Configure AI guardrails for PII redaction, prompt-injection detection, denied topics, and content safety.
Build contact-center flows, bots, and serverless functions that connect AI agents to customer channels, backend systems, and transfer to a live representative.
Carry conversation context across voice and chat and into the live-agent handoff, and deliver AI assistance for customer service representatives, such as suggested answers and contact summaries.
Integrate AI capabilities with the contact-center platform and the customer relationship management (CRM) system, with secure logging, encryption, and least-privilege access.
Lead AI testing, response quality tuning, grounding validation, and latency optimization across production-like scenarios, including multilingual and adversarial (red-team) testing against the OWASP Top 10 for LLM Applications.
Define and run ongoing AI quality evaluation (accuracy, grounding, safety, and resolution of the customer’s need), and use the results to tune prompts, content, and guardrails.
Produce the documentation that federal AI governance and security authorization require. Work with the ISSO on NIST SP 800-53 controls and privacy reviews, and support HUD’s AI use-case inventory under OMB M-25-21.
Manage AI agent, prompt, guardrail, and flow configuration as code, released through government change control.
Required Qualifications
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 (for example, resolution rate, answer accuracy, or customer satisfaction).
Strong software development skills (for example, 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 (for example, Amazon Connect or Amazon Bedrock).
Experience with APIs, distributed systems, and secure cloud architecture.
Ability to work effectively in a regulated government environment, including working with security staff on NIST SP 800-53 control documentation for the systems the candidate builds.
U.S. Citizen.
Ability to obtain and maintain a Public Trust security clearance.
Preferred Qualifications
AWS certifications such as Generative AI Developer – Professional, Machine Learning Engineer – Associate, AI Practitioner, Security – Specialty, or Solutions Architect – Professional, or equivalent contact-center or CRM platform AI certifications.
Experience with contact-center AI features such as AI agents, agent assistance, conversation analytics, and automated quality evaluation.
Experience evaluating and selecting foundation models on accuracy, latency, cost, and FedRAMP authorization status.
Familiarity with FedRAMP environments and government AI governance requirements, such as OMB M-25-21, the NIST AI Risk Management Framework and its Generative AI Profile (NIST AI 600-1).
Experience with Amazon Bedrock Agents, AgentCore, LangChain, Strands Agents, or other agent development frameworks, and with the Model Context Protocol (MCP).
Experience with CRM platforms such as Salesforce Service Cloud, including their native AI agent and agent-assist features.
Experience migrating a contact center between platforms, and with multilingual voice and chat bots.
Ability to explain AI risks, tradeoffs, and results clearly to program leaders, security reviewers, and non-technical stakeholders.
Additional Notes
This is a 100% telework/remote opportunity. However, candidates must reside within reasonable commuting distance of the Washington, DC metropolitan area in the Washington, DC / Gaithersburg, MD Metro Area.
Please be advised that during the interview, you will be required to keep your camera on, and your interviewer will be taking your picture for identification purposes if an offer letter is extended to you.
The anticipated program salary budget for this role is approximately $130,000 to low/mid $150,000 with limited flexibility based on qualifications and assessment (no guarantees). Final compensation will be determined based on relevant experience, responsibilities, internal equity, market data, and applicable requirements.
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.
Original Posting
November 10, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range
Pay Range $107,900.00 - $195,050.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
