AI Platform & Security Engineer

Altera Semiconductor•San Jose, CA

21h

About The Position

Altera is seeking an AI Engineering & Security Engineer to design, develop, and secure next-generation AI platforms, intelligent applications, and cloud-native services. The role focuses on Generative AI solutions, agentic AI systems, secure AI infrastructure, and enterprise-grade AI platforms, while protecting the confidentiality, integrity, and responsible use of AI technologies. The successful candidate will combine AI engineering, software development, cloud technology, and cybersecurity expertise to deliver scalable, secure, production-ready solutions. This position is based in San Jose, California. The stated pay range applies to the Bay Area, California, and is $187,000–$298,600 USD. Actual salary may vary based on job location and job-related knowledge, skills, experience, and training. Incentive opportunities are also offered based on individual and company performance. The company uses artificial intelligence to screen, assess, or select applicants. Applicants must be eligible for any required U.S. export authorizations.

Requirements

Bachelor's or master's degree in computer science, artificial intelligence, cybersecurity, software engineering, or a related field.
At least 5 years of 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 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.
Eligibility for any required U.S. export authorizations.

Responsibilities

Design, develop, and deploy Generative AI, LLM, RAG, and agentic AI solutions for 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.
Implement AI security practices, including model protection, prompt-injection defenses, data protection, access controls, secrets management, and secure deployment patterns.
Establish AI governance processes for 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, secure AI solutions.
Design and implement observability, monitoring, and guardrail frameworks to support AI system reliability, performance, and trustworthiness.
Perform threat modeling, security assessments, vulnerability analysis, and remediation 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 improve platform capabilities and drive innovation.
Ensure compliance with enterprise security standards, privacy regulations, and industry best practices.
Promote secure software engineering principles throughout the AI development lifecycle.