AI Architect

As an AI Architect, you will serve as the bridge between business strategy and AI technology, helping business stakeholders identify, shape, and prioritize AI opportunities that deliver measurable outcomes.

You will partner closely with business leaders, product owners, and technology teams to translate business challenges into scalable AI, Machine Learning, and Generative AI solutions. Role Duties & Responsibilities: Engaging senior business leaders to uncover opportunities.

Advising stakeholders on AI strategy and adoption. Building business cases and demonstrating value realization.

Responsible for solution envisioning, architecture design, and adoption strategy Design end-to-end AI, ML, and Generative AI solution architectures that are scalable, secure, and aligned with enterprise standards. Define architecture patterns, reference designs, and reusable AI capabilities for enterprise-wide adoption.

Lead solution design for emerging AI technologies including Agentic AI, RAG architectures, MCP servers, Model APIs, and AI orchestration frameworks. Define best practices for AI solution deployment, MLOps, LLMOps, monitoring, and lifecycle management.

Drive standardization of AI design patterns, architecture principles, and development methodologies. Competencies & Personal Traits Strong understanding of AI, Machine Learning, Generative AI, Large Language Models (LLMs), NLP, and Agentic AI frameworks.

Experience designing AI solution architectures using technologies such as LangChain, LangGraph, RAG frameworks, MCP servers, and AI orchestration platforms. Knowledge of cloud-based AI platforms across Azure and GCP Understanding of MLOps, LLMOps, model governance, observability, and responsible AI practices.

Familiarity with data architecture, integration patterns, APIs, and scalable enterprise platforms. Experience developing reusable services and AI enablement capabilities is advantageous. Experience with Databricks, MLFlow, and modern AI/ML ecosystems is a plus. Worki