Guidehouse is looking to hire a Data Engineering & Architecture Consulting professional to lead the design and implementation of scalable AI architectures that align with client business objectives and industry best practices.
Requirements
- 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.
- Cloud certifications (Azure/AWS/GCP)
Responsibilities
- Lead the design and implementation of scalable AI architectures that align with client business objectives and industry best practices.
- 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.
- Ensure AI solutions comply with commercial and public sector standards for responsible AI, data governance, and security.
Other
- Collaborate with account leadership to identify and shape AI opportunities, contributing to business development efforts including RFP responses, white papers, and client presentations.
- Provide technical leadership and mentorship to junior AI engineers and data scientists.
- Excellent communication and stakeholder management skills.
- Strategic thinker with a passion for innovation and continuous improvement.
- Experience in a consulting or advisory role, working directly with clients to define and deliver AI strategies.
