Key skills

Large Language Models (LLMs)Prompt EngineeringRetrieval-Augmented Generation (RAG)LLM EvaluationAgent Frameworks and OrchestrationMulti-Agent SystemsTool-Using AgentsCloud-Native ArchitectureApplication Programming Interfaces (APIs)Distributed SystemsMLOps and LLMOpsAI Security, Governance, and AuditabilityAIArtificial IntelligenceLLMRAGAgenticLeadership

About this role

Acumenz Consulting is seeking a PAM Engineer with AI expertise to develop and lead production-grade artificial intelligence and large language model solutions. The role focuses on agent orchestration, LLM interaction layers, end-to-end AI architecture, cloud and hybrid deployments, and secure, governed enterprise implementations.

Responsibilities:

Lead hands on development of AI enabled and LLM based applications, including agentic and automation driven systems
Design and implement agent orchestration architectures, including task decomposition, multi agent coordination, tool/function invocation, state and memory management, and policy aware execution flows
Engineer robust LLM interaction layers, including prompt design, grounding strategies (e.g., RAG), tool integration, feedback loops, and evaluation mechanisms
Own end to end AI system architecture, spanning APIs, services, data pipelines, model serving, and observability
Ensure AI solutions operate effectively across cloud native and hybrid environments, with attention to scalability, latency, and reliability
Embed security, compliance, and governance by design, including access controls, logging, traceability, explainability, and human in the loop safeguards
Provide technical leadership through architecture ownership, hands on coding, design reviews, and mentorship of AI engineers