Job highlights

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

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 creative AI solutions, committed to delivering cutting-edge technology and exceptional customer service. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Executive - Talent Acquisition (Chennai)
🏢 Bahwan Cybertek
📍 Chennai