Generative AI Architect

Company Description

ITSolutionWala-ITSWTECHOPS SOLUTIONS PVT. LTD. is a revolutionary support and service company specializing in Infrastructure, Cloud, DevOps, and SRE solutions for resilience and scalability. We offer personalized and customized delivery strategies, ensuring full transparency and integrity with Employee Contracts and NDAs.

Job Title: Generative AI Architect

Location: (Noida ,Hyderabad ,Pune Bangalore Chennai ) 1 Time visit

Experience : 7 Years Experience Required: 10+ years (including 3 years in GenAI/LLMs)

Shift : IST

About the Role:

We are seeking a highly skilled Generative AI Architect to lead the design, development, and deployment of cutting-edge GenAI solutions across enterprise-grade applications. This role requires deep expertise in LLMs, prompt engineering, and scalable AI system architecture, combined with hands-on experience in MLOps, cloud, and data engineering.

Key Responsibilities:

● Design and implement scalable, secure GenAI solutions using large language models (LLMs) such as GPT, Claude, LLaMA, or Mistral.

● Architect Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain, LlamaIndex, Weaviate, FAISS, or ElasticSearch.

● Lead prompt engineering and evaluation frameworks for accuracy, safety, and contextual relevance.

● Collaborate with product, engineering, and data teams to integrate GenAI into existing applications and workflows.

● Build reusable GenAI modules (function calling, summarization, Q&A bots, document chat, etc.).

● Leverage cloud-native platforms (AWS Bedrock, Azure OpenAI, Vertex AI) to deploy and optimize GenAI workloads.

● Ensure robust monitoring, logging, and observability across GenAI deployments (Grafana, OpenTelemetry, Prometheus).

● Apply MLOps practices for CI/CD of AI pipelines, model versioning, validation, and rollback.

● Research and prototype emerging trends in GenAI including multi-agent systems, autonomous agents, and fine-tuning.

● Implement security best practices, data governance, and compliance protocols (PII masking, encryption, audit logs).

Required Skills & Experience:

● 8+ years of overall experience in AI/ML, with at least 2–3 years focused on LLMs / GenAI.

● Strong programming skills in Python, with frameworks like Transformers (Hugging Face), LangChain, or OpenAI SDKs.

● Experience with Vector Databases (e.g., Pinecone, Weaviate, FAISS, Qdrant).

● Proficiency in cloud platforms: AWS (SageMaker, Bedrock), Azure (OpenAI), GCP (Vertex AI).

● Experience in designing and deploying RAG pipelines, summarization engines, and chat-based apps.

● Familiarity with function calling, tool usage, agents, and LLM orchestration frameworks (LangGraph, AutoGen, CrewAI).

● Understanding of MLOps tools: MLflow, Airflow, Docker, Kubernetes, FastAPI.

● Exposure to prompt injection mitigation, hallucination control, and LLMOps.

● Ability to evaluate GenAI systems using metrics like BERTScore, BLEU, GPTScore.

● Strong communication and documentation skills; ability to lead architecture discussions and mentor engineering teams.

Preferred (Nice to Have):

● Experience with fine-tuning open-source LLMs (LLaMA, Mistral, Falcon) using LoRA or QLoRA.

● Knowledge of multi-modal AI (text-image, voice assistants).

● Familiarity with domain-specific LLMs in Healthcare, BFSI, Legal, or EdTech.

● Published work, patents, or open-source contributions in GenAI.