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Guidehouse

AI Architect

Posted 3 Days Ago
Be an Early Applicant
In-Office or Remote
4 Locations
130K-216K Annually
Senior level
In-Office or Remote
4 Locations
130K-216K Annually
Senior level
Lead design and implementation of AI architectures, develop AI platforms, ensure compliance with standards, and mentor junior engineers.
The summary above was generated by AI

Job Family:

Data Engineering & Architecture Consulting


Travel Required:

None


Clearance Required:

None

What You Will Do:

  • Lead the design and implementation of scalable AI architectures that align with client business objectives and industry best practices.
  • Collaborate with account leadership to identify and shape AI opportunities, contributing to business development efforts including RFP responses, white papers, and client presentations.
  • Architect and build AI platforms and pipelines leveraging cloud-native services (AWS, Azure, GCP, Palantir, Databricks) to support model development, deployment, and monitoring.
  • Apply deep knowledge of AI/ML lifecycle, including data preparation, model training, evaluation, and operationalization, with a focus on performance, scalability, and maintainability.
  • Stay current with emerging AI technologies and frameworks, and assess their applicability to client use cases.
  • Drive hands-on development of AI solutions, including Generative AI and Agentic AI systems, ensuring robust integration with enterprise systems and data sources.
  • Collaborate with cross-functional teams (data engineering, software development, DevOps) to ensure seamless delivery of AI solutions.
  • Provide technical leadership and mentorship to junior AI engineers and data scientists.
  • Ensure AI solutions comply with commercial and public sector standards for responsible AI, data governance, and security.

What You Will Need:

  • Bachelor’s degree is required
  • Minimum EIGHT (8) years of hands-on experience in AI, machine learning, and data analytics, preferably in financial services or regulated industries.
  • Minimum TWO (2) years of experience with Generative AI and/or Agentic AI architectures.
  • Proven experience architecting and deploying AI solutions on cloud platforms (AWS, Azure, GCP, Palantir, Databricks).
  • Strong understanding of AI/ML architecture principles, including model lifecycle management, MLOps, and scalable data pipelines.
  • Demonstrated success leading AI-driven modernization initiatives and delivering production-grade solutions.
  • Excellent communication and stakeholder management skills.
  • Strategic thinker with a passion for innovation and continuous improvement.

What Would Be Nice To Have:

  • Experience in a consulting or advisory role, working directly with clients to define and deliver AI strategies.
  • Master’s degree in a relevant technical or business discipline.
  • Cloud certifications (Azure/AWS/GCP)

The annual salary range for this position is $130,000.00-$216,000.00. 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

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

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 [email protected]. 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 [email protected].  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 [email protected]. 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.

Top Skills

AWS
Azure
Databricks
GCP
Palantir

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