Lead Gen AI Engineer

Technical Lead Generative AI

Experience: 67 Years

Location: Hyderabad

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