Senior AI Architect

Salary: $15,000 – $20,000 per month

About the role

We are a global management consulting and technology advisory firm that helps large enterprises solve strategic, digital, data, AI, and transformation challenges across industries. We are seeking an Enterprise Architect to define target-state architectures and transformation roadmaps across AI, GenAI, cloud, data, applications, and enterprise platforms.

Key responsibilities

• Define target-state architectures and transformation roadmaps across AI, GenAI, cloud, data, applications, and enterprise platforms.

• Design scalable solution, application, data, integration, cloud, and AI architectures.

• Assess existing technology landscapes and recommend modernization strategies.

• Lead architecture design, feasibility studies, proof-of-concepts, and implementation planning.

• Design and evaluate GenAI solutions including LLMs, RAG, AI agents, orchestration frameworks, AI infrastructure, security, and governance.

• Review technical designs and engineering approaches to ensure scalability, security, reliability, and maintainability.

• Guide the transition from AI pilots and proofs-of-concept to enterprise-scale deployments.

• Facilitate stakeholder workshops, define requirements, and align business and technical teams.

• Lead architecture workstreams within transformation and implementation programs.

• Present technical recommendations to senior executives and business leaders.

About you

• Bachelor's degree in Computer Science, Engineering, Information Systems, Information Technology, or a related discipline.

• At least 8 years of experience in enterprise architecture, solution architecture, technology consulting, or technology leadership roles.

• Strong expertise in AI, Cloud, Data, Solution, or Application Architecture.

• Hands-on experience designing AI/GenAI solutions involving LLMs, RAG, AI agents, orchestration frameworks, vector databases, semantic search, MLOps/LLMOps, AI APIs, microservices, and AI governance/security.

• Hands-on familiarity with GenAI tools such as ChatGPT, Claude, Gemini, GitHub Copilot, or similar platforms.

• Strong knowledge of modern data platforms, including Data Lakes, Data Warehouses, Lakehouses, data pipelines, and analytics platforms.

• Experience with AWS, Microsoft Azure, and/or Google Cloud.

• Solid understanding of APIs, microservices, event-driven architectures, and distributed systems.

• Exposure to application modernization, DevOps, CI/CD, containers, and modern software engineering practices.

• Experience conducting architecture reviews, technology assessments, and transformation roadmap development.

About us

We are a global management consulting and technology advisory firm that helps large enterprises solve strategic, digital, data, AI, and transformation challenges across industries.