AI Technical Lead

Location: 100% remote, seeking candidates located in LATAM.

Contract Length: 1 year, with potential for extension.

Contract Rate: $25-30 per hour in USD. Final rate will be determined based on relevant experience and overall fit for the position.

NTT DATA is seeking a AI Technical Lead, Amazon Bedrock to design and implement AI-agent capabilities for Customer Service and Contact Center use cases as part of a broader Amazon Connect transformation program. This hands-on technical leadership role will span Generative AI architecture, agentic workflows, RAG, prompt and context engineering, model evaluation, guardrails, and enterprise integrations. The ideal candidate combines strong software engineering with practical LLM expertise, can determine when deterministic software, retrieval, workflows, or LLM reasoning are most appropriate, and can take solutions from prototype through safe, production-ready deployment.

Responsibilities:

• Design and implement Generative AI and AI-agent solutions for Customer Service and Contact Center scenarios.
• Design prompts, system instructions, context strategies, tool-calling patterns, and agent workflows.
• Design and implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources.
• Integrate AI agents with APIs, databases, business applications, knowledge repositories, and external tools.
• Evaluate and select appropriate foundation models for different use cases, balancing quality, latency, cost, and operational constraints.
• Design mechanisms to improve grounding, reduce hallucinations, and manage unsupported or out-of-scope requests.
• Implement guardrails, content controls, PII protection, and safety mechanisms appropriate for enterprise use.
• Design conversational context, session state, memory, fallback, and human-escalation patterns.
• Define observability, tracing, quality metrics, and operational monitoring for AI-agent behavior.
• Optimize prompts, retrieval strategies, model configuration, token consumption, latency, and cost.
• Work with AI Output Testing Engineers to create evaluation datasets, regression suites, and release quality thresholds.
• Support AI governance and Responsible AI requirements by translating policy expectations into technical controls.
• Participate in architecture reviews, code reviews, technical documentation, and production support.

Required Experience:

• 10+ year of relevant technical experience including delivering Generative AI / LLM-based applications in enterprise environments.