Technical Lead/Architect (Gen AI)

Role Overview We are seeking a highly experienced AI Technical Lead / Architect with deep expertise in Artificial Intelligence, Generative AI, and Agentic AI systems. This role requires strong hands-on technical mastery combined with strategic leadership capability. The ideal candidate will architect and lead the development of scalable, production-grade AI platforms leveraging LLMs, RAG systems, autonomous agents, and modern AI infrastructure. This is a high-impact role requiring both advanced AI knowledge and strong engineering leadership. Key Responsibilities AI & System Architecture Design and architect enterprise-grade GenAI and Agentic AI systems Build scalable LLM-powered applications , RAG pipelines , multi-agent systems, and autonomous workflows Drive secure, reliable, and high-performance AI solution design Agentic AI & Advanced GenAI Architect and implement agent orchestration frameworks Design multi-agent collaboration systems and autonomous task execution pipelines Implement advanced prompt engineering, memory management, and reasoning chains Develop evaluation frameworks for LLM quality, hallucination mitigation, and model alignment Technical Leadership Lead end-to-end AI solution development from concept to production Mentor engineers and establish strong AI engineering practices Drive code quality, architectural reviews, and DevOps/MLOps best practices Own technical roadmap and innovation strategy for AI initiatives AI Infrastructure & MLOps Build scalable model deployment pipelines (CI/CD for AI) Optimize inference performance, latency, and cost Implement monitoring, observability, and governance for AI systems Ensure responsible AI practices, security, compliance, and data privacy Stakeholder Collaboration Translate business problems into AI-driven technical solutions Partner with product, engineering, and leadership teams Provide technical thought leadership internally and externally Required Technical Expertise Core AI & GenAI Strong hands-on experience with: LLMs (OpenAI, Anthropic, open-source models like LLaMA, Mistral) RAG architectures LangChain / LlamaIndex Vector databases (Pinecone, Weaviate, FAISS, Milvus) Experience building production-grade AI agents Advanced prompt engineering & fine-tuning techniques Experience with embeddings, evaluation frameworks, and guardrails b Engineering & Architecture Strong expertise in Python a nd AI/ML ecosystem (PyTorch, TensorFlow, Hugging Face) Experience designing distributed, scalable microservices architectures Strong API design and backend system development skills Experience with data pipelines and real-time processing systems Cloud & Infrastructure Hands-on experience with Azure / AWS / GCP Experience with containerization (Docker), orchestration (Kubernetes) Experience deploying AI workloads on cloud-native environments Understanding of GPU infrastructure and scaling strategies MLOps & DevOps CI/CD for AI systems Model monitoring, drift detection, observability tools Leadership & Soft Skills Proven experience leading AI engineering teams Strong solution architecture and system design capability Excellent problem-solving and critical thinking skills Strong communication and stakeholder management abilities Ability to balance innovation with production stability Preferred Qualifications Experience building enterprise AI platforms Experience in AI governance and Responsible AI frameworks Exposure to multi-modal AI systems (vision + text) Experience with AI security and model risk mitigation 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.