AI Security Architect

SoftServe; Polska; Hybrid; PLN 544,000 - 700,000; Full time

Benefits offered by this job

Flexible Work Model

Health coverage

Paid time off

Wellness support

Learning opportunities

Job summary

SoftServe is seeking an experienced AI Security Architect to build foundations of a secure AI program across multi-cloud environments. You will shape the AI security architecture, implement guardrails, threat models, and logging standards for AI/LLM workloads in AWS and GCP.

You will translate strategy into actionable engineering requirements and collaborate with security, cloud, and AI teams to embed secure-by-design principles.

Qualifications

• 7+ years in security architecture or cloud security roles.
• Experience securing AI/ML and LLM-based systems.

Responsibilities

• Build the foundations of the AI security program with governance.
• Define AI security for testing, including code scanning and vulnerability discovery.
• Define AI security architecture and adapt suitable frameworks.
• Design threat models for AI workloads and security controls.
• Create reference architectures for secure AI platforms on AWS and GCP.
• Define secure operating principles and isolation requirements for frontier models.
• Design guardrails, monitoring, and logging requirements for AI systems.
• Translate architecture into an implementation backlog for engineering teams.

Skills

AI security architecture

Cloud security

Threat modeling

Security telemetry

Stakeholder management

English communication

Security assessments

Secure AI frameworks

Zero-trust concepts

Incident containment

Tools

AWS

GCP

IAM

Containers

SIEM

Job description

In this role you will build the foundations of a secure AI program from the ground up, working at the intersection of security architecture, cloud engineering, and artificial intelligence. You will treat AI security as an engineering discipline — grounded in clear architecture, recognized frameworks, and well-defined controls — and translate it into concrete, actionable work that engineering teams can implement, test, and continuously improve. You will primarily work with AI and LLM-based workloads, including the newest models deployed in isolated cloud environments, defining how they are designed, deployed, monitored, and governed, with a strong focus on guardrails, threat models, isolation requirements, and logging and monitoring standards.

Responsibilities

• Build the foundations of the AI-based security program, including the roadmap, governance, and approval processes
• Define how AI can be safely used for security testing, such as AI-assisted code scanning and vulnerability discovery, including validation of findings and their integration into the vulnerability management process
• Define the AI security architecture and select and adapt the most suitable AI security frameworks
• Design threat models for AI workloads and define security controls for AI environments
• Design reference architectures for secure AI platforms deployed across AWS and GCP
• Define secure operating principles, deployment standards, and isolation requirements for frontier models
• Design guardrails, along with monitoring and logging requirements for AI systems
• Translate architecture and standards into an implementation backlog for engineering teams and support its delivery

Requirements

• 7+ years in security architecture or cloud security, designing and securing complex, multi-cloud environments
• Proven hands-on experience securing AI/ML and LLM-based systems, including data, model, and infrastructure layers, and implementing effective containment measures for security incidents
• Strong knowledge of AI-specific threats such as prompt injection, data leakage, model abuse, and agent/tool misuse
• Understanding of AI infrastructure components, including model hosting, vector databases, orchestration frameworks, and AI gateways
• Experience conducting security assessments, adversarial testing, threat modeling, or red-team style evaluations of AI systems
• Familiarity with AI security frameworks and standards, such as NIST AI RMF, OWASP Top 10 for LLM Applications, MITRE ATLAS, and ISO/IEC 42001
• Experience with threat modeling and designing security controls, guardrails, and isolation for complex workloads
• Solid cloud security background in GCP and/or AWS, including IAM, network isolation, containers, and logging
• Experience defining security telemetry and detection use cases and integrating logs into SIEM or real-time analytics platforms
• Ability to turn strategy into actionable engineering requirements
• Strong communication and stakeholder management skills, fluent English

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.

About us

We are a digital engineering and technology consulting company where expertise grows alongsidepeople. For more than 30years, we have been elevating technology: helping organizations navigate complex businesschallenges by combining deepengineering knowledge with thoughtful, research-backed innovation. Our teams work across keyareas: digitalengineering, data and analytics, Сloud, and AI/ML. In each, we deliver practical, scalablesolutions rooted in realbusiness needs and measurable human impact.

You bring your perspective and ambition. We create an environment where your work meetsclarity, confidence, andpurpose.

We offer

Flexible Work Model

Work from home, from the office, or in a hybrid format that supports focus andcollaboration.

Competitive, market-based pay, benchmarked by role andlocation — plus health coverage, paid time off, wellness support, and learningopportunities.

Approachable leaders who communicate openly, keep teams close to the strategy, andsupport long-term planning.

Advanced tech communities

Stay close to AI/ML, Cloud, Quantum Computing, IoT, andRobotics communities, with projects built on modern frameworks.

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