AI Solutions Architect
@ Perficient

Hybrid
$100,000
Hybrid
Full Time
Posted 4 days ago

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Job Details

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

Review cloud platform architectures.
Practice AI/ML pipeline design.
Study LLM production case studies.
Familiarize with enterprise automation tools.

Behavioral Questions

Describe a team conflict resolution.
Explain a challenging project scenario.
Discuss leadership in technical projects.
Share innovation experience in architecture.

Frequently Asked Questions