Generative al architect

Job Description : Generative Al Architect
Location : Pune / Kolkata / Bangalore/ Indore
NP : Immediate Joiner OR 30 Max
Exp : 10 + Years
Generative Al Architect Job Description
Overview
We are seeking an exceptionally skilled and experienced Generative Al Architect to lead the design, development, and deployment of cutting-edge Generative Al solutions. This role requires a blend of deep machine learning and natural language processing expertise with hands-on architectural experience in building scalable, production-grade LLM applications. The ideal candidate will be a technical leader who can drive innovation, define best practices, and mentor engineering teams in the evolving Gen AI space.
Key Responsibilities
- Design and lead the implementation of end-to-end, high-performance Generative Al architectures, focusing on scalability, cost-efficiency, and resilience.
- Architect and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise-specific knowledge bases, including vector store integration, indexing, and retrieval optimization.
- Design and implement complex, multi-step Agentic Al systems and sophisticated conversational flows using frameworks like Lang Chain and Lang Graph.
- Establish robust MLOps and Gen AI-Ops practices, integrating observability and evaluation tools such as Lang Smith, Phoenix, or Langfuse to monitor model performance, latency, cost, and drift in production.
- Define and implement LLM evaluation methodologies, utilizing tools like Ragas to quantitatively assess the quality (e.g., faithfulness, answer relevance, context adherence) of RAG and Agentic Al applications.
- Continuously evaluate new LLMs, foundation models, open-source frameworks, and emerging Gen AI technologies to recommend and integrate the best-fit solutions.
- Work closely with Data Scientists, ML Engineers, and business stakeholders to translate complex business problems into technical Al/ML roadmaps and provide technical guidance to development teams.
- Leverage a strong background in ML/NLP to advise on and implement techniques for prompt engineering, model fine-tuning (e.g., Lo RA, QLo RA), and advanced text processing.
- Be part of Technical Presales, Proposals and RFP response teams.
Qualifications
- BE/BTech with 10-15 years of progressive experience in software engineering, data science, or ML engineering roles.
Minimum of 5 years of dedicated experience in developing and deploying Artificial Intelligence and Machine Learning solutions.
Mandatory Technical Skills
- Proven experience architecting and shipping production-grade Gen AI applications.
- Deep, hands-on expertise in designing and optimizing Retrieval-Augmented Generation (RAG)
systems.
- Expert-level proficiency with Lang Chain and Lang Graph for building complex LLM chains, tools, and stateful agent workflows.
- Demonstrated experience in building and deploying multi-tool, reasoning-based Agentic Al
systems.
- Hands-on experience with Gen Al-specific observability and evaluation platforms like
Lang Smith, Phoenix, or Langfuse.
- Practical knowledge and experience using LLM evaluation frameworks, specifically Ragas, for quality assessment.
- High proficiency in Python and relevant data science libraries (e.g., Py Torch, Tensor Flow, Hugging Face).
- Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools (e.g., Kubernetes, Docker) for scalable model deployment.
Soft Skills
- Excellent written and verbal communication skills, with the ability to clearly articulate complex technical concepts to both technical and non-technical audiences.
- Demonstrated ability to lead technical initiatives, influence architectural decisions, and mentor junior and senior engineers.