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# AI Platform & Security Engineer

- **Company:** Altera Corporation
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $187,000 - $298,600
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Computing Security, Cloud Engineering, Cyber Security, Computer Programming, Continuous Integration, Identity and Access Management, Python (Programming Language), Key Management, Machine Learning, Cloud Services, Microsoft Copilot, Zero Trust Network Access, Software Deployment, Software Engineering, Software Vulnerability Management, AI Infrastructure, Google Cloud, LangChain, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Software Security, Model Validation, Generative AI, Agentic-AI, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Information Technology, AutoGen, Machine Learning Operations, Prompt Injection, Semantic Kernel, Devsecops, Serverless Computing, Vulnerability Analysis
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/27d75b91-932a-4466-8e4e-dd4a2a0993d1

## About the Role

* Bachelor's or Master's Degree in computer science, Artificial Intelligence, Cybersecurity, Software Engineering, or a related field.
 * 5+ years' Experience building Generative AI, LLM, RAG, Agentic AI, or machine learning applications in production environments.
 * Strong programming skills in Python and modern software development frameworks.
 * Experience with AI orchestration frameworks such as LangChain, Semantic Kernel, AutoGen, or similar technologies.
 * Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.
 * Experience with containers, Kubernetes, Infrastructure as Code, and cloud-native architectures.
 * Knowledge of AI security, application security, cloud security, Zero Trust principles, IAM, vulnerability management, and DevSecOps practices.
 * Experience with model evaluation, AI observability, governance, and responsible AI frameworks.
 * Strong problem-solving, communication, and cross-functional collaboration skills.

## Description

Altera is seeking a talented and driven AI Engineering & Security Engineer to design, develop, and secure next-generation AI platforms, intelligent applications, and cloud-native services. This role focuses on building Generative AI solutions, agentic AI systems, secure AI infrastructure, and enterprise-grade AI platforms while ensuring the confidentiality, integrity, and responsible use of AI technologies., * Design, develop, and deploy Generative AI, LLM, RAG, and agentic AI solutions to solve complex business and engineering challenges.

 * Build and maintain AI platforms, model serving infrastructure, evaluation frameworks, and AI application services in cloud and hybrid environments.
 * Develop intelligent copilots, AI agents, orchestration frameworks, and automation solutions using state-of-the-art AI technologies.
 * Implement AI security best practices, including model protection, prompt injection defenses, data protection, access controls, secrets management, and secure AI deployment patterns.
 * Establish AI governance processes covering responsible AI, model evaluation, monitoring, auditability, compliance, and risk management.
 * Collaborate with product, engineering, data science, and security teams to translate business requirements into scalable and secure AI solutions.
 * Design and implement observability, monitoring, and guardrail frameworks for AI systems to ensure reliability, performance, and trustworthiness.
 * Perform threat modeling, security assessments, vulnerability analysis, and remediation activities across AI applications and cloud infrastructure.
 * Develop and maintain CI/CD pipelines, infrastructure automation, and DevSecOps practices for AI workloads and cloud services.
 * Evaluate emerging AI technologies, foundation models, security tools, and frameworks to drive innovation and improve platform capabilities.
 * Ensure compliance with enterprise security standards, privacy regulations, and industry best practices.
 * Drive the adoption of secure software engineering principles throughout the AI development lifecycle.