Principal Software Engineer – Application Security & AI Trust Architecture

$220K - $380K San Jose, CA, US Senior AI Software Engineer

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Skills & Technologies

AwsAzureGcpKubernetesPythonRagRustTypescript

About This Role

AI job market dashboard showing open roles by category

The application window is expected to close on: 10/30/2026

Meet the Team

At Cisco, we are redefining how our customers experience technology through the power of Cisco IQ Services and Applications. Our mission is to transform CX delivery by building intelligent, scalable platforms that anticipate needs rather than just reacting to them. As a member of our global, diverse, and AI-spec driven team, you will operate at the absolute frontier of innovation. We are deeply committed to leveraging the latest advancements in AI to build robust solutions that solve complex technical challenges for our enterprise customers, fostering a culture of curiosity, collaboration, and rapid iteration.

Your Impact

As a Principal Engineer leading software security, you will be a primary technical authority responsible for defining and driving the security architecture across our software platforms and services. You will bridge the gap between high-level security strategy and hands-on engineering execution, ensuring that our products are secure from the cloud to the box. You will lead cross-functional initiatives, mentor engineering team members, engage with our customers and leverage AI to revolutionize our development lifecycle and threat prevention capabilities.

Rather than focusing on perimeter network defenses or traditional compliance auditing, you will operate as a software-first security leader—collaborating with application teams to design secure-by-default software patterns, implement strict Model Context Protocol (MCP) access boundaries, enforce spec-driven security contracts, and mitigate vulnerabilities unique to autonomous agent workflows (e.g., prompt injection, indirect data exfiltration, unauthorized tool invocation).

AI& Agentic Application Security Architecture:

  • Design trust boundaries, sandboxing models, and execution guardrails for autonomous application agents and LLM tool-calling workflows.
  • Architect granular authentication, authorization, and least-privilege scoping for Model Context Protocol (MCP) servers, tool registries, and external integrations.
  • Mitigate emerging AI threat vectors (e.g., OWASP Top 10 for LLMs, indirect prompt injection, tool hijacking, credential harvesting, and context leakage).

Spec-Driven Security& API Protection:

  • Establish spec-driven security standards across application contracts (OpenAPI, TypeSpec, gRPC/Protobuf), embedding authentication schemes, data sanitization, and authorization scopes directly into machine-readable specs.
  • Implement automated security contract testing and static/dynamic schema validation to detect authorization bypasses, Broken Object Level Authorization (BOLA), and injection vulnerabilities prior to deployment.

Threat Modeling& Secure-by-Design Engineering:

  • Lead comprehensive architectural threat modeling for critical application tiers, distributed business logic, and multi-tenant data boundaries.
  • Create reusable, hardened software design patterns, cryptographic utilities, and session management frameworks for application engineering teams.

DevSecOps& Software Supply Chain Integrity:

  • Architect and scale automated security gates in CI/CD pipelines (SAST, DAST, IAST, software composition analysis, container image signing, and SBOM tracking).
  • Define policy-as-code (e.g., OPA/Rego, Cedar) frameworks to enforce deterministic security baselines across service deployments.

Technical Direction, Governance& Incident Leadership:

  • Serve as the principal technical escalation point for complex application security architecture reviews and critical vulnerability disclosures.
  • Mentor senior software engineers on defensive coding practices, modern API security standards, and zero-trust application design.

Minimum Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.
  • 15+ years of experience in software engineering and application security architecture, including designing, securing, and operating distributed applications.
  • Experience in application security frameworks such as OWASP Top 10, OWASP API Top 10, CWE/SANS 25, OR zero-trust application patterns.
  • Experience in identity and access governance including one or more of OAuth 2.0, OIDC, SAML, mTLS, SPIFFE/SPIRE, or fine-grained authorization models (RBAC, ABAC, ReBAC).
  • Experience in at least one backend language (Python, Go, TypeScript/Node.js, Rust, or Java).
  • Experience integrating security controls into cloud-native architectures such as Kubernetes, AWS/GCP/Azure, API gateways, or service meshes.

Preferred Qualifications

  • Experience with security implications of the Model Context Protocol (MCP) or similar AI tool-invocation interfaces.
  • Experience writing policy-as-code engines (Open Policy Agent, AWS Cedar, Oso/Polar) or custom linter/SAST rules (Semgrep, CodeQL).
  • Active involvement in application security research, CVE publications, open-source security tooling, or industry working groups (OWASP, CNCF Security, OASIS).
  • Relevant security certifications (e.g., CISSP, CSSLP, CCSP, or AWS Certified Security).
  • Experience evaluating and securing LLM-powered applications, tool-use execution loops, and RAG architectures.

Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Message to applicants applying to work in the U.S. and/or Canada:

The starting salary range posted for this position is $233,900.00 to $330,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:

  • 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
  • 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
  • Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
  • Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
  • 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
  • Additional paid time away may be requested to deal with critical or emergency issues for family members
  • Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:

  • .75% of incentive target for each 1% of revenue attainment up to 50% of quota;
  • 1.5% of incentive target for each 1% of attainment between 50% and 75%;
  • 1% of incentive target for each 1% of attainment between 75% and 100%; and
  • Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

The applicable full salary ranges for this position, by specific state, are listed below:

New York City Metro Area:

$233,900.00 - $380,000.00

Non-Metro New York state& Washington state:

$220,900.00 - $344,300.00

  • For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.

** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Salary Context

This $220K-$380K range is above the 75th percentile for AI Software Engineer roles in our dataset (median: $193K across 172 roles with salary data).

Role Details

Company Cisco
Title Principal Software Engineer – Application Security & AI Trust Architecture
Location San Jose, CA, US
Category AI Software Engineer
Experience Senior
Salary $220K - $380K
Remote No

About This Role

AI Software Engineers build the applications and systems that AI models run inside. They own the API layers, data pipelines, frontend integrations, and infrastructure that turn a model into a product users interact with. Every AI company needs engineers who can build the software around the AI.

The challenge is building reliable systems around inherently unreliable components. Models are probabilistic. They'll give different answers to the same question. They hallucinate. They're slow. They're expensive. Your job is to build an application layer that handles all of this gracefully while delivering a product that users trust and enjoy.

Across the 9,653 AI roles we're tracking, AI Software Engineer positions make up 5% of the market. At Cisco, this role fits into their broader AI and engineering organization.

AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.

What the Work Looks Like

A typical week includes: building API endpoints that serve model inference with caching and fallback logic, designing the data pipeline that feeds context to a RAG system, implementing streaming responses in the frontend, debugging a race condition in the async inference pipeline, and optimizing database queries for the vector search layer. It's full-stack engineering with AI at the center.

AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.

Skills Required

Aws (9% of roles) Azure (8% of roles) Gcp (5% of roles) Kubernetes (4% of roles) Python (17% of roles) Rag (7% of roles) Rust Typescript (3% of roles)

Full-stack engineering skills with AI integration experience. Python and TypeScript are the most common requirements. You'll need to understand API design, database architecture, and how to build reliable systems around probabilistic outputs. Experience with streaming, async processing, and caching patterns is increasingly important as real-time AI applications proliferate.

Knowledge of vector databases, embedding APIs, and LLM integration patterns (function calling, structured outputs, retry logic) differentiates AI software engineers from general software engineers. Understanding cost optimization (caching strategies, model routing, batched inference) is valuable since inference costs can dominate application economics.

Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.

Compensation Benchmarks

AI Software Engineer roles pay a median of $220,000 based on 1,448 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $228,700. This role's midpoint ($300K) sits 37% above the category median. Disclosed range: $220K to $380K.

Across all AI roles, the market median is $213,400. Top-quartile compensation starts at $264,230. The 90th percentile reaches $319,400. For comparison, the highest-paying categories include AI Safety ($253,100) and Research Engineer ($252,000). By seniority level: Entry: $110,408; Mid: $193,200; Senior: $228,700; Director: $272,275; VP: $235,000.

Cisco AI Hiring

Cisco has 25 open AI roles right now. They're hiring across AI Software Engineer, AI/ML Engineer, AI Product Manager, Data Engineer. Positions span San Jose, CA, US, Research Triangle Park, NC, US, San Jose, CA. Compensation range: $185K - $449K.

Location Context

Across all AI roles, 6% (568 positions) offer remote work, while 9,010 require on-site attendance. Top AI hiring metros: New York (2,878 roles, $221,000 median); San Francisco (2,413 roles, $264,500 median); Los Angeles (1,340 roles, $210,000 median).

Career Path

Common paths into AI Software Engineer roles include Software Engineer, Full-Stack Developer, Backend Engineer.

From here, career progression typically leads toward Staff Engineer, AI Architect, Engineering Manager.

If you're a software engineer, you're already 80% there. Learn the AI integration patterns: RAG, streaming inference, function calling, structured outputs. Build a project that demonstrates you can wrap an AI model in a production-quality application with proper error handling, caching, and user experience. That's the portfolio piece that gets you hired.

What to Expect in Interviews

Technical screens look like standard software engineering interviews with an AI twist. Expect system design questions about building reliable applications around probabilistic models: handling streaming responses, implementing retry logic for API failures, and designing caching strategies for LLM outputs. Coding rounds test standard algorithms plus practical integration patterns like async processing and rate limiting.

When evaluating opportunities: Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.

AI Hiring Overview

The AI job market has 9,653 open positions tracked in our dataset. By seniority: 193 entry-level, 4,500 mid-level, 3,455 senior, and 1,505 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (568 positions). The remaining 9,010 roles require on-site or hybrid attendance.

The market median for AI roles is $213,400. Top-quartile compensation starts at $264,230. The 90th percentile reaches $319,400. Highest-paying categories: AI Safety ($253,100 median, 57 roles); Research Engineer ($252,000 median, 419 roles); AI Engineering Manager ($251,622 median, 51 roles).

AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.

The AI Job Market Today

The AI job market spans 9,653 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (7,301), Data Scientist (441), AI Software Engineer (438). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.

The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (193) are outnumbered by mid-level (4,500) and senior (3,455) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 1,505 positions, representing the bottleneck between technical execution and organizational strategy.

Remote work availability sits at 6% of all AI roles (568 positions), with 9,010 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.

AI compensation is structured in clear tiers. The market median sits at $213,400. Top-quartile roles start at $264,230, and the 90th percentile reaches $319,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.

Category matters for compensation. AI Safety roles lead at $253,100 median, while Prompt Engineer roles sit at $141,440. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.

The most in-demand skills across all AI postings: Python (1,605 postings), Aws (916 postings), Azure (724 postings), Rag (634 postings), Gcp (522 postings), Pytorch (495 postings), Kubernetes (384 postings), Claude (383 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.

Frequently Asked Questions

Based on 1,448 roles with disclosed compensation, the median salary for AI Software Engineer positions is $220,000. Actual compensation varies by seniority, location, and company stage.
Full-stack engineering skills with AI integration experience. Python and TypeScript are the most common requirements. You'll need to understand API design, database architecture, and how to build reliable systems around probabilistic outputs. Experience with streaming, async processing, and caching patterns is increasingly important as real-time AI applications proliferate.
About 6% of the 9,653 AI roles we track offer remote work. Remote availability varies by company and seniority level, with senior and leadership roles more likely to offer location flexibility.
Cisco is among the companies actively hiring for AI and ML talent. Check our company profiles for detailed breakdowns of open roles, salary ranges, and hiring trends.
Common next steps from AI Software Engineer positions include Staff Engineer, AI Architect, Engineering Manager. Progression depends on whether you lean toward technical depth, people management, or product strategy.

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