AI Platform & Security Engineer
Company: Altera
Location: San Jose, California, United States
Salary: $187k - $298.6k per year
Type: Full-time
Posted: 2026-10-26
About this role
# Job Details:
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## Job 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.
The ideal candidate combines expertise in AI engineering, software development, cloud technologies, and cybersecurity to deliver scalable, secure, and production-ready AI solutions.
Job Responsibilities
- 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 e...