Technical Lead- Generative AI / AI-ML Engineer

Technical Lead / Architect Generative AI

Experience: 7+ 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 mitigatio