Artificial Intelligence Architect

Job Title: AI Architect Location: Bangalore/Hyderabad/Chennai/Pune Experience: 9 - 15 Years Interview Mode: Virtual Work Timings: 1:00 PM 10:00 PM (IST) About the Role We are seeking a highly skilled and visionary AI Architect to lead the design, development, and deployment of cutting-edge Artificial Intelligence and Machine Learning solutions. In this role, you will act as the technical cornerstone for AI initiatives, translating complex business challenges into scalable AI architectures. You will collaborate with cross-functional teams, evaluate emerging technologiesincluding Generative AIand ensure solutions are robust, secure, and aligned with enterprise goals. Key Responsibilities Architectural Leadership: Design end-to-end AI/ML architectures covering data ingestion, processing, model training, deployment, and monitoring (MLOps). Solution Strategy: Collaborate with business stakeholders and product managers to convert business needs into scalable AI/ML solutions. Technology Evaluation: Assess and implement modern AI technologies, frameworks, and foundation models (LLMs). Generative AI Integration: Lead initiatives involving Generative AI such as RAG (Retrieval-Augmented Generation), LLM fine-tuning, and prompt engineering pipelines. Team Mentorship: Guide and mentor data scientists, ML engineers, and developers. Governance & Ethics: Establish best practices for AI governance, including data privacy, explainability, bias mitigation, and security. Deployment & Scaling: Work with Cloud and DevOps teams to build scalable, high-performance, and cost-optimized AI systems. Required Skills & Qualifications Core AI/ML & Generative AI Strong expertise in machine learning, deep learning, NLP, and Generative AI Experience with LLMs, LangChain, LlamaIndex, and vector databases Programming & Frameworks Proficiency in Python Hands-on experience with PyTorch, TensorFlow, or Keras Cloud Platforms Experience designing solutions on AWS, Azure, or GCP Familiarity with: AWS SageMaker / Bedrock Azure ML / OpenAI Google Vertex AI Data Architecture Strong knowledge of data engineering and distributed systems Experience with Spark, Hadoop, Snowflake, Databricks MLOps Experience with model lifecycle management and CI/CD pipelines Tools: MLflow, Kubeflow, Docker, Kubernetes System Design Expertise in building scalable microservices and APIs for ML models Soft Skills Excellent communication and stakeholder management skills Ability to explain complex AI concepts to non-technical audiences Experience Requirements Overall Experience: 9+ years in IT/Technology AI/ML Experience: 4+ years in designing and deploying ML models in production Leadership Experience: 2+ years in technical leadership or architecture roles Education Bachelors or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field Intersted please share resumes to meenakshi.mp@fornaxtech.com 9480472871