We are looking for a skilled AI Lead with 12-15 years of experience in IT Services, including leading AI or Data Science practices and implementing Generative AI and LLM. The ideal candidate will have proficiency in Python (Back-end/AI) and React/Next.js (Front-end) to build end-to-end AI apps.

Roles and Responsibility

• Lead technical discovery calls and draft winning, value-based RFP responses.


• Build functional POCs within 1-2 weeks to support the Practice Head's growth goals.


• Manage AI infrastructure across AWS, Azure, and GCP to maintain flexibility without deep partner ties.


• Conduct code reviews and architect data engineering pipelines using FastAPI, Pandas, and LangChain.


• Deploy production-ready AI using Llama, Mistral, and Hugging Face to avoid high vendor licensing costs.


• Identify "Blue Ocean" niches for mid-market clients who are underserved by larger consulting firms.

Job Requirements

• Proficiency in Python (Back-end/AI) and React/Next.js (Front-end) for building end-to-end AI apps.


• Experience in managing AI projects from pilot/POC to full-scale production.


• Documented success in managing a P&L with limited capital, demonstrating high "resourcefulness-to-revenue" ratios.


• Extensive experience in technical sales and RFP ownership, with a high win rate in the mid-market or boutique segment.


• Ability to convert existing software engineers into AI/ML-ready developers to save on hiring.


• Expertise in managing the "Fail Fast" cycle of AI POCs to ensure budget isn't wasted on non-viable use cases.


• Deep understanding of the SDLC and MLOps.


• Experience in "AI-ifying" traditional enterprise systems (e.g., migrating legacy middleware or databases to AI-enabled architectures).


• Exposure to multiple industries (e.g., BFSI, Retail, or Manufacturing) to identify cross-sector AI opportunities that can be "productized".


• Willingness to be hands-on with technical hurdles while simultaneously managing the high-level P&L.


• Proven experience building efficient Retrieval-Augmented Generation (RAG) pipelines and agentic workflows.


• Skilled in deploying production-ready AI using Llama, Mistral, and Hugging Face to avoid high vendor licensing costs.


• Hands-on ability to conduct code reviews and architect data engineering pipelines using FastAPI, Pandas, and LangChain.


• Ability to turn custom AI projects into repeatable solution templates to shorten sales cycles.


• Proven track record of leading technical discovery calls and drafting winning, value-based RFP responses.

About Company

Bahwan CyberTek is a leading provider of innovative AI solutions, committed to delivering cutting-edge technology and exceptional customer service.

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