Senior Technology Consultant - GenAI / Agent Platform Engineer

Role: Senior Technology Consultant - GenAI / Agent Platform Engineer

Location: Westlake, Texas/Durham, North Carolina(Hybrid)

Type: Contract

Role Summary:

• We are seeking an experienced GenAI / Agent Platform Engineer to design, build, and operate enterprise-grade platforms for Generative AI and AI Agent solutions. The ideal candidate should have strong hands-on expertise in agent orchestration, LLM/model integration, tool invocation, prompt engineering and safety, policy controls, and AI observability/telemetry.
• The role will collaborate with application engineering, AI/ML, platform, security, and governance teams to build scalable and secure capabilities that enable development teams to create and operate production-grade AI agents and GenAI applications

Day to Day Job Duties:

• Design and develop enterprise platforms for GenAI applications and AI agents.
• Build agent orchestration workflows supporting planning, reasoning, tool invocation, and multi-step execution.
• Integrate enterprise applications with LLMs and foundation models through secure APIs.
• Develop reusable agent capabilities, tools, APIs, connectors, and platform services.
• Implement tool/function calling to enable agents to securely interact with enterprise systems and data sources.
• Build and manage integrations using Model Context Protocol (MCP) where applicable.
• Implement prompt management, versioning, templates, and reusable prompt libraries.
• Develop prompt safety and security controls, including input/output filtering and prompt-injection defenses.
• Implement policy controls governing model access, tool permissions, data access, and agent behavior.
• Develop guardrails to support responsible and secure use of Generative AI.
• Implement telemetry, tracing, logging, metrics, and observability across agent and LLM workflows.
• Monitor model/agent performance, latency, token consumption, failures, and operational health.
• Build automated evaluation and testing capabilities for prompts, models, tools, and agent workflows.
• Collaborate with security and governance teams to implement auditability and appropriate AI controls.
• Troubleshoot production AI/agent issues and continuously improve platform reliability and performance.

Basic Qualifications:

• 7+ years of experience in Software Engineering, Platform Engineering, AI/ML Engineering, or cloud-native application development.
• 3+ years of hands-on experience developing Generative AI, LLM-integrated applications, or AI Agent solutions.
• 2+ years of experience with agent orchestration, model integration, tool/function calling, and production LLM APIs.
• 2+ years of experience implementing AI observability, security/guardrails, policy controls, or production AI platform capabilities.

Nice to Have:

• Experience developing MCP servers or MCP-enabled integrations.
• Experience building production solutions with LangGraph, Strands, LangChain, AutoGen, CrewAI, or Bedrock Agents.
• Experience with AWS Bedrock, Azure AI Foundry, OpenAI, or Anthropic in production environments.
• Experience building enterprise RAG platforms, vector stores, and knowledge retrieval services.
• Knowledge of agent memory, context management, and conversation state management.
• Experience with LLM evaluation and observability platforms such as Langfuse, LangSmith, Braintrust, or Weights & Biases.
• Experience implementing human-in-the-loop approval and escalation workflows.
• Knowledge of Responsible AI, model governance, data privacy, and audit requirements.
• Experience implementing role-based access controls and fine-grained permissions for agents and tools.
• Experience with Kubernetes and cloud-native AI platforms.
• Strong understanding of API security, OAuth/OIDC, IAM, secrets management, and secure engineering.
• Experience building reusable enterprise AI platforms or internal developer platforms.
• Strong software engineering, architecture, troubleshooting, communication, and problem-solving skills