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Remote Injection Molding Process Engineer Jobs in Phoenix, AZ

Project Engineer - Tooling | Remote

Phoenix, AZ ยท On-site +1

$60K - $65K/yr

Monitor productivity and drive process improvements * Investigate and implement source control ... This role is considered a Remote position. Travel Requirements: Due to the nature of the work, no ...

Software Engineer II (Remote)

Phoenix, AZ ยท On-site +1

$105K - $145K/yr

Overview This is a remote role that may only be hired in the following location(s): CA. We have a ... Knowledge of First Citizens Bank systems and processes * 3+ years of back-end microservices focused ...

Software Engineer II (Remote)

Phoenix, AZ ยท Remote

$105K - $145K/yr

Overview This is a remote role that may only be hired in the following location(s): CA. We have a ... Knowledge of First Citizens Bank systems and processes * 3+ years of back-end microservices focused ...

New

Software Engineer II (Remote)

Phoenix, AZ ยท Remote

$105K - $145K/yr

Overview This is a remote role that may only be hired in the following location(s): CA. We have a ... Knowledge of First Citizens Bank systems and processes * 3+ years of back-end microservices focused ...

New

Senior Android Developer

Chandler, AZ ยท Remote

$59.25 - $75.25/hr

... Injection experience - Strong Kotlin experience - Strong unit testing experience - Experience ... To conduct comprehensive code reviews, establish and oversee quality assurance processes ...

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Showing results 1-20

Remote Injection Molding Process Engineer information

See Phoenix, AZ salary details

$49.1K

$91.4K

$141.5K

How much do remote injection molding process engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for remote injection molding process engineer in Phoenix, AZ is $91,365.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $102,300.00 per year, depending on experience, location, and employer.

What is the difference between Remote Injection Molding Process Engineer vs Remote Manufacturing Engineer?

AspectRemote Injection Molding Process Engineer
Primary FocusDesign, optimize, and troubleshoot injection molding processes for plastic parts remotely
CertificationsPlastic injection molding certifications, process engineering credentials
Work EnvironmentManufacturing facilities, labs, or remote collaboration with on-site teams
Industry UsagePlastic manufacturing, automotive, consumer goods

Remote Injection Molding Process Engineers specialize in managing injection molding processes remotely, focusing on process optimization and troubleshooting. In contrast, Remote Manufacturing Engineers have a broader scope, overseeing various manufacturing processes. Both roles require similar certifications and often work in related industries, but their core responsibilities differ in process specialization versus overall manufacturing management.

What are the most commonly searched types of Injection Molding Process Engineer jobs in Phoenix, AZ? The most popular types of Injection Molding Process Engineer jobs in Phoenix, AZ are:
What are popular job titles related to Remote Injection Molding Process Engineer jobs in Phoenix, AZ? For Remote Injection Molding Process Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Injection Molding Process Engineer jobs in Phoenix, AZ look for? The top searched job categories for Remote Injection Molding Process Engineer jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Remote Injection Molding Process Engineer jobs? Cities near Phoenix, AZ with the most Remote Injection Molding Process Engineer job openings:
Senior AI Security and Governance Engineer

Senior AI Security and Governance Engineer

Viavi Solutions

Chandler, AZ โ€ข On-site, Remote

$112K - $154K/yr

Full-time

Posted 9 days ago


Job description

Summary:

VIAVI (NASDAQ: VIAV) is a global provider of network test, monitoring and assurance solutions for telecommunications, cloud, enterprises, first responders, military, aerospace, and railway. VIAVI is also a leader in light management technologies for 3D sensing, anti-counterfeiting, consumer electronics, industrial, automotive, government and aerospace applications.
We are the people behind the products that help keep the world connected at home, school, work, at play, and everywhere in between. VIAVI employees are passionate about supporting customer success and we welcome people who bring their best every day to the company - to question, to collaborate and to push for solutions that will delight our customers.
Senior AI Security and Governance Engineer
Job Summary:
VIAVI Solutions is seeking a Senior AI Security & Governance Engineer to lead the company's strategy for securing AI technologies across the enterprise. As AI adoption accelerates across VIAVI's products and corporate environments, this role serves as the primary authority on three interconnected pillars: AI compliance and governance, AI security and secure product development, and data security. The engineer will drive discovery and management of AI usage, establish enterprise-wide guardrails, and protect sensitive data across AI workflows from model inputs and outputs to inter-agent communication and third-party integrations.
This role works in close partnership with Engineering, Legal, Privacy, Product, and Risk teams, and reports to the CISO.

Duties & Responsibilities:

Key Responsibilities:

AI Compliance & Governance

  • Define and own VIAVI's enterprise AI governance framework, translating policy into enforceable technical controls aligned with NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
  • Establish and maintain an AI risk tiering and classification system covering data sensitivity, model risk, autonomy level, and business exposure.
  • Collaborate with IT, Procurement, and Legal to operationalize an AI tool approval and onboarding process. Build and operate a continuous AI discovery program to identify unsanctioned AI tools, embedded AI features in approved SaaS applications, and browser-based AI interactions across the enterprise.
  • Build and operate AI intake workflows to evaluate, approve, and track all new AI use cases, tools, models, and integrations before production deployment.
  • Partner with Legal, Privacy, and Compliance teams to define AI exception and waiver processes; support internal audits and regulatory examinations.
  • Stay ahead of emerging AI regulations and industry standards including sector-specific requirements and translate them into actionable policy and controls.

AI Security, Secure Product Development & Operational Safeguards

  • Lead AI-specific threat modeling across the full AI lifecycle covering prompt injection, data leakage, model poisoning, adversarial attacks, tool abuse, privilege escalation, and agentic supply-chain risks.
  • Define and enforce secure AI architecture patterns and prohibited design anti-patterns for LLM-powered applications, autonomous agents, and multi-agent workflows.
  • Partner with product and platform engineering teams to embed security controls natively into AI development pipelines (S-SDLC / Secure AI Development Lifecycle), including secure CI/CD gates, pre-production reviews, and post-deployment monitoring.
  • Design and operationalize runtime protections for AI systems including prompt injection detection, jailbreak protection, output content controls, and abuse detection for high-throughput environments.
  • Define Human-on-the-Loop (HOTL) review checkpoints for autonomous agentic workflows where high-risk decisions require human oversight before execution.

Data Security for AI

  • Design and enforce granular data access controls for AI systems, ensuring least-privilege access to tools, data sources, APIs, and enterprise platforms invoked by AI agents; enforce clear segregation of duties across agent orchestration layers.
  • Implement data usage monitoring across AI workflows to detect unauthorized data access, over-permissioned AI agents, sensitive data exposure in model inputs/outputs, and policy violations in near-real time.
  • Develop and operationalize controls to prevent data exfiltration through AI channels, including prompt-based exfiltration via LLMs, data leakage through RAG retrieval pipelines, and output exfiltration through API integrations and third-party AI services.
  • Establish AI-specific data classification policies and enforce data boundary controls, retention limits, and usage constraints for data ingested by or generated by AI systems.

Pre-Requisites / Skills / Experience Requirements:

Required Qualifications:

  • Minimum of a Bachelor's (Preferred Master's); preferably Computer Science/Computer Engineering or a related field
  • 8-12+ years in security architecture, application security, cloud security, or a closely related field.
  • 3+ years of hands-on experience securing AI/ML or LLM-based systems in enterprise environments, including practical knowledge of prompt injection, data exfiltration through AI APIs, and agentic risk.
  • Demonstrated experience defining and implementing AI governance frameworks (OWASP Top 10 for LLM, NIST AI RMF, ISO/IEC 42001, EU AI Act, or equivalent).
  • Strong background in threat modeling, secure design review, and risk management across complex distributed systems.
  • Hands-on experience with data loss prevention (DLP), CASB, SWG, or equivalent technologies applied to AI and SaaS environments.
  • Experience designing and enforcing granular access control frameworks (RBAC, ABAC) for AI agents, tools, and data pipelines.
  • Strong written and verbal communication skills including executive-level reporting and the ability to translate complex AI risk into business language.
  • Ability to read and review code (Python, JavaScript/TypeScript, or similar) to understand AI workflows, APIs, and failure modes.

If you have what it takes to push boundaries and seize opportunities, apply to join our team today.

VIAVI Solutions is an equal opportunity and affirmative action employer - minorities/females/veterans/persons with disabilities.