AI Technical Lead, Amazon Bedrock

NTT DATA, Europe & LATAM, Branch in USA, Inc.; United States; Remote; USD 34,000 - 41,000; Full time

Job summary

NTT DATA seeks an AI Technical Lead, Amazon Bedrock, to design and implement AI-agent capabilities for Customer Service and Contact Center use cases as part of an enterprise transformation. You will oversee Generative AI architecture, prompt strategies, RAG, and tool integration, guiding solutions from prototype to production with safety and governance in mind.

The role requires 10+ years of tech experience, 2+ years with Bedrock, and strong software engineering skills in Python/TypeScript.

Qualifications

• 10+ years of relevant technical AI/LLM experience in enterprise environments.
• 2+ years of experience with Amazon Bedrock.
• Strong software engineering with Python/TypeScript.
• Hands-on experience with prompt engineering, context engineering, RAG, embeddings, and vector search.
• Experience designing AI agents and multi-step workflows.
• Experience integrating LLM solutions with REST APIs and enterprise apps.
• Understanding of grounding, hallucination mitigation, content filtering, and security.

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 using enterprise knowledge sources.
• Integrate AI agents with APIs, databases, business applications, knowledge repositories, and external tools.
• Evaluate and select appropriate foundation models balancing quality, latency, cost, and constraints.
• Implement guardrails, safety mechanisms, and PII protection for enterprise use.
• Define context, memory, state management, and escalation patterns.
• Define observability, tracing, and quality metrics for AI-agent behavior.
• Collaborate on architecture reviews, code reviews, and production support.

Skills

10+ years experience

Amazon Bedrock

Python

TypeScript

Prompt engineering

RAG

Context engineering

LLM integration

REST APIs

Git/CI/CD

Communication

Education

Bachelor’s degree in CS/AI/related

Tools

Python

TypeScript

LangChain

LangGraph

LlamaIndex

Semantic Kernel

Job description

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

Contract Length: 1 year, with potential for extension.

Contract Rate: $25-30per 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.
• 2+ years of experience with Amazon Bedrock
• Strong software engineering experience, preferably using Python and/or TypeScript.
• Practical experience with prompt engineering, context engineering, RAG, embeddings, vector search, semantic search, and tool/function calling.
• Experience designing or implementing AI agents and multi-step agentic workflows.
• Experience integrating LLM solutions with REST APIs, enterprise applications, databases, and knowledge sources.
• Strong understanding of hallucination mitigation, grounding, prompt injection, jailbreak prevention, content filtering, and context-window management.
• Experience evaluating model and agent outputs using automated and human evaluation approaches.
• Experience with Git, CI/CD, automated testing, and production software delivery practices.
• Ability to communicate complex AI concepts clearly to architects, developers, product teams, and business stakeholders.
• Professional proficiency in English.

Nice-to-Have:

• Previous experience integrating Generative AI capabilities with Amazon Connect or other enterprise Contact Center platforms.
• Experience with Amazon Q in Connect, agent-assist, knowledge-assistance, or customer-support AI use cases.
• Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent agent orchestration frameworks.

Education & Certifications:

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related technical field.

Required Equipment: This role requires the use of a personal laptop. Candidates must be comfortable with company security software and device management tools being installed on their laptop as part of the onboarding process and for the duration of the engagement.

About NTT DATA

NTT DATA is a Top 5 global IT services provider with more than 190,000 professionals across 50+ countries. We combine industry expertise with capabilities in consulting, technology, AI, cloud, applications, infrastructure, and connectivity to help organizations innovate, optimize, and transform. Through responsible innovation, we deliver meaningful business outcomes, accelerate client success, and create a positive impact on society.

Equal Opportunity Employer

NTT DATAis committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.NTT DATA is an Equal Opportunity Employer Male/Female/Disabled/Veteran and a VEVRAA Federal Contractor.