Challenge
Client, a leading energy provider, sought to accelerate their enterprise AI- driven transformation. The client required a Gen AI Architect to design and implement autonomous AI systems for advanced analytics, multi-modal customer queries, and operational optimization.
- Automation of processes to reduce operational inefficiencies
- Enhanced customer experience through AI-driven personalization
- Scalable digital solutions to remain competitive in a rapidly evolving financial services landscape
Strategy & Approach
To solve for the scarcity of qualified Gen AI talent, Ktek implemented an AI-powered talent mapping and engagement process:
- Leveraged advanced sourcing tools to scan niche AI, data science, and ML communities—including GitHub, OpenAI forums, and Kaggle—for candidates actively building Gen AI and agentic architectures.
- Launched highly specific job campaigns on platforms like LinkedIn and Dice using terms like “Gen AI Architect,” “autonomous agent systems,” “RAG,” and “prompt tuning.” Targeted outreach was filtered for the Houston TX talent pool.
- Conducted multi-step skill validations—using coding tasks, scenario-based AI architecture challenges, and panel interviews. Video screenings and transcript analysis through Katalix AI's ATS ensured true skill and communication fit.
- Diversification in Hiring :Ensured a diverse slate of candidates across gender, ethnicity, and professional backgrounds to align with client inclusivity goals.
