{"id":1502418,"url":"https://alion.io/job/nttdatausa-com-ai-technical-lead-amazon-bedrock","title":"AI Technical Lead, Amazon Bedrock","company":{"id":678725,"name":"nttdatausa.com","domain":"nttdatausa.com","url":"https://alion.io/company/nttdatausa","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["AR","BR","MX","AG","AW","BS","BB","BZ","BM","BO","VG","BQ","KY","CL","CR","CW","DM","DO","EC","SV","FK","GF","GD","GP","GT","GY","HT","HN","JM","MQ","MS","NI","PA","PY","PE","PR","KN","LC","PM","SX"],"hiring_countries_total":45,"salary":{"min":25,"max":30,"currency":"USD","period":"hour","gross":null,"usd_annual":60000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Hallucination","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Machine Learning","optional":true},{"name":"Semantic Kernel","optional":true}],"status":"live","first_seen_at":"2026-09-29T22:50:28Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-06T00:36:57Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Location: 100% remote, seeking candidates located in LATAM.\nContract Length: 1 year, with potential for extension.\nContract Rate: $25-30 per hour in USD. Final rate will be determined based on relevant experience and overall fit for the position.\nNTT 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.\nResponsibilities:\nDesign and implement Generative AI and AI-agent solutions for Customer Service and Contact Center scenarios.\nDesign prompts, system instructions, context strategies, tool-calling patterns, and agent workflows.\nDesign and implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources.\nIntegrate AI agents with APIs, databases, business applications, knowledge repositories, and external tools.\nEvaluate and select appropriate foundation models for different use cases, balancing quality, latency, cost, and operational constraints.\nDesign mechanisms to improve grounding, reduce hallucinations, and manage unsupported or out-of-scope requests.\nImplement guardrails, content controls, PII protection, and safety mechanisms appropriate for enterprise use.\nDesign conversational context, session state, memory, fallback, and human-escalation patterns.\nDefine observability, tracing, quality metrics, and operational monitoring for AI-agent behavior.\nOptimize prompts, retrieval strategies, model configuration, token consumption, latency, and cost.\nWork with AI Output Testing Engineers to create evaluation datasets, regression suites, and release quality thresholds.\nSupport AI governance and Responsible AI requirements by translating policy expectations into technical controls.\nParticipate in architecture reviews, code reviews, technical documentation, and production support.\nRequired Experience:\n10+ year of relevant technical experience including delivering Generative AI / LLM-based applications in enterprise environments.\n2+ years of experience with Amazon Bedrock\nStrong software engineering experience, preferably using Python and/or TypeScript.\nPractical experience with prompt engineering, context engineering, RAG, embeddings, vector search, semantic search, and tool/function calling.\nExperience designing or implementing AI agents and multi-step agentic workflows.\nExperience integrating LLM solutions with REST APIs, enterprise applications, databases, and knowledge sources.\nStrong understanding of hallucination mitigation, grounding, prompt injection, jailbreak prevention, content filtering, and context-window management.\nExperience evaluating model and agent outputs using automated and human evaluation approaches.\nExperience with Git, CI/CD, automated testing, and production software delivery practices.\nAbility to communicate complex AI concepts clearly to architects, developers, product teams, and business stakeholders.\nProfessional proficiency in English.\nNice-to-Have:\nPrevious experience integrating Generative AI capabilities with Amazon Connect or other enterprise Contact Center platforms.\nExperience with Amazon Q in Connect, agent-assist, knowledge-assistance, or customer-support AI use cases.\nExperience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent agent orchestration frameworks.\nEducation & Certifications:\nBachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related technical field.\nRequired 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.\nAbout NTT DATA\nNTT 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.\nEqual Opportunity Employer\nNTT DATA is 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. 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