Perficient is looking for an AI Technical Architect to provide technology direction, ensure project implementation, and utilize technology research to innovate, integrate, and manage technology solutions for their clients, leveraging AI to drive business results.
Requirements
- 2+ years working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production settings
- Experience with prompt engineering, RAG, or agentic AI architectures
- Strong understanding of conversational UX and prompt evaluation metrics
- Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc)
- Ability to self direct and build full stack prototypes to show thought process and work direction
- Knowledge of distributed systems design and implementation or equivalent
- Knowledge of large-scale automation and workflow management or equivalent
Responsibilities
- Architect the Future Define and drive the AI and platform architecture vision, establishing best practices for building secure, scalable, and high-performance systems on Azure, AWS and GCP.
- Lead AI Enablement Design and implement AI/ML capabilities across the platform, including data ingestion, model lifecycle management, and real-time monitoring to deliver actionable insights.
- Evaluate Emerging Technologies Continuously assess new AI/ML tools and trends to ensure the platform remains innovative and aligned with strategic business goals.
- Establish Technical Standards Define and enforce architectural standards, toolsets, and integration frameworks.
- Optimize Performance and Cost Direct initiatives to monitor and enhance platform performance and cost-efficiency using advanced platform tools, ensuring high availability and scalability.
- Implementing guardrails, optimizing for costs, and evaluating model performances.
Other
- Collaborate Across Functions Act as a key liaison between engineering, product, and business stakeholders, translating business needs into actionable architectural designs and ensuring cohesive execution.
- Mentor and Inspire Guide and support engineering teams, fostering a culture of innovation, collaboration, and continuous learning within the architecture function.
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud
- Experience with specialization in Machine Learning, Deep Learning, or Natural Language Processing and strong AI/ML focus
