Staff AI Solutions Architect jobs in United States
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TENEX.AI · 17 hours ago

Staff AI Solutions Architect

TENEX.AI is an AI-native, automation-first Managed Detection and Response provider focused on enhancing cybersecurity posture. As a Staff AI Solutions Architect, you will lead the design and implementation of AI and machine learning solutions, collaborating with various teams to ensure optimal performance and security in the deployment of these technologies.

Artificial Intelligence (AI)Cyber SecurityNetwork SecuritySaaS

Responsibilities

Define AI Solution Architecture & Vision: Focusing on our entire security platform, setting the technical strategy, design patterns, and execution roadmap for all new and existing AI/ML features, including threat detection, risk scoring, and automation
Lead Technical Design & Prototyping: Creating high-level and detailed architectural designs, technical specifications, and proof-of-concepts for complex AI systems, ensuring they meet strict requirements for performance, scalability, and security
Drive MLOps and Deployment Excellence: Establishing best practices for model development lifecycle, CI/CD pipelines, monitoring, and automated retraining to ensure reliable, high-quality, and continuous operation of AI models in a production environment
Collaborate with Data Science and Engineering : Select appropriate technologies, optimize model performance, and ensure seamless integration of AI services into the existing platform architecture and customer-facing interfaces
Serve as a Technical Expert: Advisor to executive leadership, product managers, and customers, articulating the value, technical feasibility, and architectural trade-offs of proposed AI solutions
Ensure Security and Compliance : Designing AI solutions with robust data governance, privacy controls, and adherence to security best practices relevant to a regulated MSSP environment
Mentor and Elevate Technical Talent: Give guidance across the Engineering and Data Science teams, fostering a culture of architectural excellence, reproducible research, and deployment rigor

Qualification

AI/ML Solutions ArchitectureMLOps PrinciplesCloud Platform ExperienceContainerization DockerContainerization KubernetesProgramming (Python)Cybersecurity Domain KnowledgeCloud Architecture CertificationPassion for AICommunication SkillsStrategic Thinking

Required

8+ years of progressive experience in software engineering, data science, or machine learning, with 3+ years in a dedicated Solutions Architect or equivalent senior technical role for an AI/ML product
Proven track record of designing, building, and deploying large-scale, enterprise-grade AI/ML systems in a production environment, preferably within a major cloud platform (AWS, Azure, or GCP)
Deep expertise in MLOps principles, containerization (Docker, Kubernetes), model serving frameworks, and cloud-native services for data and machine learning
Expertise in common programming languages for data science (e.g., Python) and familiarity with big data technologies (e.g., Spark, distributed databases)
Strong experience designing for the cybersecurity, enterprise SaaS, or B2B technology industry is required, with a focus on threat detection, security operations (SOC), and incident response workflows
Strong understanding of security data types (logs, network telemetry, endpoint data) and experience in how AI/ML can be applied to simplify and automate threat analysis and response
Knowledge of complex data architectures for high-volume, real-time data ingestion and processing
Exceptional communication, whiteboarding, and technical presentation skills, with a proven ability to translate highly technical concepts into clear, concise rationale for both technical and non-technical stakeholders, including executive leadership
Strong strategic thinking and analytical skills to resolve complex architectural trade-offs and prioritize solutions based on business value and risk reduction
A strong passion for applying AI to solve critical, real-world security challenges
Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Science, or a related quantitative field

Preferred

Relevant certifications in cloud architecture (e.g., AWS Certified Solutions Architect), MLOps, or cybersecurity are a strong plus

Benefits

Competitive salary and benefits package.
A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.

Company

TENEX.AI

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TENEX.AI is a cybersecurity company that utilizes AI and human expertise to help enterprises protect their digital assets.

Funding

Current Stage
Growth Stage
Total Funding
$27M
Key Investors
Crosspoint Capital PartnersAndreessen Horowitz
2025-09-11Series A· $27M
2025-01-20Seed

Leadership Team

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Eric Foster
CEO
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Edwin Solis
Co-Founder & Chief Revenue Officer (CRO)
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Company data provided by crunchbase