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 and 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

[html_block id="189701"]