Generative AI Solution Engineer

Job not on LinkedIn

🔥 32 minutes ago

🏛️ District of Columbia, Maryland – Remote

🏛️ District of Columbia – Remote 🦀 Maryland – Remote

💵 $107.9k - $195.1k / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

🦅 H1B Visa Sponsor

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Leidos

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Design, configure, and deploy AI agents for customer self-service on voice and chat • Develop Retrieval-Augmented Generation from approved HUD program content and maintain knowledge-base accuracy • Implement prompt engineering, topic routing, guardrails, and safe escalation to live representatives • Build contact-center flows, bots, and serverless functions connecting AI agents to customer channels and backend systems • Carry conversation context across voice, chat, and live-agent handoffs • Deliver AI assistance for customer service representatives, including suggested answers and contact summaries • Integrate AI capabilities with contact-center and CRM platforms using secure logging, encryption, and least-privilege access • Lead AI testing, response-quality tuning, grounding validation, latency optimization, multilingual testing, and adversarial testing against OWASP Top 10 for LLM Applications • Define and run ongoing AI quality evaluations covering accuracy, grounding, safety, and customer-need resolution • Produce documentation required for federal AI governance and security authorization • Work with the ISSO on NIST SP 800-53 controls and privacy reviews • Support HUD’s AI use-case inventory under OMB M-25-21 • Manage AI agent, prompt, guardrail, and flow configuration as code through government change control

🎯 Requirements

• Bachelor’s degree and 8+ years of software engineering or cloud development experience • At least 3 years of Generative AI or LLM application development experience • Delivered at least one customer-facing generative AI solution from pilot to production, with measurable results • Strong software development skills, such as Python, and experience building production cloud solutions, preferably on AWS • Hands-on experience building AI agents, RAG patterns, and vector-based retrieval on a cloud contact-center, CRM, or generative AI platform • Experience with APIs, distributed systems, and secure cloud architecture • Ability to work effectively in a regulated government environment, including NIST SP 800-53 control documentation • U.S. Citizen • Ability to obtain and maintain a Public Trust security clearance • AWS or equivalent contact-center/CRM platform AI certifications preferred • Experience with contact-center AI features preferred • Experience evaluating foundation models on accuracy, latency, cost, and FedRAMP authorization status preferred • Familiarity with FedRAMP environments and government AI governance requirements preferred • Experience with Amazon Bedrock Agents, AgentCore, LangChain, Strands Agents, other agent development frameworks, and MCP preferred • Experience with Salesforce Service Cloud and native AI features preferred • Experience migrating contact centers between platforms and with multilingual voice and chat bots preferred • Ability to explain AI risks, tradeoffs, and results clearly to stakeholders preferred

🏖️ Benefits

• 100% telework/remote opportunity • Limited flexibility in compensation based on qualifications and assessment

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