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Abacus Consulting
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AI Pre-Sales Consultant Abacus Consulting | Career Page

AI Pre-Sales Consultant

Job Description

Position Overview

Abacus is seeking a highly consultative and technically strong AI Pre-Sales Consultant to drive AI-led transformation engagements across North America, the Caribbean, and LATAM. This role will anchor Abacus AI-Nexus and Agentic AI positioning, working closely with clients to design scalable, API-enabled, GCP-powered AI solutions across industries including Telco, Banking, Public Sector, and Enterprise Digital Platforms.

Key Responsibilities

  • - Lead AI maturity assessments and discovery workshops.
  • - Define AI transformation roadmaps aligned to measurable business value.
  • - Architect AI solutions using Vertex AI, Gemini, BigQuery, Apigee, Cloud Run, and GKE.
  • - Design RAG architectures, vector database integrations, and LLM-based systems.
  • - Lead POCs from concept to executive-level demonstrations.
  • - Develop AI governance and Policy-as-Code frameworks.
  • - Lead technical RFP responses including architecture, effort estimation, and commercial inputs.
  • - Engage C-level stakeholders and represent Abacus in regional AI forums.

Required Experience

  • - 7+ years in Pre-Sales, AI Architecture, or Solution Consulting.
  • - Hands-on experience with GCP AI stack (Vertex AI mandatory).
  • - Experience with LLM integrations and RAG architectures.
  • - Strong understanding of API-led architecture and data platforms.
  • - Experience in Telco or Banking preferred.

Preferred Certifications

  • - Google Professional Machine Learning Engineer.
  • - Google Cloud Professional Architect.
  • - TOGAF (Nice to have).

Location & Travel

Must be based in North America or LATAM region with flexibility to travel 20–40% across North America, Caribbean, and LATAM.

Required Skills

Data Flexibility Database Gcp Consulting Travel Workshops Architecture Banking Machine Learning Design Business

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Skills

  • GCP
  • Vertex AI
  • Gemini
  • BigQuery
  • Apigee
  • Cloud Run
  • GKE
  • Retrieval-Augmented Generation
  • Vector Databases
  • LLM
  • Machine Learning

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