> Markdown version of [/jobs/ext/2646412-ai-ml-platform-architect](https://www.wearedevelopers.com/jobs/ext/2646412-ai-ml-platform-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Platform Architect - **Company:** Levi, Ray & Shoup, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $166,400.0 - $208,000.0 - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing Security, Cloud Engineering, Cyber Security, Information Engineering, Extract Transform Load (ETL), Distributed Systems, Identity and Access Management, Information Security Management, Interoperability, Machine Learning, Software Architecture, Tensorflow, Zero Trust Network Access, Azure Machine Learning, Data Streaming, Google Cloud, Real Time Systems, AI Platforms, Information Technology, Machine Learning Operations, Data Pipelines - **Published:** August 4, 2026 - **Apply:** https://evoportalus.tracker-rms.com/LRS/apply?jobcode=46300 ## About the Role * 7 years of software architecture experience with a strong focus on AI/ML systems. * Expertise in AI/ML frameworks, distributed systems, data engineering, ETL, and streaming architectures. * Hands-on experience with AWS SageMaker, Azure ML, GCP Vertex AI, or similar cloud-native AI platforms. * Knowledge of cybersecurity, cloud security, identity, and posture management technologies. * Proven ability to translate complex technical concepts into business value and customer outcomes. * Strong communication, leadership, and cross-functional collaboration skills. * Self-starter who thrives in fast-paced environments, adapts to changing priorities, and demonstrates strong problem-solving skills. * Bachelor's or Master's degree in Computer Science, AI/ML, or related field, or equivalent experience. ## Description * All legitimate correspondence from our recruiting team will only come from an email address ending in @lrs.com. We do not use generic domains like @gmail.com, @yahoo.com, or @outlook.com. * We never conduct interviews solely via text-based chat on Microsoft Teams, Telegram, or WhatsApp. All virtual interviews involve a scheduled video or phone call with a member of our team. * LRS will never ask a candidate for payment, fees, or to purchase equipment (e.g., laptops, software) as a condition of employment. * All genuine job opportunities are listed directly on our official careers portal at Careers., LRS Consulting Services is seeking an AI/ML Platform Architect for an exciting contract to hire opportunity with our client. Lead the design, architecture, and implementation of an AI/ML platform, services, and solutions. This role will shape the intelligence layer of our Unified Security Posture Management (USPM) platform, driving innovation in AI, machine learning, and automation to deliver actionable business outcomes. You will partner with Product, Engineering, Customer Success, Marketing, Partner Management, and customer stakeholders to develop AI-powered capabilities that unify security posture insights across the cybersecurity ecosystem. Responsibilities * Define and lead the AI/ML architecture for the USPM platform, ensuring scalability, performance, and resilience. * Develop AI-driven analytics across posture management domains, including CSPM, DSPM, ASPM, IAM, and related security disciplines. * Translate business and customer requirements into scalable AI solutions in partnership with Product and Engineering teams. * Design and implement large-scale data pipelines, real-time processing, and machine learning workflows. * Leverage cloud-native AI/ML services across AWS, Azure, and GCP. * Ensure AI solutions align with security, compliance, governance, and Zero Trust principles. * Drive innovation by evaluating and applying emerging AI and cybersecurity technologies. * Collaborate with partners to enable interoperability and integrations across the security ecosystem. * Provide technical leadership, mentorship, and architectural guidance to engineering and data teams. ## Related Videos - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [This App Reached 10,000 Users in One Week. 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