Openings For AI Architect

Tekskills; Santa Rosa; Presencial; ARS 5.447.000 - 9.337.000; Jornada completa

Descripción de la vacante

You will provide technical leadership across multiple initiatives, mentor delivery teams, and collaborate with enterprise architecture to align with strategic roadmaps.

Responsabilidades

• Design end-to-end AI, ML, GenAI architectures aligned to business outcomes.
• Define solution blueprints covering data ingestion, model lifecycle, orchestration, deployment, monitoring, and governance.
• Create architecture patterns and reusable frameworks that accelerate AI delivery.
• Evaluate and select appropriate AI technologies, platforms, and tooling.
• Provide architecture leadership across multiple initiatives and delivery teams.
• Guide engineering teams on architectural best practices and AI adoption.
• Support architectural reviews, design governance, and technology decisions.
• Collaborate with Enterprise Architecture and platform teams to align with strategic roadmaps.
• Design architectures using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, orchestration frameworks, and agent-based systems.
• Define patterns for prompt management, evaluation, observability, and AI safety controls.
• Support the adoption of secure and governed GenAI capabilities across the organisation.

Descripción del empleo

Hi

We are looking for AI Architect

Work Location: Pan India

Work mode: WFO/Hybrid

Experience Range:4+ years

Mandatory: Experience in working for Financial Crime (domain)

Job Description

AI Solution Architecture

• Design end-to-end AI, ML, GenAI, and Agentic AI architectures aligned to business outcomes.
• Define solution blueprints covering data ingestion, model lifecycle, orchestration, deployment, monitoring, and governance.
• Create architecture patterns and reusable frameworks that accelerate AI delivery.
• Evaluate and select appropriate AI technologies, platforms, and tooling.

Technical Leadership

• Provide architecture leadership across multiple initiatives and delivery teams.
• Guide engineering teams on architectural best practices and AI adoption.
• Support architectural reviews, design governance, and technology decisions.
• Collaborate with Enterprise Architecture and platform teams to align with strategic roadmaps.

Generative AI & Agentic AI

• Design architectures using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, orchestration frameworks, and agent-based systems.
• Define patterns for prompt management, evaluation, observability, and AI safety controls.

Support the adoption of secure and governed GenAI capabilities across the organisation.