI Architect

Role: AI Architect

Location: Hybrid 2-3 days - Dallas, TX

Exp: 15+ years

C2C or W2

Job Description:

he AI Transformation Principal Architect is the senior-most technology leader responsible for defining and governing the enterprise AI architecture strategy, platforms, and operating model. The role translates business vision into scalable AI solutions, drives enterprise-wide AI adoption, establishes governance and Responsible AI standards, and provides technical leadership across AI transformation initiatives.

Key Responsibilities

• Define the enterprise AI vision, target-state architecture, and transformation roadmap aligned to business strategy.
• Lead architecture and design for AI ecosystems spanning GenAI, AI/ML, agentic AI, data platforms, and cloud infrastructure.
• Establish architecture standards, reusable patterns, reference architectures, and governance frameworks for enterprise AI adoption.
• Provide technical oversight for AI solutions including LLMs, RAG, vector databases, AI agents, model serving, observability, and security.
• Design AI-enabled operating models, organizational structures, and SDLC transformation strategies.
• Evaluate emerging AI technologies and guide enterprise technology selection and investment decisions.
• Establish Responsible AI, security, privacy, compliance, and risk management standards.
• Act as a trusted advisor to executives, translating business objectives into AI technology strategies and roadmaps.
• Lead architecture communities, mentor architects and engineers, and build AI Centers of Excellence (CoE).

Key Deliverables

Strategy & Architecture

• Enterprise AI Strategy
• AI Transformation Roadmap
• Target-State Architecture
• AI Operating Model

Governance

• AI Governance Framework
• Architecture Standards
• Responsible AI Controls
• Security & Compliance Guidelines

Solutioning

• AI Platform Blueprint
• Reference Architectures
• GenAI and Agentic AI Design Patterns
• Technology Selection Recommendations

Value Realization

• AI Adoption Dashboards
• Architecture KPIs
• Business Value Tracking Frameworks
• Transformation Maturity Assessments

Core Skills

• Enterprise Architecture & AI Strategy
• GenAI, LLMs, RAG, Agentic AI, Knowledge Graphs
• AI/ML and Data Platforms
• Cloud Architecture (Azure, AWS, Google Cloud Platform)
• AI Governance, Security, and Responsible AI
• Executive Advisory & Stakeholder Management
• Technical Leadership and Mentorship
• Operating Model and Digital Transformation Design

Success Measures

Success is measured through:

• Revenue and business value generated from AI initiatives
• Productivity and efficiency improvements
• Time-to-market acceleration
• Enterprise AI adoption and operating model maturity
• Number of AI use cases successfully scaled to production
• Platform reusability and architecture compliance
• Reduction in technical debt
• Scalability, reliability, and security of AI platforms
• Realized versus planned transformation outcomes

One-Line Summary: The AI Transformation Principal Architect owns the end-to-end AI architecture vision, governance, and technology strategy, ensuring that AI transformation initiatives are scalable, secure, compliant, and deliver measurable business value at enterprise scale.