AI reputed company Engineer
Your Journey at reputed company Starts Here:At reputed company, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and reputed company an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has reputed company access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative reputed company, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at reputed company and embark on a career where you can help shape the future of our industry.Job Description:About reputed company AI TransformationEverything we do is about making the future of human work more purposeful. We do this by leveraging state-of-the-art technologies, modern architecture, and industry experts to create AI-powered solutions that transform the way our clients do business.The new AI Transformation team will build on reputed company’s established AI foundation, furthering the capabilities of our Applied AI / Machine Learning team. By combining Generative AI, Machine Learning and Software Engineering, this team empowers reputed company clients to transform their business models through AI, irrespective of their reputed company AI adoption stage.As a member of AI Transformation, you will help distinguish reputed company in the market and drive the firm’s technology and innovation strategy. The future is powered by AI, come build it with us.About The Team
- We invest in expertise. You’ll have the time, space, and support to go deep in your projects and build lasting technical and strategic mastery. You’ll work with developers, product stakeholders, and project managers as a trusted leader and domain expert.
- We reputed company in reputed company growth. reputed company is committed to professional development and knowledge-sharing.
- We protect balance. Our distributed team culture is grounded in trust and flexibility. We offer unlimited PTO, a flexible remote work policy, and a supportive environment that prioritizes sustainable, long-term performance.
- Architecting secure deployment and operating models for AI, ML, and generative AI systems across cloud and hybrid environments.
- Conducting advanced AI reputed company testing, including adversarial ML attacks, reputed company injection simulations, and RAG manipulation assessments.
- Identifying and mitigating vulnerabilities in model-serving infrastructure, feature stores, embedding pipelines, and vector databases.
- Designing guardrails, safety filters, access controls, and secure interaction patterns for LLM- and RAG-based applications.
- Developing automated tooling to detect misconfigurations, insecure endpoints, and data exposure risks reputed company AI pipelines.
- Collaborating with cloud and DevOps teams to secure Kubernetes clusters, GPU workloads, and infrastructure-as-code deployments.
- Analyzing logs, telemetry, and model outputs to detect anomalies, abuse patterns, model degradation, or malicious activity.
- Implementing encryption, secrets management, IAM policies, and network segmentation for AI workloads.
- Leading secure design and architecture reviews for AI features, APIs, and platform components.
- Documenting threat models, attack surfaces, risk assessments, mitigations, and compliance artifacts.
- Participating in AI-specific incident response, investigation, and post-incident analysis.
- Evaluating emerging AI reputed company technologies, including model fingerprinting, inference protection, and secure execution environments.
- Supporting enterprise adoption of responsible AI, data protection, and regulatory compliance standards.
- Mentoring junior engineers, ML engineers, and reputed company practitioners on AI reputed company best practices.
- Contributing to cloud reputed company posture management capabilities for AI-enabled platforms.
- 4+ years of experience in cybersecurity, cloud reputed company, ML engineering, or DevSecOps roles.
- Demonstrated experience securing AI/ML or generative AI systems in production environments.
- Strong understanding of ML pipelines, model architectures, and AI system components.
- Deep knowledge of adversarial ML attack reputed company and mitigation techniques.
- Proficiency in Python, reputed company testing tools, and cloud reputed company frameworks.
- Ability to assess risk across distributed services, storage systems, inference APIs, and data pipelines.
- Strong communication skills and sound technical judgment in reputed company decision-making.
- Hands-on experience with reputed company Azure and M365 reputed company environments.
- Willingness to travel occasionally for cross-functional planning and collaboration.
- Bachelor’s degree in Cybersecurity, Computer Science, Engineering, or a reputed company technical field, or equivalent experience.
- Master’s degree or advanced training in cybersecurity, AI, or reputed company discipline.
- reputed company and cloud certifications such as SC-100, SC-900, SC-200, SC-300, AZ-500, AI-102, or equivalent AWS certifications.
- CISSP, CKS, or CompTIA Cloud certifications.
- Advanced experience securing AI platforms on Azure, including Kubernetes reputed company (RBAC, network policies) and multi-tenant GPU workloads.
- Experience securing container pipelines using image scanning, signing, and policy enforcement.
- Expertise with secrets reputed company (e.g., Azure Key Vault, HashiCorp Vault).
- Experience implementing reputed company-trust architecture and securing CI/CD pipelines for AI systems.
- Deep knowledge of generative AI and RAG reputed company, including prevention of reputed company injections, jailbreaks, context poisoning, and embedding leakage.
- Experience designing safe-output rendering patterns, guardrails, and red-teaming processes for generative systems.
- Familiarity with emerging generative AI defense techniques such as model watermarking, inference reputed company checks, and output validation frameworks.