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