Gen AI Architect with ML

Job Description :

• We are seeking a highly skilled Solution Architect with over 7 years of experience in engineering and machine learning, including a minimum of 3 years in architecting and scaling production-grade AI systems.
• The ideal candidate will have deep proficiency in cloud AI platforms and a strong understanding of generative AI architecture.
• Responsibilities Design and implement scalable AI solutions using cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Architect and optimize generative AI systems, focusing on RAG, agentic workflows, and LLM orchestration.
• Oversee model serving and inference frameworks to ensure high performance and reliability.
• Manage AI data pipelines, feature stores, and vector databases to support data-driven decision-making.
• Implement MLOps and LLMOps practices for model tracking, versioning, evaluation, and monitoring.
• Utilize DevOps practices and Infrastructure as Code (IaC) to streamline AI infrastructure deployment.
• Collaborate with cross-functional teams to deliver innovative AI solutions for B2B clients.
• Mandatory Skills 7+ years of experience in engineering/ML with 3+ years as a Solution Architect.
• Deep proficiency in AWS (SageMaker), Azure (OpenAI), or Google Cloud Platform (Vertex AI).
• Expertise in generative AI architecture, including RAG and LLM orchestration (Lang Chain/LlamaIndex).
• Strong knowledge of scalable inference and serving frameworks (vLLM, Triton, TGI).
• Experience with AI data pipelines, feature stores, and vector databases (Pinecone, Milvus).
• Proficiency in MLOps & LLMOps tools (MLflow, Lang Smith).
• Hands-on experience with containerization (Kubernetes, Docker) and terraform.
• Proven experience as a Solution Architect in a B2B environment.
• Preferred Skills Experience with additional cloud platforms and AI tools.
• Strong communication and leadership skills.
• Ability to work in a fast-paced, collaborative environment.
• Qualifications bachelor’s or master’s degree in computer science, Engineering, or a related field.
• Relevant certifications in cloud platforms or AI technologies are a plus.