AI Engineer
Proofpoint is hiring an AI Engineer. Level rates it ; you can apply on Proofpoint.
Level's read on this job
- On Level's scale, this AI engineer role is Builds AI ●●●●: the job is building AI systems.
- Tools and skills the posting cites include OpenAI, Anthropic and Gemini.
- Level classifies it as a mid-level role.
- Level lists 135 other open roles at Proofpoint.
AI in this role
About Us:
Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.
How We Work:
At Proofpoint you’ll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:
Bold in how we dream and innovate
Responsive to feedback, challenges and opportunities
Accountable for results and best in class outcomes
Visionary in future focused problem-solving
Exceptional in execution and impact
Corporate Overview
Proofpoint is a leading cybersecurity company protecting organizations’ greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks. Leading organizations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web.
We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That’s why we’re a leader in next-generation cybersecurity.
Protection Starts with People. Proofpoint.
Job Title: AI Engineer (Agent Systems)
Location Hyderabad, A.P., India Athens, Greece Sunnyvale, CA, USA
Role Overview Proofpoint is building the next generation of AI-powered security systems to protect organizations from rapidly evolving threats. We are looking for a highly skilled AI Engineer to help design and build production-grade agentic AI systems that power intelligent security workflows at scale. This role is focused on developing and deploying autonomous agents that are reliable, composable, cost-efficient, and capable of operating in real-world, high-throughput security environments. You will work closely with security researchers, platform engineers, and product teams to turn cutting-edge agentic AI techniques into robust, automated detection and response capabilities used in production. If you enjoy architecting multi-agent systems, optimizing for reliability and cost, orchestrating tool-using LLMs, and building observable pipelines — while solving difficult security problems — we'd love to talk to you.
Key Responsibilities
Design, build, evaluate, and deploy autonomous AI agents and multi-agent systems for security detection and response use cases
Build reliable, cost-efficient agentic pipelines optimized for latency, accuracy, operational stability, and tool-use fidelity
Develop orchestration frameworks for LLM-based agents with tool use, memory, planning, and multi-step reasoning
Experiment with techniques such as ReAct, chain-of-thought prompting, structured output, retrieval-augmented generation (RAG), and agentic memory architectures Improve agent task completion quality while minimizing hallucination, failure modes, and unnecessary LLM calls
Build scalable agent infrastructure and production-grade agentic workflow pipelines Partner with security researchers to transform detection and triage logic into agent-powered automated workflows
Measure and optimize agent performance across task success rate, cost-per-run, latency, and reliability
Contribute to evaluation frameworks, ground-truth datasets, and agent benchmarking workflows Monitor production agents and continuously improve robustness, observability, and failure recovery
Required Qualifications E
xperience 2+ years of experience in AI Engineering, Applied AI, or ML Engineering
Strong experience building and deploying agentic AI systems or LLM-powered applications in production Experience designing multi-step, tool-using agents using frameworks such as LangGraph, AutoGen, CrewAI, or custom orchestration
Strong Python engineering skills Experience working with LLM APIs (OpenAI, Anthropic, Gemini) and open-source models via Hugging Face or similar
Experience implementing RAG pipelines, vector stores, and semantic retrieval systems (e.g., FAISS, Weaviate, Pinecone, pgvector)
Solid understanding of agent evaluation, prompt engineering, structured output parsing, and tool/function calling
Experience deploying agentic systems in cloud or containerized environments
Strong software engineering fundamentals and production mindset
Nice to Have
Experience with security domains such as email security, threat intelligence, phishing detection, or SOC workflows
Familiarity with fine-tuning or adapting LLMs for domain-specific agent behaviors
Experience with observability tooling for LLM systems (e.g., LangSmith, Helicone, OpenTelemetry for AI)
Knowledge of agent safety, guardrails, and human-in-the-loop design patterns
Exposure to agentic memory systems (episodic, semantic, working memory) and long-horizon task planning
Why Proofpoint
Protecting people is at the heart of our award-winning lineup of cybersecurity solutions, and the people who work here are the key to our success. We’re a customer-focused and a driven-to-win organization with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly ‘culture-add’, and we strongly encourage people from all walks of life to apply.
We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! #LifeAtProofpoint
Why Proofpoint?
At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you’ll love working with us:
Competitive compensation
Comprehensive benefits
Career success on your terms
Flexible work environment
Annual wellness and community outreach days
Always on recognition for your contributions
Global collaboration and networking opportunities
Our Culture:
Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone.
We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to accessibility@proofpoint.com.
How to Apply
Interested? Submit your application along with any supporting information- we can’t wait to hear from you!
How we rate this
AI Engineer at Proofpoint rates 99 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI engineer jobs at this level
Pay
- Typical AI engineer job
- $183k
This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- Walk me through how you've used OpenAI in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, AI agents, Fine-tuning, and OpenAI. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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