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.
- Robust 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- [email protected]

📌 Lead AI Engineer (Mumbai)
🏢 Everforth Quinnox
📍 Mumbai