Lead Security / Policy Engineer

We are seeking a Lead Security / Policy Engineer to architect the policy engine, Cedar policy schema, and InfoSec review processes for an enterprise-grade Agent Development Platform. This production-grade, cloud-native ecosystem enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale, standardizing agent development across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime. The role centers on authorization at the agent boundary, ensuring agents securely advertise and invoke each other's capabilities while enforcing consistent security, quality, and governance standards.
Responsibilities
Lead the architecture of the policy engine and Cedar policy schema design across the platform
Define authorization models that govern agent-to-agent capability advertisement and invocation
Drive enterprise InfoSec review processes and ensure alignment with ARB requirements
Establish default-deny authorization patterns for agent interactions
Integrate identity-aware authorization using OAuth 2.0, JWT, and MS Entra
Build and maintain policy-as-code patterns to standardize governance across agent development teams
Oversee audit logging mechanisms for policy decisions and enforcement outcomes
Guide staged rollout strategies for policy enforcement, from monitoring to full enforcement
Collaborate with engineering teams to reason about trust boundaries between interacting agents
Requirements
5+ years of experience in cloud security or identity engineering
Hands-on experience with authorization or policy-as-code for AI agents in a production agentic AI project, such as Cedar/OPA policy engines enforcing agent-to-agent boundaries, capability/agent-card discovery, or default-deny agent authorization models
Expertise in identity-aware authorization, including OAuth 2.0, JWT token inspection and claims mapping, and OIDC
Skills in RBAC and ABAC design patterns
Background in either direct policy-as-code experience (Cedar, OPA) or demonstrable A2A protocol depth, including agent identity, capability/agent-card discovery, and trust boundaries between interacting agents
Experience leading enterprise security review processes, including InfoSec and ARB workflows
Knowledge of AWS AgentCore Policy and Cedar policy language (principals, actions, resources, conditions)
Proficiency in English at a B2+ level
Nice to have
Familiarity with Cedar specifically, or AWS Cedar (open source)
Practical familiarity with a policy-decision-point pattern, including evaluation of requests against declarative rules, default-deny models, and staged rollout from LOG_ONLY to ENFORCE
Early experience with AWS Verified Permissions or AgentCore Policy
Cloud-native AWS exposure
Skills in zero-trust architecture design
We offer
We gather like-minded people:
Top tech minds driving innovation in AI, cloud and digital platform modernization
Supportive team and agile, startup-like culture
Hybrid by design mode and opportunity to work remotely within Poland
Chance to work abroad for up to 60 days annually
Business-driven relocation opportunities
We provide growth opportunities:
Career development programs
Thought leadership, mentoring, soft skills and well-being programs
Certification (Anthropic, Gemini, GCP, Azure, AWS)
English classes
We cover it all:
Stable pay
Participation in the Employee Stock Purchase Plan with a 15% discount
Benefits package (health insurance, multisport, shopping vouchers)
Referral bonuses up to $2,000
Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more
Corporate, social and well-being events
Please, note:
Benefits listed above are available to employees only
We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually
We will reach out to selected candidates exclusively
EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

Work arrangement
Yes