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Generative Ai Testing Jobs in Maryland (NOW HIRING)

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Generative Ai Testing information

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How do I become a Generative AI Testing?

To become a Generative AI Tester, develop skills in machine learning, natural language processing, and programming languages like Python. Gain experience with AI frameworks such as TensorFlow or PyTorch and understand data quality and model evaluation techniques. Certifications in AI or data science can enhance your qualifications and improve job prospects.

Is Generative AI Testing a good career?

Generative AI Testing is a growing field within AI development that involves evaluating the quality and safety of AI-generated content. It requires skills in machine learning, programming, and understanding AI models, making it a promising career path with increasing demand as AI technologies expand. Professionals in this area can find opportunities in tech companies, research labs, and startups focused on AI innovation.

What are the key skills and qualifications needed to thrive as a generative AI testing specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

What is generative AI testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.
What job categories do people searching Generative Ai Testing jobs in Maryland look for? The top searched job categories for Generative Ai Testing jobs in Maryland are:
What cities in Maryland are hiring for Generative Ai Testing jobs? Cities in Maryland with the most Generative Ai Testing job openings:
Infographic showing various Generative Ai Testing job openings in Maryland as of July 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

Senior AWS Generative AI Solution Engineer

Leidos

Fort Washington, MD • On-site

$107K - $195K/yr

Full-time

Medical, Retirement, PTO

Posted 2 days ago

New


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 151 frontline employees who took The Breakroom Quiz

77th of 483 rated business services


Job description

Description

Leidos is seeking an experienced Senior AWS Generative AI Solution Engineer to design and implement the reasoning layer for a GenAI-enabled HUD FHA Resource Center. The selected candidate will lead development of a multi-agent solution using Amazon Bedrock, AgentCore Runtime, Knowledge Bases, Guardrails, OpenSearch Serverless, AWS Lambda, and Retrieval-Augmented Generation to support grounded voice and chat interactions.

Core Responsibilities:

  • Design and implement Amazon Bedrock Agents, including a Supervisor Agent and domain-specific Sub-Agents.

  • Develop Retrieval-Augmented Generation workflows using Amazon Bedrock Knowledge Bases and OpenSearch Serverless.

  • Implement prompt engineering, agent routing, confidence logic, and low-confidence fallback behavior.

  • Configure Bedrock Guardrails for PII redaction, prompt-injection detection, denied topics, content safety, and grounding evaluation.

  • Build Lambda orchestration to connect Lex V2, Bedrock AgentCore, response generation, and human transfer decisions.

  • Support session management, conversation context persistence, and cross-channel consistency for voice and chat.

  • Integrate the GenAI stack with Amazon Connect, Salesforce, CloudWatch, DynamoDB, S3, SNS, IAM, and KMS.

  • Lead AI testing, response quality tuning, grounding validation, and latency optimization across production-like scenarios.

Please Note: This is 100% telework/remote opportunity.  However, candidate must be/reside in the Gaithersburg, MD/Washington, DC metro area.

Required Qualifications:

  • Bachelor’s degree and 8+ years of relevant experience OR Masters degree with 6+ years of relevant experience. Additional years of relevant experience may be considered and/or accepted in lieu of degree.

  • 8+ years of software engineering OR cloud development experience. 

  • At least 3 years of Generative AI OR LLM application development experience.

  • Strong Python development skills and experience building production AWS solutions.

  • Hands-on experience with Amazon Bedrock, RAG patterns, and vector-based retrieval.

  • Experience with APIs, distributed systems, and secure cloud architecture.

  • Ability to work effectively in a regulated government environment.

  • Ability to obtain and maintain a Public Trust security clearance.

  • US Citizen.

Preferred Qualifications:

  • AWS certifications such as AI Practitioner, Machine Learning Specialty, OR Solutions Architect Professional.

  • Experience with Amazon Bedrock Agents, AgentCore Runtime, Guardrails, and Knowledge Bases.

  • Experience with Claude models, agent frameworks, or multi-agent orchestration patterns.

  • Familiarity with FedRAMP environments and government AI governance requirements.

  • Experience with LangChain, Strands Agents, or other agent development frameworks.

Success Measures:

  • Supervisor Agent and Sub-Agents are implemented and tested across HUD service domains.

  • Responses are grounded, accurate, and safely filtered through Guardrails.

  • Confidence scoring and fallback behavior support reliable human escalation.

  • The GenAI platform is production-ready, maintainable, and compliant with security and privacy requirements.

Target Technical Skills:  Highly Desired/Preferred Skills (Nice to Have):

  • Amazon Bedrock, Bedrock Agents, Bedrock Guardrails, Bedrock Knowledge Bases, AgentCore Runtime.

  • Retrieval-Augmented Generation, prompt engineering, multi-agent systems, vector search.

  • AWS Lambda, Amazon Lex V2, Amazon Connect, CloudWatch.

  • Python, REST APIs, JSON, CloudFormation or Terraform, CI/CD.

  • OpenSearch Serverless, DynamoDB, S3, IAM, KMS.

Please Note:  The program budget salary for this role could fall anywhere between $130,000 to low/mid $150,000 with a slight wiggle room (no guarantees) based on relevant experience and assessment.  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. 

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:August 3, 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.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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