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Agentic AI Senior Solutions Architect

Perficient

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Original Job Summary

About the Role

Perficient is seeking an Agentic AI Senior Solutions Architect to drive GenAI innovation within our Data & Analytics team. This high-impact leadership role focuses on designing, deploying, and mentoring clients through AI-driven digital transformation.

Responsibilities

  • Design end-to-end GenAI solutions for diverse business cases.
  • Evaluate and apply GenAI tools, LLM frameworks and APIs.
  • Architect solutions using LangChain, LangGraph, and other agentic tools.
  • Leverage Python skills to build and scale intelligent systems.
  • Lead solution engineering while mentoring delivery teams.
  • Engage with senior client stakeholders to shape strategy.

Qualifications

Strong GenAI landscape fluency including agentic frameworks, orchestration platforms, LLM APIs, and deployment patterns. Hands-on experience with LangChain, LangGraph and Python, along with the ability to translate business problems into effective solution architectures.

Bonus Qualities

Startup mindset combined with enterprise sensibility and excitement for bleeding edge AI innovation.

Key Skills/Competency

  • GenAI
  • LangChain
  • Python
  • Architecture
  • Agentic
  • Innovation
  • Digital Transformation
  • Client Engagement
  • Solution Engineering
  • Mentorship

How to Get Hired at Perficient

🎯 Tips for Getting Hired

  • Research Perficient's culture: Review mission, projects, and client success stories.
  • Customize your resume: Highlight GenAI, LangChain, and Python experience.
  • Prepare for interviews: Practice technical architecture and client engagement examples.
  • Showcase leadership: Emphasize mentoring and strategic planning skills.

📝 Interview Preparation Advice

Technical Preparation

Review GenAI frameworks and LangChain documentation.
Brush up on Python coding and system architecture.
Study end-to-end AI solution deployments.
Practice designing scalable agentic workflows.

Behavioral Questions

Discuss past client stakeholder management experience.
Explain handling high-velocity project environments.
Describe mentoring experiences in technical teams.
Share strategies for innovative problem solving.