We’re looking for an experienced AI Lead to drive our enterprise AI strategy, design scalable architectures, and lead the implementation of cutting‑edge AI/ML solutions. If you enjoy solving complex problems, shaping future‑ready AI capabilities, and leading cross‑functional innovation—this role is for you.
About the Role
As our AI Lead, you will:
- Define and own the organization’s AI vision and roadmap
- Architect cloud‑native, scalable AI/ML solutions
- Build and integrate LLM, Generative AI, NLP, and predictive solutions
- Ensure responsible AI, governance, and compliance across all initiatives
- Collaborate with Data Engineering, Product, and Business teams to deliver measurable outcomes
Key Responsibilities
- Design AI/ML architectures on Azure / AWS / GCP
- Build MLOps frameworks for CI/CD, monitoring, and lifecycle management
- Lead development of LLM, RAG, NLP, Computer Vision, and GenAI solutions
- Translate business problems into impactful AI use cases
- Evaluate emerging tools, models, and frameworks for enterprise adoption
- Drive responsible AI practices, including security, privacy, and explainability
What We’re Looking For
- 8–15+ years of experience in Data, AI/ML,
- Strong hands‑on background in Python, ML/DL frameworks (TensorFlow/PyTorch)
- Experience leading AI/ML teams or large‑scale implementations
- Deep understanding of LLMs, vector DBs, RAG systems, and GenAI architectures
- Strong communication, stakeholder engagement, and leadership skills
Nice‑to‑Have
- Cloud certifications (Azure AI Engineer / AWS ML Specialty)
- Experience with responsible AI frameworks and enterprise governance
- Industry experience (finance, healthcare, retail, telecom, etc.)
Why Join Us?
- Opportunity to shape and scale our AI ecosystem from the ground up
- Lead high‑impact AI initiatives across the enterprise
- Work with cutting‑edge technologies in a collaborative innovation‑focused culture