Job description

Job Details: 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 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. 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. Qualifications: 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. 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.

Requirements

Must-haves

The ideal candidate combines expertise in AI engineering, software development, cloud technologies, and cybersecurity to deliver scalable, secure, and production-ready AI solutions.
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.
We use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations.
Qualifications: 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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmci/cdmachine learningpythonazureawskubernetes

Platform: workday
Effort: long