Job Title

Role SummaryAs the Gen AI Lead, you will spearhead our organization’s Generative AI strategy, moving beyond simple API integrations to build sophisticated, production-grade AI systems. You will lead a cross-functional team of engineers and data scientists to architect Agentic AI frameworks, optimize RAG (Retrieval-Augmented Generation) pipelines, and ensure our AI solutions are ethical, scalable, and secure.Key ResponsibilitiesArchitecture & Design: Lead the design of multi-agent systems using frameworks like LangChain, AutoGen, or Semantic Kernel.Model Engineering: Oversee the fine-tuning of Large Language Models (LLMs) and Small Language Models (SLMs) using techniques like LoRA/QLoRA for domain-specific accuracy.LLMOps & Scalability: Establish robust deployment pipelines (CI/CD for AI), ensuring model monitoring, versioning, and cost-efficient scaling in the cloud (AWS/Azure/GCP).Governance & Ethics: Implement /"Responsible AI/" guardrails to mitigate hallucinations, bias, and data leakage, ensuring compliance with emerging AI regulations.Cross-Functional Leadership: Act as the primary technical SME for executive stakeholders, translating /"AI hype/" into measurable ROI and business outcomes.Required Technical SkillsCore AI: Deep expertise in Transformer architectures, Diffusion models, and Vector Databases (e.g., Pinecone, Chroma, Milvus).Programming: Mastery of Python and frameworks like PyTorch or TensorFlow.Agentic Frameworks: Hands-on experience building autonomous agents and complex multi-step workflows.Data & RAG: Expert-level knowledge of chunking strategies, embedding models, and hybrid search techniques.Cloud & Infrastructure: Proficiency with Kubernetes, Docker, and AI-specific cloud services (e.g., Azure AI Foundry, AWS Bedrock, Google Vertex AI).Experience & QualificationsExperience: 8+ years in AI/ML, with at least 2 years specifically focused on Generative AI initiatives.Leadership: Proven track record of managing high-performing technical teams and delivering complex software products at scale.Communication: Ability to explain /"black box/" AI concepts to non-technical partners with clarity and authority.Nice-to-HavesContributions to open-source GenAI projects or published research in the field.Experience with Multi-modal AI (Text + Image/Video/Audio).Certifications such as AWS Certified Machine Learning – Specialty or Microsoft Azure AI Engineer Associate.