AI Platform & Security Engineer
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Role details
Tech stack
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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., * 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.
Requirements
- Bachelorβs or Masterβs Degree in computer science, Artificial Intelligence, Cybersecurity, Software Engineering, or a related field.
- 5+ yearsβ 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.
Benefits & conditions
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.
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