Senior Enterprise AI Solution Architect

Job Description

Senior Enterprise AI Solution Architect (Director Level)

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Location: Parsippany, NJ

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

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Employment Type: 3-months (possibility of extension)

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

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Overview

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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.

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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.

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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.

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Key Responsibilities

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Enterprise AI Strategy & Transformation

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• Define and evolve enterprise AI, Generative AI, and Agentic AI strategies and roadmaps.

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• Establish AI reference architectures, standards, and best practices across the organization.

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• Identify, prioritize, and deliver high-value AI use cases in partnership with business and technology leaders.

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• Lead enterprise-wide AI transformation initiatives and strategic programs.

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• Develop business cases, ROI frameworks, and value realization models for AI investments.

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• Serve as a trusted advisor to executive leadership on emerging AI technologies and industry trends.

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Solution Architecture & Design

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• Architect enterprise-scale AI solutions leveraging Generative AI, Agentic AI, Multi-Agent Systems, Conversational AI, and Voice AI.

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• Design secure, scalable, resilient, and cloud-native architectures.

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• Define architecture patterns for:

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• AI Agent Platforms

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• Multi-Agent Orchestration

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• Enterprise RAG Solutions

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• Knowledge Intelligence Platforms

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• Semantic Search

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• Intelligent Automation

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• AI-Enhanced Service Management

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• Conversational and Voice-Based Solutions

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• Provide technical leadership through architecture reviews and governance processes.

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AI Platform & Technology Leadership

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• Define enterprise AI platforms, operating models, and governance standards.

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• Architect and govern modern AI ecosystems utilizing technologies such as:

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• Microsoft Azure AI Services

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• Azure OpenAI

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• Microsoft AI Foundry

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• Microsoft Copilot

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• Azure AI Search

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• Vector Databases

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• Semantic Kernel

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• LangChain

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• AutoGen

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• CrewAI

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• LLMOps and MLOps Platforms

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• Ensure AI solutions are scalable, observable, maintainable, and aligned with operational excellence objectives.

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Enterprise Integration & Automation

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• Design integrations across complex enterprise technology environments.

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• Establish API strategies and integration patterns that enable successful AI adoption.

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• Drive automation and orchestration initiatives that improve efficiency and business outcomes.

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• Collaborate with enterprise application, infrastructure, and operations teams to deliver connected AI solutions.

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Governance, Security & Responsible AI

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• Define and implement enterprise AI governance frameworks.

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• Ensure adherence to security, privacy, legal, regulatory, and compliance requirements.

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• Partner with security and risk organizations to establish AI guardrails and controls.

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• Develop standards for:

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• Responsible AI

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• AI Security

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• Model Governance

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• Prompt Governance

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• Data Privacy

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• Risk Management

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• Explainability

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• Auditability

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Innovation & Leadership

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• Evaluate emerging AI technologies, platforms, tools, and vendors.

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• Lead proofs-of-concept, pilots, and innovation initiatives.

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• Create future-state architecture roadmaps aligned with organizational strategies.

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• Mentor architects, engineers, and technology teams on AI best practices.

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• Represent the organization in executive discussions, industry forums, and strategic partner engagements.

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Required Qualifications

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Education & Experience

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• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.

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• Master's degree in Technology, Artificial Intelligence, Data Science, Business Administration, or related discipline preferred.

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• 18+ years of overall technology experience.

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• 12+ years in Enterprise Architecture, Solution Architecture, Digital Transformation, or similar leadership roles.

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• 5+ years designing and implementing AI, Machine Learning, Generative AI, or Data Platform solutions.

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• Proven success delivering large-scale enterprise AI initiatives.

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• Experience driving enterprise transformation programs and strategic technology adoption.

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• Strong background working with executive leadership and global stakeholders.

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Technical Expertise

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Artificial Intelligence & Generative AI

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• Generative AI

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• Agentic AI

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• Multi-Agent Systems

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• Retrieval-Augmented Generation (RAG)

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• Large Language Models (LLMs)

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• Prompt Engineering

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• AI Agents

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• Conversational AI

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• Voice AI

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Cloud & Platform Technologies

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• Microsoft Azure

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• Azure OpenAI

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• Azure AI Services

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• Microsoft AI Foundry

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• Azure AI Search

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• Azure Kubernetes Services (AKS)

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• Cloud-Native Architecture

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Software Development & Engineering

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• Python

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• REST APIs

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• Microservices

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• Containers

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• Kubernetes

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• GitHub

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• Azure DevOps

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AI Operations & Data Platforms

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• LLMOps

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• MLOps

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• Data Architecture

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• Vector Databases

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• Knowledge Graphs

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• AI Observability

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• Monitoring & Telemetry

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AI Frameworks & Orchestration

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• Semantic Kernel

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• LangChain

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• AutoGen

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• CrewAI

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• Prompt Flow

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• AI Evaluation Frameworks

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Leadership Competencies

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• Executive-level communication and presentation skills

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• Strategic thinking and enterprise mindset

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• Ability to influence senior leadership and executive stakeholders

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• Strong stakeholder management capabilities

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• Business-focused approach to technology investment and value realization

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• Vendor and partner management expertise

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• Innovation leadership and change management

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• Team development, mentorship, and coaching experience

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• Ability to operate effectively from executive strategy discussions to detailed architecture reviews

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Preferred Certifications

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• AI Architecture Certifications

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• Data Architecture Certifications

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• TOGAF

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• Azure Solutions Architect Expert

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• AWS or GCP Cloud Architecture Certifications

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• PMP

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• Agile Certifications

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• SAFe Certifications

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Disclaimer: Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment.

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EEO: We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws.

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Benefits & Perks: Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee’s needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.

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Pay Disclaimer: The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.