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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff AI Solutions Architect - **Company:** Tenex.ai Inc - **Location:** San Jose, CA, United States - **Experience:** Experienced - **Salary:** $250,000.0 - $350,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computing Platforms, Microsoft Azure, Big Data, Cyber Security, Computer Engineering, Data Architecture, Data Governance, Software Design Patterns, Distributed Data Store, Intrusion Detection and Prevention, Python (Programming Language), Machine Learning, Rapid Prototyping Process, Software Engineering, Privacy Controls, Cloud Platform System, Apache Spark, Containerization, Kubernetes, Information Technology, Real Time Data, Machine Learning Operations, Serverless Computing, Docker - **Published:** August 2, 2026 - **Apply:** https://www.careerboard.com/us/en/find-jobs-in-United-States/-D1AF1E90BD3EB060A3/ ## About the Role * 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 (eg, Python) and familiarity with big data technologies (eg, Spark, distributed databases). Security & Domain Acumen * 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. Soft Skills * 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. Education & Certifications * Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Science, or a related quantitative field. * Relevant certifications in cloud architecture (eg, AWS Certified Solutions Architect), MLOps, or cybersecurity are a strong plus. ## Description 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. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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