AI Architect

Job-:
Boca Raton, FL, United States

Schedule:

Full time Posted:
Closes:

Summary:

We are seeking a visionary Senior AI Architect to design and build the intelligent orchestration layers and robust data architectures that power ADT’s next-generation AI initiatives. In this role, you will be the driving force behind our enterprise adoption of state-of-the-art LLMs (Gemini Enterprise, OpenAI) and advanced AI orchestration frameworks. Because powerful AI requires exceptional data foundations, you will focus heavily on designing the real-time data pipelines, relational and analytical engines, and retrieval systems necessary to ground our models in reality, leveraging streaming IoT, video, and sensor data.

Additionally, you will champion & partner with engineering teams on use of AI-native developer tools like Cursor and Claude Code to hyper-charge our SDLC.

Duties and Responsibilities:

Enterprise AI Strategy:
Architect and deploy scalable AI solutions leveraging Gemini Enterprise, OpenAI, and Anthropic (Claude) models to solve complex business and security challenges. Build Agentic Systems:
Design and deploy multi-agent AI solutions with advanced orchestration, memory systems, and secure tool integration. Data Architecture for AI:
Design the underlying data architecture required to feed high-quality, real-time data into AI systems, emphasizing massively scalable relational and analytical data stores. Real-Time AI Pipelines:
Enable high-throughput processing of streaming IoT, video, sensor, and event data using event streaming and publish-subscribe messaging systems. Multi-Modal AI Integration:
Apply computer vision, event detection, anomaly detection, and video intelligence to real-world edge and cloud scenarios. Developer Productivity:
Spearhead the adoption of AI-native development environments, specifically driving the integration of Cursor and Claude Code, Gemini Enterprise alongside tools like Bitbucket & Git Hub, into engineering workflows. RAG & Context Systems:
Architect scalable Retrieval-Augmented Generation (RAG) systems, integrating vector databases and semantic search to ground LLMs in enterprise data. AI Platform Scale & Efficiency:
Architect secure, scalable, and cost-efficient AI platforms across multi-cloud environments, optimizing model latency, token usage, and system costs. Responsible AI & Governance:
Implement AI governance, privacy preservation, security protocols, and compliance best practices. Cross-Functional Leadership:
Partner with Data Engineering, Product, and Security teams to mentor teams, guide architecture decisions, and ensure AI solutions are deeply integrated into ADT's ecosystem. Qualifications and Requirements:

Education:

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field (or an equivalent amount of work experience).

Experience:

15+ years of core experience in software engineering, data engineering, or cloud architecture. AI/ML

Experience:

4+ years of hands-on experience designing and delivering production-grade machine learning or AI systems. GenAI

Experience:

2+ years of direct experience building and deploying GenAI applications, LLMs, or agent-based solutions. Platform & Integration Ecosystems:
Hands-on experience working with GCP, and familiarity with Salesforce and Oracle Cloud platforms, including their corresponding data services and integration tools. Enterprise AI Platforms:

Experience with customer experience and service management AI platforms (such as Sierra, Google Agent Assist, or Service Now AI) is a strong plus. System Design:
Proven track record of designing and implementing complex, distributed solutions on multiple enterprise-scale platforms. Technical Expertise:
Core LLMs:
Gemini Enterprise, OpenAI…