Solutions Architect - Remote (Permanent)

Experience: 8.00 + years Salary : INR 4000000-5000000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Lyzr) (*Problem Solving Attitude, Communication Skill, Stakeholder Management, Ownership, AI agent workflows, LLMs, rag, NLP, Multi-modal AI We are seeking an experienced and innovative AI Solutions Architect to join our team. This role combines deep technical expertise in machine learning, large language models (LLMs), and NLP with consultative skills to help design, guide, and implement cutting-edge AI agents and workflows . You will play a critical role in determining which AI agents should be built, how data should be handled, and how models should be integrated and optimized to deliver intelligent and reliable outcomes. Define capabilities, intents, and interaction flows of AI agents to meet business goals. Define how models will interact with different data modalities (text, audio, video, structured data). Evaluate and benchmark model performance and retraining needs. Data Enrichment & Intelligence: Advise on how to configure, enrich, and pre-process data (structured/unstructured) for maximum model performance. Ensure data pipelines are designed for continuous learning and improvement. Solution Implementation & Code Ownership: Collaborate with developers to build scalable AI services and interfaces. Write clean, efficient, and modular code to integrate AI components. Translate complex AI concepts into actionable recommendations for non-technical stakeholders. Required Skills & Experience Core AI/ML Expertise (34 years): Strong background in machine learning and deep learning, including model training and evaluation. Experience developing ML-powered enterprise applications. NLP & Data Intelligence (23 years) Experience with structured and unstructured data feature engineering. LLM & Agent Ecosystem (12 years) Solid understanding of LLM architecture, prompt engineering, and RAG (Retrieval-Augmented Generation) frameworks. Exposure to multi-modal agent delivery (text, audio, video). Experience with cloud-based ML platforms (AWS/GCP/Azure). Understanding of vector databases, embeddings, and context-aware retrieval systems. Step 3: Increase your chances to get shortlisted & meet the client for the Interview! Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. Experience: 8.00 + years Salary : INR 4000000-5000000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Lyzr) (*Problem Solving Attitude, Communication Skill, Stakeholder Management, Ownership, AI agent workflows, LLMs, rag, NLP, Multi-modal AI We are seeking an experienced and innovative AI Solutions Architect to join our team. This role combines deep technical expertise in machine learning, large language models (LLMs), and NLP with consultative skills to help design, guide, and implement cutting-edge AI agents and workflows . You will play a critical role in determining which AI agents should be built, how data should be handled, and how models should be integrated and optimized to deliver intelligent and reliable outcomes. Define capabilities, intents, and interaction flows of AI agents to meet business goals. Define how models will interact with different data modalities (text, audio, video, structured data). Evaluate and benchmark model performance and retraining needs. Data Enrichment & Intelligence: Advise on how to configure, enrich, and pre-process data (structured/unstructured) for maximum model performance. Ensure data pipelines are designed for continuous learning and improvement. Solution Implementation & Code Ownership: Collaborate with developers to build scalable AI services and interfaces. Write clean, efficient, and modular code to integrate AI components. Translate complex AI concepts into actionable recommendations for non-technical stakeholders. Required Skills & Experience Core AI/ML Expertise (34 years): Strong background in machine learning and deep learning, including model training and evaluation. Experience developing ML-powered enterprise applications. NLP & Data Intelligence (23 years) Experience with structured and unstructured data feature engineering. LLM & Agent Ecosystem (12 years) Solid understanding of LLM architecture, prompt engineering, and RAG (Retrieval-Augmented Generation) frameworks. Exposure to multi-modal agent delivery (text, audio, video). Experience with cloud-based ML platform