2 days ago
Base Salary
$108k - $195k/yr
Responsibilities
- Design, configure, and deploy AI agents for customer self-service across voice and chat, including instructions, tools, routing, and escalation behavior.
- Develop retrieval-augmented generation using approved program content and maintain accurate, current knowledge bases with content owners.
- Implement prompt engineering, topic routing, guardrails, PII redaction, prompt-injection detection, denied-topic controls, content safety, and safe live-agent escalation.
- Build contact-center flows, bots, and serverless functions that integrate AI agents with customer channels, backend systems, CRM platforms, and live representatives.
- Preserve conversation context across voice, chat, and live-agent handoffs and provide agent-assistance features such as suggested answers and contact summaries.
- Integrate AI capabilities with contact-center and CRM systems using secure logging, encryption, and least-privilege access.
- Lead AI testing, response-quality tuning, grounding validation, latency optimization, multilingual testing, and adversarial red-team testing against the OWASP Top 10 for LLM Applications.
- Define and operate ongoing evaluations of accuracy, grounding, safety, and customer-need resolution, using results to tune prompts, content, and guardrails.
- Produce federal AI governance and security-authorization documentation, including work with the ISSO on NIST SP 800-53 controls and privacy reviews.
- Manage AI agent, prompt, guardrail, and flow configuration as code through government change control.
Requirements
- Bachelor’s degree and at least 8 years of software engineering or cloud development experience.
- At least 3 years of generative AI or LLM application development experience.
- Experience delivering 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 with AI agents, RAG patterns, and vector-based retrieval on a cloud contact-center, CRM, or generative AI platform such as Amazon Connect or Amazon Bedrock.
- Experience with APIs, distributed systems, and secure cloud architecture.
- Experience working with security staff on NIST SP 800-53 control documentation in a regulated government environment.
- U.S. citizenship and ability to obtain and maintain a Public Trust security clearance.
- Preferred qualifications include relevant AWS or contact-center/CRM AI certifications.
- Preferred experience includes contact-center AI features, foundation-model evaluation, FedRAMP environments, OMB M-25-21, the NIST AI Risk Management Framework, NIST AI 600-1, Amazon Bedrock Agents, AgentCore, LangChain, Strands Agents, Model Context Protocol, Salesforce Service Cloud, contact-center migrations, multilingual bots, and communicating AI risks and tradeoffs to technical and non-technical stakeholders.
Benefits
- 100% remote/telework, with residence required within reasonable commuting distance of the Washington, DC metropolitan area in the Washington, DC / Gaithersburg, MD Metro Area.
- The role supports a federal customer and offers work on emerging generative AI technologies and regulated AI governance.
- The posting lists an anticipated program salary budget of approximately $130,000 to the low/mid $150,000 range and a stated pay range of $107,900.00 to $195,050.00.
About Leidos
Leidos builds and operates technology and engineering solutions for defense, intelligence, civil, and health agencies, including systems integration, cyber, enterprise IT, sensors, and healthcare IT. It primarily sells through government contracts and long-term programs, plus managed services and mission software. Founded in 1969 and headquartered in Reston, Virginia, Leidos is a Fortune 500 public company on the NYSE; customers include U.S. defense and intelligence agencies and civil bodies such as the FAA.