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Job details

Gen AI Engineer

Job Family:

Data Science & Analysis (Digital)


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

  • Develop and deploy advanced AI/ML models, including large language models (LLMs), to solve complex problems in the financial /health/ state and local/cyber industry.
  • Build production-grade AI/ML systems and data products that can be reliably deployed and scaled.
  • Collaborate cross-functionally with business stakeholders, data scientists, and software engineers to understand requirements and translate them into technical solutions.
  • Continuously optimize and improve AI/ML models and systems to enhance performance and business impact.
  • Communicate technical concepts and model capabilities to non-technical stakeholders in a clear and compelling manner.
  • Stay up to date with developments in AI/ML.

What You Will Need:

  • Bachelor's degree is required
  • Minimum TWO (2) years of experience in building production-grade AI/ML systems and data products using best practices in software engineering
  • Ability to analyze large and complex data sets, with strong aptitude for conducting quantitative and qualitative analysis focused on financial services use cases.
  • Excellent programming skills in Python, TensorFlow, PyTorch, or other relevant frameworks.
  • Ability to identify and address client needs, build relationships, design, and implement solutions.

What Would Be Nice To Have:

  • Master's degree
  • Experience in building and deploying AI/ML systems at scale in a cloud environment.
  • Understanding of ML/analytics product lifecycle management (MLOps, DataOps).
  • Contributions to open-source AI/ML projects or publications in relevant academic/industry journals.
  • Technical/product management and software experience.
  • Familiarity with the Azure OpenAI service and LLM agent APIs such as LangChain.
  • Familiarity with AWS bedrock and Claude.
  • AWS and Azure certifications.
  • Strong communication skills and the ability to work in a team.
  • A proactive approach to learning and staying updated with the latest advancements in AI.
  • Experience in working with cross-functional teams.

The annual salary range for this position is $85,000.00-$141,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com.  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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Average salary estimate

$113000 / YEARLY (est.)
min
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$85000K
$141000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Gen AI Engineer, Guidehouse

Are you an innovative thinker with a passion for AI and machine learning? Join Guidehouse as a Gen AI Engineer in McLean, VA, and become part of a dynamic team dedicated to solving complex problems in financial services and beyond! In this exciting role, you'll develop and deploy advanced AI and ML models, including large language models (LLMs), to create impactful solutions. Your experience in building production-grade AI/ML systems and data products will play a key role here! Collaboration is at the heart of what we do, so you'll be working closely with business stakeholders, fellow data scientists, and software engineers to transform requirements into exciting technical solutions. As a Gen AI Engineer, you’ll continuously optimize AI/ML models to enhance performance while communicating intricate technical concepts in an approachable way. Staying up-to-date with the latest AI and ML trends is essential, as you'll need to bring cutting-edge techniques to our projects. With a bachelor's degree and at least two years of relevant experience under your belt, you'll be ready to analyze complex data sets and derive meaningful insights. Bring along your programming skills in Python, TensorFlow, or PyTorch, and let's create something incredible together! If you’re looking to grow your career in a supportive and diverse environment, Guidehouse offers a comprehensive rewards package that includes competitive pay and flexible benefits. Come and be a part of the future with us!

Frequently Asked Questions (FAQs) for Gen AI Engineer Role at Guidehouse
What are the responsibilities of a Gen AI Engineer at Guidehouse?

As a Gen AI Engineer at Guidehouse, you will be responsible for developing and deploying advanced AI/ML models to tackle complex challenges across various industries. Your primary tasks will include building production-grade systems and collaborating with cross-functional teams to translate business needs into technical solutions. Continuous model optimization and effective communication of technical concepts to non-technical stakeholders are also key aspects of the role.

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What qualifications do you need to apply for the Gen AI Engineer position at Guidehouse?

To qualify for the Gen AI Engineer role at Guidehouse, candidates should hold a bachelor's degree and possess a minimum of two years of experience in building AI/ML systems and data products using best software engineering practices. Strong programming skills in languages such as Python, TensorFlow, or PyTorch, along with the ability to analyze large datasets, are essential for success in this role.

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Is experience in cloud computing necessary for the Gen AI Engineer role at Guidehouse?

While not strictly required, experience in cloud environments for deploying and scaling AI/ML systems can be advantageous for the Gen AI Engineer position at Guidehouse. Familiarity with MLOps and DataOps is also beneficial, as the company values a proactive approach to learning and staying updated with the latest advancements in AI.

Join Rise to see the full answer
How does collaboration work for a Gen AI Engineer at Guidehouse?

Collaboration is crucial for a Gen AI Engineer at Guidehouse. You will engage directly with business stakeholders, data scientists, and software engineers to gather requirements and translate them into impactful technical solutions. Working in cross-functional teams ensures diverse perspectives and fosters innovation, creating a collaborative work environment.

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What benefits does Guidehouse offer to Gen AI Engineers?

Guidehouse offers a comprehensive total rewards package for Gen AI Engineers, which includes competitive compensation, flexible benefits such as medical and dental insurance, a 401(k) retirement plan, tuition reimbursement, and additional perks like parental leave and short-term and long-term disability coverage. Employees enjoy a diverse and supportive workplace aimed at professional growth.

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Common Interview Questions for Gen AI Engineer
Can you explain your experience with AI/ML models?

When answering this question, highlight specific AI/ML projects you've worked on, the models you developed, and the impact they had. Be sure to discuss the challenges you faced and how you overcame them, demonstrating your problem-solving skills and technical expertise.

Join Rise to see the full answer
How do you approach optimization for AI models?

Discuss your methodology for optimizing AI models, including techniques such as hyperparameter tuning, feature engineering, and regularization. It's also useful to mention any tools or frameworks you use to monitor and improve model performance based on real-world data.

Join Rise to see the full answer
What programming languages are you proficient in?

Be specific about your proficiency in programming languages relevant to AI/ML, such as Python, TensorFlow, or PyTorch. Share examples where you utilized these languages in projects and why you prefer them for AI model development.

Join Rise to see the full answer
Describe a time when you had to communicate complex technical concepts to a non-technical audience.

Provide an example where you successfully conveyed technical information to stakeholders without a technical background. Focus on your communication style, the strategies you employed, and the outcome of this interaction, showcasing your ability to bridge the gap between technical and non-technical teams.

Join Rise to see the full answer
What is your experience with cloud technologies?

Detail your knowledge and experience with cloud platforms like AWS or Azure. Discuss specific projects where you deployed AI/ML systems in a cloud environment, along with any relevant certifications that may enhance your credibility.

Join Rise to see the full answer
How do you keep updated with the latest trends in AI/ML?

Mention your methods for staying informed, whether it’s following industry-leading publications, attending conferences, or participating in online communities. Discussing any personal projects where you’ve applied new techniques can also demonstrate your proactive approach to learning.

Join Rise to see the full answer
What do you consider the biggest challenges in the AI/ML industry today?

Take the opportunity to showcase your industry knowledge by discussing current challenges such as ethical considerations, data privacy, and bias in AI models. Reflecting on these topics shows your awareness of the bigger picture and your ability to think critically about the future of the field.

Join Rise to see the full answer
Can you describe your experience with MLOps?

Answer by explaining your understanding and experience with MLOps practices. Focus on how you’ve integrated DevOps principles into your AI/ML workflows and any tools you’ve used to streamline model deployment and management.

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What type of AI/ML projects have you worked on that had significant business impact?

Share specific examples of projects where your AI/ML solutions drove measurable results in business. Be clear about your role in the project, the tools used, and the significance of the impact to illustrate your contributions effectively.

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How do you handle feedback on your work?

Discuss your attitude towards constructive criticism and how feedback can lead to improvement. Sharing an experience where you received feedback and implemented changes can illustrate your willingness to learn and grow professionally.

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Full-time, on-site
DATE POSTED
April 13, 2025

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