Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...
Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...
Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...
Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...
Business Solutions Developer
Ashburn, VA · On-site
$125 - $150/hr
Retrieval augmented generation * Authentication and access control * Source control, CI/CD, and automated testing * Migrating data and applications from an old system to a new one Plus: * SQL Server
Business Solutions Developer
Ashburn, VA · On-site
$125 - $150/hr
Retrieval augmented generation * Authentication and access control * Source control, CI/CD, and automated testing * Migrating data and applications from an old system to a new one Plus: * SQL Server
Business Solutions Developer
Ashburn, VA · On-site
Retrieval augmented generation * Authentication and access control * Source control, CI/CD, and automated testing * Migrating data and applications from an old system to a new one Plus: * SQL Server
Business Solutions Developer
Ashburn, VA · On-site
Retrieval augmented generation * Authentication and access control * Source control, CI/CD, and automated testing * Migrating data and applications from an old system to a new one Plus: * SQL Server
Cloud Solutions Architect 651
Chantilly, VA · On-site
$65 - $89/hr
Knowledge of retrieval augmented generation (RAG) and modern AI-driven analytics is a plus * Full-stack development experience across desktop, web, and cloud platforms * Proficiency with front-end ...
Cloud Solutions Architect 651
Chantilly, VA · On-site
$65 - $89/hr
Knowledge of retrieval augmented generation (RAG) and modern AI-driven analytics is a plus * Full-stack development experience across desktop, web, and cloud platforms * Proficiency with front-end ...
TTG-304 - Software Engineer - $288,250 Total Compensation with Security Clearance
Chantilly, VA · On-site
$288K/yr
Develop and integrate LLM-powered capabilities, including Retrieval-Augmented Generation, or RAG, pipelines.Experience LevelSubject Matter Expert Normally requires at least sixteen (16) years of ...
TTG-304 - Software Engineer - $288,250 Total Compensation with Security Clearance
Chantilly, VA · On-site
$288K/yr
Develop and integrate LLM-powered capabilities, including Retrieval-Augmented Generation, or RAG, pipelines.Experience LevelSubject Matter Expert Normally requires at least sixteen (16) years of ...
Data Scientist - AI/ML & Advanced Analytics (Fraud Analytics & Investigative Support)
Fairfax, VA · On-site +1
Applying NLP, LLMs, Retrieval-Augmented Generation (RAG), semantic search, information extraction, document intelligence, and other techniques to analyze and derive insights from unstructured text.
Data Scientist - AI/ML & Advanced Analytics (Fraud Analytics & Investigative Support)
Fairfax, VA · On-site +1
Applying NLP, LLMs, Retrieval-Augmented Generation (RAG), semantic search, information extraction, document intelligence, and other techniques to analyze and derive insights from unstructured text.
AI Evaluation Scientist
Mclean, VA · On-site
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
AI Evaluation Scientist
Mclean, VA · On-site
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
AI Evaluation Scientist
Mclean, VA · On-site
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
AI Evaluation Scientist
Mclean, VA · On-site
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
AI Evaluation Scientist with Security Clearance
Fairfax, VA · On-site
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
AI Evaluation Scientist with Security Clearance
Fairfax, VA · On-site
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
AI Evaluation Scientist with Security Clearance
Fairfax, VA · On-site
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
AI Evaluation Scientist with Security Clearance
Fairfax, VA · On-site
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
AI Evaluation Scientist
Mclean, VA · On-site
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
AI Evaluation Scientist
Mclean, VA · On-site
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
AI Evaluation Scientist
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
AI Evaluation Scientist
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
AI Evaluation Scientist
Mclean, VA · On-site
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
AI Evaluation Scientist
Mclean, VA · On-site
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
AI Evaluation Scientist
Mclean, VA · On-site
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
AI Evaluation Scientist
Mclean, VA · On-site
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
AI Evaluation Scientist
Mclean, VA · On-site
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
AI Evaluation Scientist
Mclean, VA · On-site
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
Forward Deployed Engineer (FDE) - Data 360
$115K - $139K/yr
Design, build, and maintain the AI data integration layer - RAG (Retrieval-Augmented Generation), vector databases, search indexes, and knowledge bases - that grounds Agentforce solutions in accurate ...
Forward Deployed Engineer (FDE) - Data 360
$115K - $139K/yr
Design, build, and maintain the AI data integration layer - RAG (Retrieval-Augmented Generation), vector databases, search indexes, and knowledge bases - that grounds Agentforce solutions in accurate ...
AI Evaluation Scientist
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
AI Evaluation Scientist
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
AI Evaluation Scientist
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
AI Evaluation Scientist
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
AI Evaluation Scientist with Security Clearance
Fairfax, VA · On-site
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
AI Evaluation Scientist with Security Clearance
Fairfax, VA · On-site
$105K - $145K/yr
Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
Entry Level Retrieval Augmented Generation information
What is an entry level retrieval augmented generation job?
Entry level retrieval augmented generation jobs involve assisting in the development and optimization of AI systems that combine information retrieval techniques with generative models. Employees in these roles typically help build, test, and maintain systems where AI retrieves relevant data from large databases to enhance the accuracy and relevance of generated responses. These positions often require basic skills in programming, machine learning, and familiarity with natural language processing. They are ideal for recent graduates or those new to AI, offering opportunities to learn about modern AI architectures and contribute to innovative projects. Entry level workers may work under the guidance of senior engineers or researchers, supporting experimentation and evaluation tasks.
What are the key skills and qualifications needed to thrive as an entry level retrieval augmented generation specialist?
To thrive as an Entry Level Retrieval Augmented Generation Specialist, you need a foundational understanding of natural language processing (NLP), information retrieval, and basic programming skills, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, vector databases (like FAISS or Pinecone), and frameworks for large language models (LLMs) is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate and troubleshoot solutions in team environments. These skills and qualities are crucial for building reliable RAG systems that deliver accurate and relevant information to users.
What are some common challenges faced by entry-level professionals working in retrieval augmented generation roles?
Entry-level professionals in Retrieval Augmented Generation (RAG) often encounter challenges such as understanding how to effectively combine information retrieval systems with large language models and adapting to rapidly evolving technologies. Balancing accuracy and efficiency when designing or fine-tuning retrieval pipelines can also be a learning curve. Additionally, you may need to collaborate closely with data engineers, machine learning specialists, and product teams to ensure the RAG system aligns with business requirements. Staying proactive in learning and engaging with peers can help overcome these challenges and accelerate career growth.
What is the difference between Entry Level Retrieval Augmented Generation vs Entry Level Data Scientist?
| Aspect | Entry Level Retrieval Augmented Generation | Entry Level Data Scientist |
|---|---|---|
| Required Credentials | Basic programming, understanding of NLP and AI concepts | Bachelor's in Data Science, Computer Science, or related field |
| Work Environment | Tech companies, AI startups, research labs | Tech firms, finance, healthcare, consulting |
| Industry Usage | AI development, NLP applications, chatbot creation | Data analysis, predictive modeling, data-driven decision making |
Entry Level Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with generative AI, requiring knowledge of NLP and programming. Entry Level Data Scientist involves analyzing data, building models, and deriving insights, often with a broader data analysis skill set. While both roles require technical skills, Retrieval Augmented Generation is more specialized in AI model development, whereas Data Scientists work across various data projects.
What are the most commonly searched types of Retrieval Augmented Generation jobs in Virginia?
The most popular types of Retrieval Augmented Generation jobs in Virginia are:
What are popular job titles related to Entry Level Retrieval Augmented Generation jobs in Virginia?
For Entry Level Retrieval Augmented Generation jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Entry Level Retrieval Augmented Generation jobs in Virginia look for?
The top searched job categories for Entry Level Retrieval Augmented Generation jobs in Virginia are:
What cities in Virginia are hiring for Entry Level Retrieval Augmented Generation jobs?
Cities in Virginia with the most Entry Level Retrieval Augmented Generation job openings:
Cyber AI Governance and Privacy Consultant
Richmond, VA • On-site
Deloitte •
Finance and Insurance • 10K+ employees10,000+ employees
Full-time
Posted 23 days ago
Deloitte rating
8.2
Based on 93 frontline employees who took The Breakroom Quiz
48th of 154 rated financial services
Job description
We are seeking an AI Governance and Privacy Consultant who can operationalize responsible AI in real systems-especially agentic AI and LLM-enabled applications. This role blends governance and privacy expertise with enough software development fluency to create developer-ready guidance, implement controls-as-code patterns, and stand up measurable evaluation and monitoring workflows.
As a Senior Consultant, you will help clients and internal delivery teams move from AI principles to practices: risk tiering, model and agent inventories, technical guardrails, governance workflows integrated into the SDLC, and evidence artifacts suitable for audits and regulators.
Recruiting for this role ends on 12/31/2026.
Work you'll do
As a Consultant, Strategy, Growth and Transformation on the Cyber team, you will be responsible for:
- Designing and implementing AI governance operating models, intake workflows, risk tiering, approvals, documentation standards, exception handling, and audit-ready evidence processes for generative AI and agentic AI deployments.
- Building and maintaining inventories for models, agents, tools, data sources, and integrations, with defined ownership, intended use, risk classification, and change-control requirements.
- Conducting risk assessments across privacy, security, model risk, and misuse scenarios, including prompt injection, sensitive data exposure, excessive agency, and overreliance, and translating findings into implementable mitigations.
- Establishing technical control guidance for teams building agentic AI solutions, including human-in-the-loop patterns, tool access controls, retrieval and grounding practices, logging, monitoring, token and data minimization, and incident response playbooks.
- Integrating governance checkpoints into product and engineering delivery through architecture reviews, release gates, evaluation requirements, documentation automation, evidence capture, dashboards, and cross-functional collaboration with Cybersecurity, Privacy, Legal, Risk, Engineering, and Data Science teams.
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
You will join a cross-functional group working at the intersection of cyber, privacy, governance, and emerging AI delivery. The team helps organizations scale AI responsibly by combining governance and engineering patterns so teams can innovate faster without compromising trust.
Qualifications
Required:
- Bachelor's degree or equivalent practical experience.
- 2+ years of experience in AI governance, data privacy, security risk management, compliance and controls, AI product risk, model risk management, or technology risk consulting.
- Experience translating policies and regulatory expectations into operational workflows and artifacts, including intake processes, inventories, decision logs, risk registers, responsibility assignment matrices, playbooks, privacy impact assessments, and data protection impact assessments.
- Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and defining mitigations for privacy, security, model risk, and misuse.
- Experience prototyping or automating governance workflows using Python or Structured Query Language and working with continuous integration and continuous deployment pipelines and cloud deployment basics.
- Ability to travel 0-50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience in consulting or a Big 4 environment.
- Experience operationalizing AI governance aligned to the National Institute of Standards and Technology AI Risk Management Framework or ISO/IEC 42001.
- Experience with generative AI safety and evaluation practices, including prompt injection testing, jailbreak resilience, hallucination measurement, toxicity scoring, harm scoring, and grounding effectiveness.
- Experience with governance, workflow, or ticketing platforms, including OneTrust and governance, risk, and compliance systems, and integrating those platforms into engineering delivery processes.
- Certifications such as Certified Information Privacy Professional/United States, Certified Information Privacy Manager, International Association of Privacy Professionals AI Governance Professional, Certified Information Security Manager, or Certified Information Systems Security Professional.
- Experience in cyber or enterprise security environments, including data security, identity, audit logging, secure software development lifecycle practices, human-in-the-loop escalation pathways, exception handling, and automated safety protocols for autonomous systems.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600-$162,800.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#CyberDTP27
We are seeking an AI Governance and Privacy Consultant who can operationalize responsible AI in real systems-especially agentic AI and LLM-enabled applications. This role blends governance and privacy expertise with enough software development fluency to create developer-ready guidance, implement controls-as-code patterns, and stand up measurable evaluation and monitoring workflows.
As a Senior Consultant, you will help clients and internal delivery teams move from AI principles to practices: risk tiering, model and agent inventories, technical guardrails, governance workflows integrated into the SDLC, and evidence artifacts suitable for audits and regulators.
Recruiting for this role ends on 12/31/2026.
Work you'll do
As a Consultant, Strategy, Growth and Transformation on the Cyber team, you will be responsible for:
- Designing and implementing AI governance operating models, intake workflows, risk tiering, approvals, documentation standards, exception handling, and audit-ready evidence processes for generative AI and agentic AI deployments.
- Building and maintaining inventories for models, agents, tools, data sources, and integrations, with defined ownership, intended use, risk classification, and change-control requirements.
- Conducting risk assessments across privacy, security, model risk, and misuse scenarios, including prompt injection, sensitive data exposure, excessive agency, and overreliance, and translating findings into implementable mitigations.
- Establishing technical control guidance for teams building agentic AI solutions, including human-in-the-loop patterns, tool access controls, retrieval and grounding practices, logging, monitoring, token and data minimization, and incident response playbooks.
- Integrating governance checkpoints into product and engineering delivery through architecture reviews, release gates, evaluation requirements, documentation automation, evidence capture, dashboards, and cross-functional collaboration with Cybersecurity, Privacy, Legal, Risk, Engineering, and Data Science teams.
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
You will join a cross-functional group working at the intersection of cyber, privacy, governance, and emerging AI delivery. The team helps organizations scale AI responsibly by combining governance and engineering patterns so teams can innovate faster without compromising trust.
Qualifications
Required:
- Bachelor's degree or equivalent practical experience.
- 2+ years of experience in AI governance, data privacy, security risk management, compliance and controls, AI product risk, model risk management, or technology risk consulting.
- Experience translating policies and regulatory expectations into operational workflows and artifacts, including intake processes, inventories, decision logs, risk registers, responsibility assignment matrices, playbooks, privacy impact assessments, and data protection impact assessments.
- Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and defining mitigations for privacy, security, model risk, and misuse.
- Experience prototyping or automating governance workflows using Python or Structured Query Language and working with continuous integration and continuous deployment pipelines and cloud deployment basics.
- Ability to travel 0-50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience in consulting or a Big 4 environment.
- Experience operationalizing AI governance aligned to the National Institute of Standards and Technology AI Risk Management Framework or ISO/IEC 42001.
- Experience with generative AI safety and evaluation practices, including prompt injection testing, jailbreak resilience, hallucination measurement, toxicity scoring, harm scoring, and grounding effectiveness.
- Experience with governance, workflow, or ticketing platforms, including OneTrust and governance, risk, and compliance systems, and integrating those platforms into engineering delivery processes.
- Certifications such as Certified Information Privacy Professional/United States, Certified Information Privacy Manager, International Association of Privacy Professionals AI Governance Professional, Certified Information Security Manager, or Certified Information Systems Security Professional.
- Experience in cyber or enterprise security environments, including data security, identity, audit logging, secure software development lifecycle practices, human-in-the-loop escalation pathways, exception handling, and automated safety protocols for autonomous systems.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600-$162,800.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#CyberDTP27
About Deloitte
Sourced by ZipRecruiter
Industry
Finance and insurance and business management consulting
Company size
10,000+ Employees
Headquarters location
Orlando, FL, US