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Strong PwC brand, metro locations, broad skillset and national hiring drive high competition.
Specialized LLMOps, cloud deployment, and regulated-environment expertise limit cross-industry transferability.
Explicit 6–9 years plus mandatory LLMOps, CI/CD, Kubernetes, Terraform and AWS experience raises strictness.
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Own deployment architecture for AI solutions on AWS, including CI/CD, Infrastructure as Code, and release management.
Lead delivery teams to execute service management strategies, optimize processes, and improve client operations with automation frameworks.
Manage integration of AI solutions in legacy and regulated environments, ensuring security, governance, observability, and cost controls for production workloads.
6–9 years of relevant work experience in DevOps, platform engineering, and AI/ML deployments.
Strong expertise in AWS cloud services and deployments relevant to production AI workloads.
Deep experience with CI/CD tools, Docker, Kubernetes, Terraform, and Infrastructure as Code.
Hands-on experience deploying LLM and agentic AI applications to production, including observability, evaluation, security, and responsible AI standards.
Senior professional capable of managing technical aspects of enterprise AI deployments embedded within customer teams.
Experienced in integrating AI solutions into regulated and legacy environments with strong focus on security and governance.
Proven mentor with ownership mindset and strong client communication skills, adept at setting standards and driving continuous process improvements.