
10,000+ employees
Founded 1969
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
Leidos is a leading systems integrator in science, technology, and engineering, providing solutions that transform and enable the missions of its customers. The company operates across various markets, including aviation, defense, energy, government, healthcare, intelligence, science, and space. Leidos is involved in AI, digital modernization, cyber operations, and integrated and mission software systems. With a commitment to diversity, equity, inclusion, and sustainability, Leidos also engages in charitable efforts and community enrichment programs. Additionally, it contributes to developing solutions for counter-unmanned aerial systems and electric vehicle infrastructure for military applications.
🔥 0 minutes ago
🏛️ District of Columbia, Maryland – Remote
💵 $107.9k - $195.1k / year
⏰ Full Time
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1969
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
Leidos is a leading systems integrator in science, technology, and engineering, providing solutions that transform and enable the missions of its customers. The company operates across various markets, including aviation, defense, energy, government, healthcare, intelligence, science, and space. Leidos is involved in AI, digital modernization, cyber operations, and integrated and mission software systems. With a commitment to diversity, equity, inclusion, and sustainability, Leidos also engages in charitable efforts and community enrichment programs. Additionally, it contributes to developing solutions for counter-unmanned aerial systems and electric vehicle infrastructure for military applications.
• 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
• 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
• Competitive compensation • Health and Wellness programs • Income Protection • Paid Leave • Retirement
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