Perficient is looking to solve business problems through the transformative power of AI by delivering real business results and driving innovation and efficiency for their clients.
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)
- Knowledge of distributed systems design and implementation or equivalent
- Knowledge of large-scale automation and workflow management or equivalent
- Experience with specialization in Machine Learning, Deep Learning, or Natural Language Processing and strong AI/ML focus
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.
- 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.
- 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.
- Mentor and Inspire Guide and support engineering teams, fostering a culture of innovation, collaboration, and continuous learning within the architecture function.
Other
- Bachelor's degree in Computer Science, Linguistics, Philosophy, Cognitive Science, or comparable experience in industry or a related field
- Ability to self direct and build full stack prototypes to show thought process and work direction
- Presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- Travel requirements not specified
- Equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran
