Description

You will design and implement AI-driven architecture, owning end-to-end solution designs, rapid prototyping, and cross-functional alignment.

This role is on-site.

Responsibilities

• Assemble architecture designs by producing clear solution artifacts, reference architectures, diagrams, and architecture decision records.
• Design and integrate AI, GenAI, and machine-learning components into solutions, advising on patterns and tooling trade-offs.
• Build rapid proofs of concept and working prototypes to validate architecture decisions and accelerate stakeholder alignment.
• Partner with engineering, product, and business teams to align architecture with delivery goals and non-functional requirements.
• Document and communicate designs clearly to technical and non-technical audiences while upholding enterprise standards.

Required Skills

• Hands-on experience building, integrating, or architecting AI/GenAI/ML solutions, including LLMs and RAG.
• Proficiency in Python and/or Java for rapid prototyping, scripting, and notebook-based experimentation.
• Experience with at least one major cloud provider (AWS, Azure, or GCP) and containers/orchestration (Docker, Kubernetes).
• Strong understanding of microservices, event-driven design, and API-led integration (REST, GraphQL).
• Knowledge of data modeling, relational and NoSQL databases, data lakes/warehouses, and ETL/ELT pipelines.
• Proficiency with CI/CD, infrastructure as code (e.g., Terraform), Git-based version control, and automated testing.
• Familiarity with messaging and streaming technologies such as Kafka.
• Ability to drive quick prototypes and work across ambiguity to deliver tangible outcomes.

Preferred Skills

• Experience with embeddings, vector stores, and agentic/prompt-engineering patterns.
• Proficiency in architecture tooling like C4, UML, or ArchiMate for modeling and diagramming.

Key Skills

Education

Bachelor's degree