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 or Minimum zero to one (0- 1) year of experience with Masters 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.