AI Architect

About US:-

We turn customer challenges into growth opportunities.

Material is a global strategy partner to the worlds most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.

We use deep human insights design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve.

Srijan a Material company is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners.Be a part of an Awesome Tribe

Job Description:-

We are looking for an AI Architect with 8 years of experience in AI/ML Data Science and MLOps to lead the design and delivery of enterprise-grade AI/GenAI platforms. This role will own architecture for LLM-powered assistants RAG systems agentic workflows model serving evaluation pipelines and decision-intelligence applications on modern cloud platforms.

Key Responsibilities:-

• Architect end-to-end AI systems across data models retrieval orchestrationserving evaluation and monitoring
• Design and productionize LLM/GenAI solutions including RAG multi-agent systems tool use memory and workflow orchestration
• Define architecture for model training/fine-tuning inference prompt/system design guardrails and AI safety
• Establish MLOps standards for CI/CD experiment tracking model/version management observability evaluation and cost-performance optimization
• Lead integration of Databricks vector search document pipelines APIs orchestration frameworks and evaluation frameworks
• Translate ambiguous business problems into scalable AI solutions and guide delivery from PoC to production
• Mentor teams across AI engineering data science and platform engineering

Required Skills:-

• 8 years in AI/ML architecture data science or MLOps
• Strong hands-on experience with LLMs RAG agents prompt/system design and AI evaluation
• Experience building production AI systems with model deployment monitoring guardrails and observability
• Strong understanding of ML pipelines feature/data workflows vector retrieval and inference architectures
• Ability to communicate complex AI systems clearly to technical and non-technical stakeholders

Preferred:-

• Experience with Databricks MLflow Fivetran Jira vector databases and AI governan
• Background in marketing analytics decision intelligence or value-at-stake use cases