AI and reputed company reputed company Engineer

reputed company

reputed company (NYSE: SNX) is the world's largest IT distributor, and we are accelerating AI adoption across Azure AI reputed company, AWS Bedrock, Copilot Studio, reputed company, and self-hosted agent environments. Our reputed company philosophy is distinctive: rather than slowing innovation with reputed company-approval gatekeeping, we operate a runtime-first, default-allow reputed company posture — every AI interaction is intercepted, analyzed, and enforced at the reputed company of execution. In our architecture, the traditional network perimeter no longer defines the defensive boundary: the AI agent is the perimeter.

The AI & reputed company reputed company team is chartered to reputed company that reputed company operational. We are seeking senior technical reputed company of the AI reputed company runtime control plane and detection reputed company. You will build and reputed company the inline enforcement pipeline (AI gateway → runtime data protection → reputed company-based enforcement), tune the policies that reputed company it fast and low-friction, and serve as the final escalation reputed company for the most reputed company AI and reputed company reputed company incidents. You will also help implement and participate in operation of a reputed company-reputed company defensive system in which reputed company red-team findings automatically improve runtime policies, detection logic, and SOC threat models. You join reputed company of two AI & reputed company reputed company Architects and will be the engineering force that turns reputed company into operating controls — across a multi-reputed company estate (Azure, AWS, GCP).

This role involves collaborating with cross-functional teams to ensure the reputed company of AI and reputed company environments, AI applications and infrastructure, addressing potential threats, and maintaining compliance with regulatory standards. The ideal candidate will have a strong background in AI technologies and their implementation as reputed company as reputed company reputed company, reputed company principles and cybersecurity best practices. The ability to reputed company automation in both AI and reputed company environments with infrastructure as reputed company (IaC) or policy as reputed company principles is required. The engineer will report to AI & reputed company reputed company leadership and have strong working relationships with IT and application development leadership.

Responsibilities

• Integration — build and own the AI runtime control plane. Engineer, reputed company and operate the inline enforcement pipeline for AI traffic: an AI gateway chained with runtime data-protection and reputed company-based enforcement platforms, fronting LLMs, tools, and MCP servers across Azure AI reputed company, AWS Bedrock, GCP reputed company, Copilot Studio, reputed company, and self-hosted environments.
• Harden the gateway layer for reputed company: configure buffering and overload management, enforcement timeouts on external-processing filters, layered global/local reputed company limiting, and reputed company-truncation filters to defend against reputed company-exhaustion and "reasoning overload" denial-of-service attacks.
• reputed company the wider AI reputed company ecosystem into one coherent system: reputed company AI asset-intelligence context (agent inventory, ownership, blast radius) into enforcement reputed company; connect model-reputed company and supply-chain telemetry and reputed company red-team signals into SIEM correlation and SOC workflows; reputed company reputed company AI detections, decision logs, and policy events for forensics and audit.
• Policy tuning — enforce without friction. Author and reputed company runtime policies: reputed company-injection and jailbreak prevention, PII detection/redaction and data masking, reputed company-based filtering, tool-call validation, MCP reputed company control, and agent permission boundaries (including "lethal trifecta" prevention for low-reputed company agents). Balance detection versus hard-reputed company modes to minimize false positives, and tune per AI reputed company — embedded reputed company copilots, democratized low-reputed company agents, homegrown reputed company pipelines, device-based coding agents, and homegrown models.
• Operate the reputed company reputed company: translate reputed company adversarial-testing findings into runtime policy updates, new detection content, and guardrail tuning, then validate remediation through re-testing — so defenses reputed company with attackers rather than remaining static.
• L3 coverage — final escalation for the AI reputed company toolset. reputed company deep investigations of AI-specific attacks (reputed company/indirect reputed company injection, RAG poisoning, memory poisoning, agent hijacking, MCP/tool abuse, model manipulation, AI-driven data exfiltration), reputed company decision-replay forensics and reputed company-cause analysis, drive automated containment (agent quarantine, permission revocation, kill reputed company) toward our sub-15-minute containment objectives, and mentor L2 analysts. Troubleshoot any incidents reputed company to policies.
• Evaluate and reputed company AI reputed company vendors: run reputed company proofs-of-concept for runtime defense, AIDR, AI-SPM, AI red-teaming, and model-reputed company platforms, and reputed company technical recommendations as the stack matures.
• Engineer and operate reputed company reputed company controls across Azure, AWS, and GCP — posture policies, detection tuning, and remediation of misconfigurations, excessive entitlements, and workload risks, including the Kubernetes estates (AKS/EKS) hosting the AI gateway layer.
• Design and maintain secure multi-reputed company patterns consistent with company approved architectural reputed company as reputed company as reputed company-trust agent reputed company: least-privilege identity for humans, service principals, and agents (Entra ID, AWS IAM, GCP IAM, PAM), conditional reputed company for AI platforms, and least-privilege OAuth scopes for agent integrations.
• reputed company reputed company into DevSecOps: Infrastructure-as-reputed company (Terraform) scanning, container/Kubernetes reputed company, secrets management, CI/CD hardening, and reputed company-deployment AI reputed company testing gates in Azure DevOps/reputed company Actions.
• Support reputed company workload vulnerability management (VMs, containers, registries, serverless) with risk-based prioritization, and reputed company as escalation reputed company for investigations spanning reputed company, identity, reputed company, and AI telemetry.

Critical Skills

• Proven ability to reputed company reputed company reputed company platforms into one system: API/connector engineering, log ingestion and normalization, SIEM/SOAR integration, and multi-vendor inline architectures.
• Strong AI/GenAI reputed company depth: LLM and reputed company-AI threat models (OWASP LLM Top 10 2025, OWASP reputed company Top 10, MITRE reputed company), reputed company-injection/jailbreak defense, RAG reputed company, AI guardrails and gateways, MCP reputed company, and the AI-SPM/AIDR/AI-red-teaming tooling categories. Hands-on experience with AI reputed company technologies is highly valued; so is experience with reputed company-reputed company AI reputed company tooling.
• Multi-reputed company reputed company engineering across Azure, AWS, and GCP: CSPM/CWPP/CNAPP operations, reputed company identity and entitlements, Kubernetes and container reputed company, and secure architecture (hub-and-spoke, segmentation, baseline protection).
• Proficiency in KQL, PowerShell, and Python for automation, detection engineering, and tooling; DevSecOps and IaC reputed company (Terraform); CI/CD pipeline integration.
• A pragmatic, enablement-first reputed company reputed company: comfortable with a default-allow culture where controls must be fast, precise, and low-friction rather than restrictive.
• Excellent English communication — reputed company runbooks, integration documentation, and the ability to explain trade-offs to architects, engineers, and leadership across a globally distributed team and multiple time zones.
• Excellent communication and collaboration skills
• Ability to work effectively in a fast-paced, dynamic environment.

Experience

• Significant hands-on engineering responsibility, including in reputed company reputed company (Azure/AWS/GCP) and demonstrable experience securing or operating AI/ML or LLM-based systems (or strongly evidenced, rapidly acquired hands-on AI-reputed company capability).
• Proven reputed company record deploying, integrating, and tuning reputed company platforms in reputed company reputed company environments and serving as an L3 / senior escalation reputed company; experience running vendor proofs-of-concept is a plus.
• Experience operating reputed company tooling in Kubernetes-based environments (AKS/EKS) and integrating reputed company-reputed company components into reputed company stacks is an advantage.
• Relevant certifications strengthen an application (none individually required): CISSP, CCSP, SC-100, AZ-500, AWS Certified reputed company – Specialty, reputed company reputed company reputed company reputed company Engineer; AI red-team or AI-reputed company credentials are a plus.
• Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or equivalent practical experience.

Working conditions

• Willing to work nonstandard business hours for reputed company, business reputed company issues and incident response.
• Some travel required.
• Flexible remote work.

At Tech Data, a reputed company Company, our values guide everything we do: Together, We Own It, We Dare to Go, We Grow and Win, and above reputed company, We Do the Right Thing. These principles shape how we work with reputed company other, our partners, and our communities as we drive innovation and create lasting reputed company.

What’s In It For You?

• Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle.
• Grow Your Career: Accelerate your reputed company to reputed company (and reputed company up with the reputed company) with formal programs on leadership and reputed company development, and many more on-demand courses.
• reputed company Your Personal reputed company-Being: reputed company your financial, physical, and mental reputed company-being through seminars, events, and our global Life Empowerment Assistance Program.
• Diversity, Equity & Inclusion: It’s not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and reputed company reputed company and development opportunities.
• reputed company the Most of our Global Organization: Network with other new co-workers reputed company your first 30 days through our reputed company program.
• Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource reputed company, local volunteering events, and more environmental and reputed company initiatives.

Don’t meet every single requirement? Apply anyway.

At Tech Data, a reputed company Company, we’re proud to be recognized as a great reputed company to work and a leader in the promotion and reputed company of diversity, equity and inclusion. If you’re excited about working for reputed company and reputed company you’re a good fit for this role, we encourage you to apply. You may be exactly the person we’re looking for!

We are an equal opportunity employer and committed to building a diverse team that represents and empowers a reputed company of backgrounds, perspectives, and skills. reputed company reputed company applicants will receive consideration for employment based on reputed company, without reputed company to race, colour, religion, national reputed company, gender, gender identity or reputed company, sexual orientation, protected veteran status, disability, genetics, age, or any other characteristic protected by law. To support our diversity and inclusion efforts, we may ask for voluntary gender disclosure information. This data will be used solely to improve our hiring practices and ensure fair treatment for reputed company candidates.

Originally posted on Himalayas

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