AI Data Architect

Responsibilities

· Design and deploy AI-powered applications and enterprise solutions using Python, JavaScript, AWS, and Databricks.

· Work directly with customer engineering teams to understand business requirements and deliver solutions in real time.

· Translate business challenges into scalable technical architectures leveraging major cloud platforms.

· Build intelligent workflows and applications using Generative AI, LLMs, LangChain, RAG, and AI agents.

· Develop data-driven backend solutions using Databricks, Apache Spark, and SQL.

· Build full-stack applications, APIs, and microservices using React, Node.js, FastAPI, or Django.

· Independently navigate technical ambiguity and drive solutions to completion.

· Communicate project progress effectively to technical and non-technical stakeholders.

Requirements

· Strong professional experience in AI engineering, solution architecture, or full-stack development.

· Hands-on programming expertise in Python or JavaScript/TypeScript.

· Proven experience in customer-facing engineering roles, such as a Forward Deployed Engineer or Solutions Engineer.

· Solid understanding of software architecture, APIs, microservices, and system integration.

· Experience with cloud platforms, particularly AWS (Bedrock, SageMaker) and cloud-native deployments.

· Familiarity with modern AI frameworks including LLMs, LangChain, RAG, and AI agents.

· Experience with data platforms like Databricks, Apache Spark, and SQL.

· Excellent communication skills and the ability to work independently in ambiguous environments.