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
- 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.
Skills Required
- Bachelor's or Master's degree in computer science, artificial intelligence, cybersecurity, software engineering, or a related field
- 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
Altera (altera.com) Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Altera (altera.com) and has not been reviewed or approved by Altera (altera.com).
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Retirement Support — Feedback suggests retirement programs are robust, with offerings such as a 401(k) and a pension. This breadth supports long-term financial security.
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Leave & Time Off Breadth — Feedback suggests time-off policies are generous, including PTO, paid sick days, and paid holidays. Wellness initiatives like gym memberships further support balance.
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Parental & Family Support — Feedback suggests parental leave is generous. Family-building support, including fertility benefits and adoption reimbursement, is highlighted as part of the package.
Altera (altera.com) Insights
What We Do
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.
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