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.