Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted today

Generative AI Solution Engineer

Leidos2,178 open roles

Pay
$130,000 a year
Where
8744 Gaithersburg MD Home Office
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowGenerative AI Solution EngineerLeidos · 8744 Gaithersburg MD Home Office

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Leidos's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Leidos postings stay open a median of 15 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.8%30 days
  6. 59.1%60 days
This job: posted today

Leidos median: 15 days open

The posting

Leidos is seeking an experienced Generative AI Solution Engineer to design, deliver, and operate AI-enabled customer service for the HUD FHA Resource Center. The selected candidate will lead implementation of AI self-service and agent assistance for voice and chat that is grounded in approved HUD content, protected by guardrails, and hands off smoothly to customer service representatives. The ideal candidate has taken generative AI from pilot to production in a customer-facing setting, knows when to configure a platform’s built-in AI capabilities and when a custom build is justified, and can produce the evidence that federal AI governance and security reviews require.

This is an exciting opportunity to work with emerging AI technologies, solve complex technical challenges, and make a meaningful impact while supporting a federal customer.

Please Note: 100% Remote | Candidate must reside within reasonable commuting distance of the Washington, DC metropolitan area in the Washington, DC / Gaithersburg, MD Metro Area.

Core Responsibilities:

  • Design, configure, and deploy AI agents for customer self-service on voice and chat, including their instructions, tools, and escalation behavior.
  • Develop Retrieval-Augmented Generation from approved program content, and work with content owners to keep the knowledge base accurate and current.
  • Implement prompt engineering, topic routing, and safe escalation to a live representative when AI is not the right answer, with a fallback path that keeps every customer reachable.
  • 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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Leidos's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Leidos's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Leidos's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.