Want to get hired at Perficient?
AI Solutions Architect
Perficient
HybridHybrid
Original Job Summary
Overview
Perficient, a global AI-first consultancy, is seeking an AI Solutions Architect. Join a team of strategists, designers, technologists, and engineers driving real business results through AI.
Responsibilities
- Define and drive AI and platform architecture vision on Azure, AWS, and GCP.
- Implement AI/ML capabilities including data ingestion, model lifecycle management, and real-time monitoring.
- Develop automation pipelines and workflows using platforms such as Appian, Pega, and Camunda.
- Continuously evaluate emerging AI/ML technologies and trends.
- Collaborate with engineering, product, and business stakeholders to translate needs into actionable designs.
- Establish technical standards and enforce integration frameworks.
- Mentor teams and foster innovation within the architecture function.
Qualifications
Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. 2+ years working with LLMs (e.g., GPT, Claude, Mistral) in production. Experience with prompt engineering, RAG, agentic AI architectures, and conversational UX. Must be open to travel.
Preferred Skills
- Experience in distributed systems design and large-scale automation.
- Expertise in cloud migration and transformation.
- Comfortable with presentations and whiteboarding at executive levels.
- Specialization in Machine Learning, Deep Learning, or Natural Language Processing.
Additional Information
The salary range is estimated between $81,978 and $178,090 (base only). Perficient is an equal opportunity employer committed to diversity and providing reasonable accommodations for disabilities.
Key skills/competency
- AI
- Cloud
- Automation
- ML
- Architecture
- Azure
- AWS
- GCP
- Integration
- Innovation
How to Get Hired at Perficient
🎯 Tips for Getting Hired
- Customize your resume: Highlight relevant AI and cloud projects.
- Research Perficient's culture: Understand their AI-first approach.
- Showcase technical skills: Emphasize hands-on experience with LLMs.
- Prepare for interviews: Brush up on architecture and automation case studies.
📝 Interview Preparation Advice
Technical Preparation
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Review cloud platform architectures.
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Practice AI/ML pipeline design.
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Study LLM production case studies.
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Familiarize with enterprise automation tools.
Behavioral Questions
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Describe a team conflict resolution.
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Explain a challenging project scenario.
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Discuss leadership in technical projects.
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Share innovation experience in architecture.