Senior Enterprise AI Solution Architect

Senior Enterprise AI Solution Architect (Director Level)

Location: Parsippany, NJ

Schedule: (Onsite preferred, open to remote/traveling onsite 2x a month 3-4 days)

Employment Type: 3-months (possibility of extension)

Pay: $140-160/hr (W-2/40hrs a week)

Overview

Brooksource is seeking a highly accomplished Senior Enterprise AI Solution Architect (Director Level) to lead the strategy, architecture, and implementation of enterprise-scale Artificial Intelligence solutions for a global organization undergoing significant AI-driven transformation.

This is a highly visible leadership opportunity for a seasoned technology leader who can bridge executive strategy and technical execution. The ideal candidate will define enterprise AI architecture, establish AI governance frameworks, drive adoption of Generative AI and Agentic AI solutions, and partner with senior business and technology stakeholders to deliver measurable business outcomes.

The successful candidate will help shape the future of enterprise AI capabilities across areas including intelligent automation, digital operations, enterprise knowledge management, service management, and AI-powered productivity platforms.

Key Responsibilities

Enterprise AI Strategy & Transformation

• Define and evolve enterprise AI, Generative AI, and Agentic AI strategies and roadmaps.
• Establish AI reference architectures, standards, and best practices across the organization.
• Identify, prioritize, and deliver high-value AI use cases in partnership with business and technology leaders.
• Lead enterprise-wide AI transformation initiatives and strategic programs.
• Develop business cases, ROI frameworks, and value realization models for AI investments.
• Serve as a trusted advisor to executive leadership on emerging AI technologies and industry trends.

Solution Architecture & Design

• Architect enterprise-scale AI solutions leveraging Generative AI, Agentic AI, Multi-Agent Systems, Conversational AI, and Voice AI.
• Design secure, scalable, resilient, and cloud-native architectures.
• Define architecture patterns for:
• AI Agent Platforms
• Multi-Agent Orchestration
• Enterprise RAG Solutions
• Knowledge Intelligence Platforms
• Semantic Search
• Intelligent Automation
• AI-Enhanced Service Management
• Conversational and Voice-Based Solutions
• Provide technical leadership through architecture reviews and governance processes.

AI Platform & Technology Leadership

• Define enterprise AI platforms, operating models, and governance standards.
• Architect and govern modern AI ecosystems utilizing technologies such as:
• Microsoft Azure AI Services
• Azure OpenAI
• Microsoft AI Foundry
• Microsoft Copilot
• Azure AI Search
• Vector Databases
• Semantic Kernel
• LangChain
• AutoGen
• CrewAI
• LLMOps and MLOps Platforms
• Ensure AI solutions are scalable, observable, maintainable, and aligned with operational excellence objectives.

Enterprise Integration & Automation

• Design integrations across complex enterprise technology environments.
• Establish API strategies and integration patterns that enable successful AI adoption.
• Drive automation and orchestration initiatives that improve efficiency and business outcomes.
• Collaborate with enterprise application, infrastructure, and operations teams to deliver connected AI solutions.

Governance, Security & Responsible AI

• Define and implement enterprise AI governance frameworks.
• Ensure adherence to security, privacy, legal, regulatory, and compliance requirements.
• Partner with security and risk organizations to establish AI guardrails and controls.
• Develop standards for:
• Responsible AI
• AI Security
• Model Governance
• Prompt Governance
• Data Privacy
• Risk Management
• Explainability
• Auditability

Innovation & Leadership

• Evaluate emerging AI technologies, platforms, tools, and vendors.
• Lead proofs-of-concept, pilots, and innovation initiatives.
• Create future-state architecture roadmaps aligned with organizational strategies.
• Mentor architects, engineers, and technology teams on AI best practices.
• Represent the organization in executive discussions, industry forums, and strategic partner engagements.

Required Qualifications

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
• Master’s degree in Technology, Artificial Intelligence, Data Science, Business Administrati…