Generative AI Architect
- Calsoft
- 10 - 20 years
- Kolkata
- 2 months ago
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Job Description
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 GenAI 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 LangChain and LangGraph.
- Establish robust MLOps and GenAI-Ops practices, integrating observability and evaluation tools such as LangSmith, 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 GenAI 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., LoRA, QLoRA), 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 GenAI applications.
- Deep, hands-on expertise in designing and optimizing Retrieval-Augmented Generation (RAG)
systems.
- Expert-level proficiency with LangChain and LangGraph 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 GenAl-specific observability and evaluation platforms like
LangSmith, 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., PyTorch, TensorFlow, 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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical ArchitectEmployement Type: Full timeContact Details:
Company: CalsoftLocation(s): Kolkata
Keyskills: Artificial Intelligence Tensorflow Vertex Ai Techniques Langchain Ai Solutions Natural Language Processing Phoenix Framework LLM Machine Learning Pytorch Agentic Ai Prompt Engineering Langgraph Aiml Transformers Bert Openai MCP Ragas Retrieval Augmented Generation Python
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