GenAI Solution Architect VDart Software Services

10.0 - 17.0 years

37 - 50 Lacs

bengaluru

Remote

About the Role We are seeking an experienced GenAI Solution Architect with deep expertise in designing and delivering large-scale AI/GenAI systems . In this leadership role, you will drive the architecture and implementation of enterprise-grade AI solutions , focusing on Large Language Models (LLMs) , AI frameworks , and MLOps practices . This is a high-impact position requiring both strategic vision and hands-on technical expertise . Key Responsibilities Architect AI Solutions: Design and build scalable, efficient, and secure GenAI systems leveraging advanced ML frameworks and LLMs. Framework Implementation: Lead the development of complex GenAI models using Python, TensorFlow, PyTorch , and related technologies. Model Optimization: Oversee optimization for performance, scalability, and cost-efficiency across training and inference pipelines. API Development: Guide the design of high-performance APIs (FastAPI or similar) for seamless integration with enterprise applications. MLOps Integration: Implement automated MLOps pipelines for deployment, monitoring, and scaling of models in production. CI/CD & Automation: Build automated CI/CD workflows ensuring smooth and frequent production releases. DevOps Practices: Deploy and manage AI models in production using Docker, Kubernetes, Jenkins, Terraform . Security & Compliance: Ensure systems meet data security, privacy, and compliance standards. Leadership & Mentorship: Provide technical guidance, mentor engineering teams, and make key architectural decisions. Cross-Team Collaboration: Partner with Data Science, Data Engineering, DevOps, and Product teams to deliver business-aligned solutions. Key Requirements Experience: 10+ years overall IT experience, with proven expertise in AI/GenAI architecture & solutioning . Programming Skills: Strong proficiency in Python, Pandas, NumPy . AI/ML Frameworks: Hands-on experience with TensorFlow, PyTorch , or similar. API Development: Proven expertise in FastAPI or equivalent frameworks. Software Engineering: Strong grounding in coding best practices, version control ( Git ), automated testing, and CI/CD. MLOps: Deep knowledge of model deployment, monitoring, scaling, and optimization workflows. DevOps Tools: Experience with Docker, Kubernetes, Jenkins, Terraform for automation and infrastructure management. Leadership: Demonstrated ability to lead teams, mentor engineers, and drive architectural strategy.

Posted 1 week ago

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GEN AI Engineer Dimiour

5.0 - 10.0 years

20 - 35 Lacs

Bengaluru

Remote

We are seeking seasoned GenAI Engineers with 5+ years of experience to design, deploy, and scale AI solutions. Candidates must be proficient in Python , with hands-on expertise in LLMs , RAG (Retrieval-Augmented Generation) , and frameworks like LangChain and Hugging Face . Experience working with Agentic AI or agent-based orchestration systems is highly desirable. Strong understanding of Computer Vision , including model development using OpenCV, YOLO, or similar libraries. Expertise in data manipulation libraries such as Pandas and NumPy is essential. Solid experience in FastAPI for building scalable APIs. Must have a good grasp of MLOps and ML Engineering , including model lifecycle management. Proven experience with DevOps tools like Docker, Kubernetes, Jenkins, and Terraform. Experience with CI/CD pipelines , automated testing, and Git version control is required. Ability to deploy AI models across cloud environments (AWS/GCP/Azure). Knowledge of transformer models, vector databases (e.g., FAISS, Pinecone), and prompt engineering. Hands-on experience with fine-tuning and optimizing large language models. Ability to work cross-functionally with data scientists, product managers, and software engineers. Strong communication skills with a problem-solving mindset. A passion for staying ahead in the rapidly evolving GenAI landscape.

Posted 3 months ago

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