Senior AWS Generative AI Solution Engineer

🕒 Agosto 6

🏛️ District of Columbia, Maryland – Remoto

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💵 $107.900 - $195.050 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

🦅 Patrocina Visto H1B

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👻 Score fantasma 0%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Leidos

10.000+ funcionários

Fundada em 1969

🏥 Saúde

💼 Consultoria

📦 Logística

Healthcare • Consulting • Logistics

A Leidos é uma integradora líder em ciência, tecnologia e engenharia, fornecendo soluções que transformam e viabilizam as missões de seus clientes. A empresa atua em diversos mercados, incluindo aviação, defesa, energia, governo, saúde, inteligência, ciência e espaço. A Leidos está envolvida em IA, modernização digital, operações cibernéticas e sistemas de software integrados e de missão. Com um compromisso com diversidade, equidade, inclusão e sustentabilidade, a Leidos também se engaja em esforços beneficentes e programas de enriquecimento comunitário. Além disso, contribui para o desenvolvimento de soluções para sistemas contra veículos aéreos não tripulados e infraestrutura de veículos elétricos para aplicações militares.

Descrição

• Design and implement Amazon Bedrock Agents, including a Supervisor Agent and domain-specific Sub-Agents • Develop Retrieval-Augmented Generation workflows using Amazon Bedrock Knowledge Bases and OpenSearch Serverless • Implement prompt engineering, agent routing, confidence logic, and low-confidence fallback behavior • Configure Bedrock Guardrails for PII redaction, prompt-injection detection, denied topics, content safety, and grounding evaluation • Build Lambda orchestration connecting Lex V2, Bedrock AgentCore, response generation, and human transfer decisions • Support session management, conversation context persistence, and cross-channel consistency for voice and chat • Integrate the GenAI stack with Amazon Connect, Salesforce, CloudWatch, DynamoDB, S3, SNS, IAM, and KMS • Lead AI testing, response quality tuning, grounding validation, and latency optimization across production-like scenarios • Implement and test Supervisor Agent and Sub-Agents across HUD service domains • Ensure responses are grounded, accurate, and safely filtered through Guardrails • Support confidence scoring and fallback behavior for reliable human escalation • Deliver a production-ready, maintainable, secure, privacy-compliant GenAI platform

🎯 Requisitos

• Bachelor’s degree and 8+ years of relevant experience OR Master’s degree with 6+ years of relevant experience • Additional years of relevant experience may be considered and/or accepted in lieu of degree • 8+ years of software engineering OR cloud development experience • At least 3 years of Generative AI OR LLM application development experience • Strong Python development skills and experience building production AWS solutions • Hands-on experience with Amazon Bedrock, RAG patterns, and vector-based retrieval • Experience with APIs, distributed systems, and secure cloud architecture • Ability to work effectively in a regulated government environment • Ability to obtain and maintain a Public Trust security clearance • US Citizen • AWS certifications such as AI Practitioner, Machine Learning Specialty, OR Solutions Architect Professional preferred • Experience with Amazon Bedrock Agents, AgentCore Runtime, Guardrails, and Knowledge Bases preferred • Experience with Claude models, agent frameworks, or multi-agent orchestration patterns preferred • Familiarity with FedRAMP environments and government AI governance requirements preferred • Experience with LangChain, Strands Agents, or other agent development frameworks preferred • Must be/reside in the Gaithersburg, MD/Washington, DC metro area

🏖️ Benefícios

• Competitive compensation • Health and Wellness programs • Income Protection • Paid Leave • Retirement

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