AI Platform & Security Engineer

191 Altera Corporation; San Jose (CA); On-site; USD 187,000 - 299,000; Full time

Job summary

Altera in San Jose, CA is seeking a Senior AI Platform Engineer to design, deploy, and govern Generative AI solutions across cloud and hybrid environments. You will build scalable AI platforms, model serving infra, and automation, while integrating security, governance, and observability into the AI lifecycle.

The role requires 5+ years in production AI/ML projects, strong Python skills, and expertise in AI orchestration, cloud, and security practices.

Qualifications

• 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 ML apps 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.

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 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.

Skills

Python programming

AI orchestration

Cloud platforms

Containers & Kubernetes

AI security

Model evaluation

Cross-functional collaboration

Problem solving

Communication skills

Security best practices

Education

Bachelor's or Master's in CS/AI/Cybersecurity/SWE

Tools

LangChain

Semantic Kernel

AutoGen

Job description

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 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.

Qualifications

• 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.

Pay Range and Incentives

The pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance. $187.0K - $298.6K USD

We use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations.

Job Type

Job Type: Regular Shift: Shift 1 (United States of America) Primary Location: San Jose, California, United States Additional Locations:

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

About Altera

Altera: Accelerating Innovators Altera provides leadership programmable solutions that are easy-to-use and deploy in applications from cloud to edge, offering limitless AI possibilities. Our end-to-end broad portfolio of products including FPGAs, CPLDs, Intellectual Property, development tools, System on Modules, SmartNICs and IPUs provide the flexibility to accelerate innovation. Altera is helping to shape the future through pioneering innovation that unlocks extraordinary possibilities for everyone on the planet.