AI Architect

CRB Workforce; United States; Remote; USD 200,000 - 250,000; Full time

Benefits offered by this job

Full benefits

Equity

Job summary

CRB Workforce, LLC seeks an AI Architect to lead AI strategy and implementation for enterprise IoT/OT security. You will design, develop, and deploy AI-driven services and models at scale, collaborating with product, security, and engineering teams.

The role requires deep backend engineering, Java/Spring expertise, and proven leadership in deploying production-grade AI systems. This is a direct hire with remote work options and a salary of $200,000–$250,000 plus equity.

Qualifications

• 7+ years backend engineering experience (Java/Spring).
• Proven AI leadership and architecture delivery.
• Experience deploying AI at scale in cloud environments.

Responsibilities

• Own AI strategy and roadmap for enterprise IoT/OT security platform.
• Architect, develop, and launch AI-driven applications into production.
• Build lightweight models for data normalization, classification, deduplication, fingerprinting.
• Analyze datasets to derive automated rules and ML models.

Skills

Backend engineering

Java

Spring

AI leadership

Generative AI

LLM APIs

Data pipelines

Cloud-native

Solution architecture

Production deployment

Tools

Vector databases

Job description

We are currently looking for a AI Architect. We have 1 open position.

Job Details

• Location : Remote
• Salary : $200,000 - $250,000 + Equity
• Benefits : Full benefits
• Type : Direct Hire
• Sponsorship Available : No

Must Have Skills

A minimum of 7 years of backend engineering experience, including proficiency with Java and Spring, combined with a strong blend of hands-on development, solution architecture, and strategic AI leadership Significant practical experience designing, building, and deploying AI solutions, including deep familiarity with Generative AI, large language models, AI agents, retrieval-augmented generation architectures, vector databases, and contemporary AI frameworks Demonstrated expertise integrating production-quality AI capabilities into existing platforms using public LLM APIs, including leveraging LLMs to produce scripts, rules, and structured logic for downstream system automation Track record of independently driving technical initiatives from initial concept all the way through production release, with the ability to operate effectively in ambiguous environments and establish processes where none currently exist Experience shaping product direction and crafting technology roadmaps, along with excellent communication skills that enable conveying complex technical ideas clearly to audiences across all levels of technical proficiency Proven ability to design and build scalable, cloud-native applications and services that support enterprise-grade AI workloads

Responsibilities

Establish and take ownership of the AI strategy and implementation roadmap for our client's enterprise IoT and OT security platform, identifying areas where AI, machine learning, and generative AI can enhance current and upcoming product offerings Architect, develop, and launch AI-driven applications and services into production, including building or fine-tuning lightweight models for tasks such as data normalization, classification, deduplication, and fingerprinting Examine existing datasets to uncover patterns and translate insights into new automated rules or machine learning models, while building the scalable backend infrastructure needed to power AI initiatives Partner closely with product management, engineering, executive leadership, and customer-facing teams to ensure AI efforts are aligned with overarching business goals Assess emerging AI technologies and evaluate their relevance to cybersecurity, operational technology, and IoT use cases, while guiding key architectural decisions around AI platforms, model deployment, data pipelines, and supporting infrastructure Act as the organization's primary AI subject matter expert, translating sophisticated technical concepts into clear, actionable guidance for both technical and non-technical stakeholders

CRB Workforce, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.