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Ai Developer information
See Oregon salary details
$42.3K - $53.7K
1% of jobs
$53.7K - $65.1K
4% of jobs
$65.1K - $76.5K
2% of jobs
$76.5K - $87.9K
4% of jobs
$87.9K - $99.2K
5% of jobs
$109.9K is the 25th percentile. Wages below this are outliers.
$99.2K - $110.6K
9% of jobs
$110.6K - $122K
9% of jobs
$122K - $133.4K
10% of jobs
The median wage is $142K / yr.
$133.4K - $144.8K
9% of jobs
$144.8K - $156.2K
6% of jobs
$160.7K is the 75th percentile. Wages above this are outliers.
$156.2K - $167.6K
41% of jobs
$42.3K
$136.8K
$167.6K
How much do ai developer jobs pay per year?
What does an AI developer do?
What are the key skills and qualifications needed to thrive in the Ai Developer position, and why are they important?
To thrive as an AI Developer, you need a solid understanding of machine learning algorithms, programming languages such as Python or Java, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms, and certifications in AI or data science are common requirements. Strong analytical thinking, problem-solving abilities, and effective communication skills set top candidates apart. These skills are essential for designing accurate, efficient AI models and collaborating successfully across interdisciplinary teams.
How much do AI devs make?
What are the typical daily responsibilities of an AI Developer?
AI Developers typically spend their days designing, developing, and testing machine learning models, writing and optimizing code, and collaborating with data scientists and software engineers. They also analyze large data sets, tune algorithms for better performance, and document their processes for reproducibility. Regular tasks may include staying up to date with research in artificial intelligence, integrating AI solutions into existing products, and troubleshooting any issues that arise. This role often involves working in an agile team environment, where effective communication and teamwork are essential.
What engineers make $500,000?
Do AI developers make money?
What is a $900000 AI job?
What does an AI Developer do?
An AI Developer designs, builds, and implements artificial intelligence models and algorithms to solve complex problems. They work with machine learning, deep learning, and data science technologies to develop applications such as chatbots, recommendation systems, or automation tools. AI Developers often use programming languages like Python and frameworks like TensorFlow or PyTorch. Their role involves training models, optimizing performance, and deploying AI solutions in real-world environments.

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Posted 24 days ago
Job description
As a Principal AI Developer Experience Architect, you will serve as the technical authority for the AI engineering layer at SentinelOne, designing how enterprise-grade AI coding assistants and LLM platforms integrate into our engineering workflows. You will own the strategy and architecture that ensures AI-generated code is trustworthy, performant, and reliable by default for an 800+ developer organization. Your work will ensure our AI tooling investment is secure, governed, and measurably impactful across context management, prompt design, and AI-driven code review.
What Will You Do?Primary responsibilities include:
Architect the AI Engineering Layer
- Define the endtoend architecture for AI-augmented development at SentinelOne, centered on enterprise-grade AI coding assistants and LLM platforms integrated with our IDEs, CI/CD pipelines, and internal platforms.
- Design how large-context LLMs consume our codebase and documentation context so that AI assistance scales safely across hundreds of repos.
- Establish reusable patterns for agentic workflows with clear rollback and validation strategies.
Own AI Guardrails, Skills, and Standards
- Define and maintain SentinelOne AI Coding Standards and a global skills & requirements framework that all AI coding tools (our chosen AI coding assistants, PR bots, agents) must enforce, including language, framework, security, performance, and reliability patterns.
- Translate these standards into prompt templates, tool configurations, and policyascode so they are enforced automatically rather than via documentation alone.
- Partner with InfoSec, Data Governance, and Legal to ensure all AI tooling adheres to SentinelOne's AI Policies, data residency, and FedRAMP compliance requirements.
Implement AI-Driven Code Review and Safety as Code
- Lead the integration of AI-powered code review tools that use AST analysis and static/dynamic checks to enforce style, security, performance, and reliability standards before human review.
- Integrate AI review signals with our SRE observability stack (logs, metrics, traces) to correlate code changes with incidents and anomalies, closing the loop from PR to production behavior.
- Encode "safety as code" by integrating test coverage, performance scans, and progressive delivery patterns (canaries, blue/green) into AIauthored change flows.
Lead Vendor Evaluation and Integration
- Serve as the principal technical owner for AI developer tooling evaluations using structured evaluation criteria and data-driven analysis.
- Work closely with the DevEx leadership and TPM to design and run POCs, define technical success criteria, and produce executiveready recommendations.
- Ensure all vendors meet SentinelOne's security, privacy, and data governance standards.
Drive Developer Adoption and Experience
- Act as the technical face of AI DevEx to engineering: publish guidance, patterns, and internal frameworks that make AI tooling a seamless part of everyday work rather than a side experiment.
- Partner with the AI Champions Network and Learning & Development to define curricula, hands-on labs, and "dayinthelife" workflows that level up prompt engineering and AIassisted development skills across developer organizations.
- Collaborate across the SentinelOne developer community to translate adoption and productivity signals into DORA metrics and ROI narratives that are credible to Engineering Leadership, Finance, and the CFO.
Partner on Reliability, Metrics, and Governance
- Work with SRE and Reliability Engineering to ensure AIaccelerated delivery improves MTTR, CFR, and SLO performance.
- Participate in the DevEx governance model to prioritize initiatives, manage risk, and align AI DevEx roadmaps with company objectives.
- Own the engineering intelligence dashboards and leadership reports to surface the impact of AI tooling on developer productivity metrics.
Ideal candidates will have:
Experience
- 10+ years in software engineering, platform/dev tools, or infrastructure engineering, including significant experience operating at Staff/Principal level in a 300+ engineer product organization.
- 3+ years designing and shipping LLMpowered developer tools or workflows in production environments.
- Proven track record of architecting developer platforms or largescale internal tooling used by hundreds of engineers.
Technical Skills
- Deep understanding of LLM context window design, retrieval strategies, prompt engineering at scale, and how they interact with large polyglot codebases.
- Hands-on experience integrating at least one enterprise AI coding assistant into IDEs and Git hosting platforms.
- Strong background in AST-based code analysis, static/dynamic analysis, and policy-as-code for automated PR review.
- Solid understanding of CI/CD systems and progressive delivery and how to embed AI in those pipelines.
- Strong grounding in security and compliance for SaaS and AI/ML systems
Leadership & Collaboration
- Experience acting as a crossorg technical leader: aligning Staff/Principal engineers, EMs, and PMs around a shared architecture and standard.
- Comfortable presenting technical tradeoffs and ROI to senior leadership, and defending architecture choices with data.
- Proven ability to mentor and partner with the entire Product and Technology organization to deliver complex multiquarter programs.
- Excellent written and verbal communication skills; able to produce clear design docs, evaluation criteria, and developerfacing guidance that drive alignment at scale.
AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.
We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:
Equity & Rewards
- Restricted Stock Units (RSUs)
- Employee Stock Purchase Plan (ESPP)
Time Off & Wellbeing
- Flexible time off
- Paid company holidays and paid sick time
- Gender-neutral parental leave
- Grandparent leave
Insurance & Financial Security
- Medical, dental, and vision coverage
- 401(k) retirement plan with company match
- Life and disability insurance
- Health and dependent care FSA
- Voluntary benefits (hospital, accident, critical illness)
- Employee Assistance Program (EAP)
- ARAG pre-paid legal
- Nationwide pet insurance
- Cancer Care program
- Global business travel medical insurance
Work Perks & Flexibility
- Home office allowance
- Mobile phone reimbursement
Wellness & Lifestyle
- Wellness coach
- Wellness/gym reimbursement
- Fertility coverage
- Adoption & surrogacy reimbursement
About SentinelOne
Sourced by ZipRecruiter
Industry
Network security
Company size
1,001 - 5,000 Employees
Headquarters location
Mountain View, CA, US
Year founded
2013