Generative AI Solution Engineer

Leidos

. Design, configure, and deploy AI agents for customer self-service on voice and chat .

Posted 11/10/2026full-timeRemote • United StatesSeniorLead💰 $107,900 - $195,050 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI agents for customer self-service, with a strong focus on Generative AI and LLM application development. Proficient in integrating AI capabilities with contact-center and CRM platforms while ensuring compliance with NIST SP 800-53 controls and federal AI governance.

Highest-signal resume keywords

Generative AI Application DevelopmentPython ProgrammingAWS Cloud SolutionsNIST SP 800-53 ComplianceAI Agent Configuration Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Agent DevelopmentRetrieval-Augmented GenerationPrompt EngineeringAPI IntegrationDistributed SystemsCloud ArchitectureMultilingual TestingLatency OptimizationResponse-Quality TuningGrounding Validation

Soft Skills

Effective CommunicationStakeholder Engagement

Tools & Technologies

Amazon Bedrock AgentsSalesforce Service CloudLangChainAgentCoreStrands Agents

Certifications & Qualifications

AWS AI CertificationsPublic Trust Security Clearance

Industry Keywords

Contact-Center AIFederal AI GovernanceFedRAMP AuthorizationGovernment RegulationsCustomer-Facing Solutions

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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