AI Architect

Position Overview

At Guidehouse, a leader in Data Engineering & Architecture Consulting, you will spearhead the design and implementation of scalable AI architectures that align with client business objectives and industry best practices. In this role, you collaborate with various teams, drive AI innovation including Generative and Agentic AI systems, and support modernization initiatives across industries. Compensation: The annual salary range is $130,000.00–$216,000.00.

Key Responsibilities

• Lead the design and implementation of scalable AI architectures aligned with client objectives.
• Collaborate with account leadership to identify and shape AI opportunities through business development efforts including RFP responses, white papers, and client presentations.
• Architect and build AI platforms and pipelines using cloud-native services (AWS, Azure, GCP, Palantir, Databricks) to support model development, deployment, and monitoring.
• Apply deep knowledge of the AI/ML lifecycle including data preparation, model training, evaluation, and operationalization with emphasis on performance, scalability, and maintainability.
• 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.

Required Qualifications

• 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 such as AWS, Azure, GCP, Palantir, and 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.

Preferred Qualifications

• 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).

Benefits & Perks

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Eligibility for a discretionary variable incentive bonus
• Parental Leave and Adoption Assistance
• 401(k) Retirement Plan
• Basic Life & Supplemental Life Insurance
• 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