Lead AI Engineer

IMMEDIATE OPENINGS

Role: Senior AI (Generative AI)

Experience: 15+ Years

Location: Bangalore & Mumbai

Work Mode: Hybrid

Shift: 2nd (2pm to 11pm)

Job Description Senior AI (Generative AI)

Role Summary: We are seeking an experienced and visionary Senior AI Architect to lead the architecture, design, and delivery of enterprise-scale AI and Generative AI solutions. The ideal candidate should have strong experience in enterprise application architecture, AI solution design, client consulting, and technical leadership, with a proven track record of delivering production-grade AI platforms.

The role requires deep expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), AI governance, enterprise integrations, cloud-native architectures, and AI solution delivery. The candidate will work closely with customers, business stakeholders, product teams, and engineering teams to define AI roadmaps and build scalable, secure, and high-performing AI solutions.

Key Responsibilities

AI Strategy & Architecture

• Define the overall AI and Generative AI architecture for enterprise-scale solutions.
• Design scalable, secure, and production-ready AI platforms leveraging modern AI technologies.
• Define AI solution roadmaps, reference architectures, reusable frameworks, and best practices.
• Evaluate emerging AI technologies and recommend adoption strategies.

Solution Design & Delivery

• Architect AI solutions using LLMs, Agentic AI, RAG, Knowledge Graphs, and Multi-Agent frameworks.
• Design enterprise AI workflows involving reasoning engines, AI agents, prompt orchestration, and workflow automation.
• Design scalable data ingestion, vectorization, indexing, grounding, and retrieval architectures.
• Lead architecture reviews and ensure adherence to enterprise architecture standards.
• Guide engineering teams during implementation and deployment.

AI Engineering

• Design and implement enterprise AI applications using GPT, Gemini, Claude, Llama, Mistral, and other foundation models.
• Architect multi-model AI solutions with model routing and Mixture of Experts (MoE).
• Design AI observability, evaluation, prompt management, caching, and optimization strategies.
• Drive AI model tuning, grounding improvements, hallucination reduction, and response optimization.

Cloud & Platform Architecture

• Design cloud-native AI platforms on Azure, AWS, or Google Cloud.
• Architect scalable APIs, microservices, serverless applications, and event-driven AI solutions.
• Design secure deployment architectures using Kubernetes, Docker, and CI/CD pipelines.
• Define monitoring, logging, security, governance, and compliance standards.

Customer Engagement & Leadership

• Engage with customers to understand business problems and translate them into AI solutions.
• Lead solution workshops, architecture discussions, technical reviews, and executive presentations.
• Support pre-sales activities including solution proposals, estimations, SOW preparation, and technical presentations.
• Mentor architects, technical leads, and engineering teams on AI technologies and best practices.
• Collaborate with cross-functional teams including Product, Engineering, DevOps, Data Engineering, Security, and Business stakeholders.

Required Skills

Experience

• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
• 15+ years of experience in enterprise software development and architecture.
• Minimum 5+ years of experience in AI, Machine Learning, and Generative AI solution architecture.
• Proven experience designing and deploying enterprise-scale AI solutions into Production.

AI & Generative AI

• Deep expertise in Large Language Models (LLMs).
• Hands-on experience with GPT, Gemini, Claude, Llama, Mistral, or similar foundation models.
• Strong expertise in:
• Retrieval-Augmented Generation (RAG)
• Agentic AI
• AI Agents
• Prompt Engineering
• Multi-Agent Systems
• Fine-Tuning
• Model Evaluation
• Hallucination Management
• AI Guardrails
• AI Observability
• Context Engineering
• Semantic Search
• Knowledge Graphs
• Multi-stage Reasoning
• Mixture of Experts (MoE)

AI Frameworks & Tools

• LangChain
• LangGraph
• LlamaIndex
• Semantic Kernel
• CrewAI / AutoGen (preferred)
• Azure AI Foundry
• Azure AI Search
• Azure OpenAI
• NVIDIA NeMo Guardrails
• Hugging Face

Programming

• Python
• FastAPI / Flask
• REST APIs
• SQL
• Text-to-SQL
• Vector Databases (Pinecone, FAISS, ChromaDB, Azure AI Search, Weaviate, Milvus)

Cloud & DevOps

• Azure / AWS or Google Cloud
• Kubernetes
• Docker
• CI/CD Pipelines
• GitHub Actions / Azure DevOps
• Terraform (preferred)

Architecture

• Microservices
• Event-Driven Architecture
• API Management
• Enterprise Integration
• High Availability
• Scalability
• Security
• Identity Management
• Performance Optimization

Leadership

• Excellent client-facing and consulting skills.
• Strong stakeholder management and communication.
• Experience leading distributed onsite-offshore delivery teams.
• Strong problem-solving and decision-making capabilities.
• Experience mentoring architects and technical teams.

Nice-to-Have Skills

• Experience with AI governance frameworks and Responsible AI.
• Experience building Agentic AI platforms.
• Experience with Model Context Protocol (MCP).
• Experience with Graph RAG and Knowledge Graphs.
• Experience with Reinforcement Learning.
• Experience with TensorFlow or PyTorch.
• Experience with AI benchmarking and model evaluation frameworks.
• Experience in enterprise domains such as Manufacturing, Healthcare, Retail, Telecom, or Financial Services.
• Experience contributing to AI accelerators, reusable frameworks, or open-source AI projects.

Thankyou

Aswini V- HR

QUINNOX

Mail.id- Aswiniv@quinnox.com