Principal Consultant - Agentic AI & Enterprise Architecture

Ascendion; Nororiente; Presencial; COP 375.220.000 - 487.787.000; Jornada completa

Descripción de la vacante

A leading consulting firm in Colombia is looking for a Principal Consultant specializing in Agentic AI and Enterprise Architecture. The role involves leading AI transformations, architecting cloud-native solutions, and engaging with C-level stakeholders. Candidates must possess extensive experience in technology consulting with expertise in AI, cloud platforms, and enterprise architecture. Strong proficiency in Spanish is mandatory. This position offers a dynamic work environment with opportunities for strategic leadership.

Formación

• 15+ years in enterprise architecture and technology consulting.
• 5+ years leading large-scale digital transformations.
• Proven track record in establishing Centers of Excellence.

Responsabilidades

• Lead enterprise-wide AI transformations and cloud-native solutions.
• Architect human-AI collaboration frameworks.
• Conduct organizational assessments for digital transformation.

Conocimientos

Leadership

Technical consulting

AI/ML proficiency

Cloud architecture

Herramientas

AWS

Azure

GCP

Docker

Kubernetes

Terraform

Descripción del empleo

Principal Consultant - Agentic AI & Enterprise Architecture

We are seeking an exceptional Principal Consultant to lead enterprise-wide Agentic AI transformations and architect next-generation operating models. This role combines deep technical expertise in cloud-native solutions with strategic consulting capabilities to drive organizational transformation through AI-enabled delivery models.

Mandatory - for the candidate to be proficient in Spanish.

Key Responsibilities

1. Agentic AI & Operating Model Design

• Design and implement Agentic AI-powered operating models for large-scale enterprise transformations
• Architect human-AI collaboration frameworks and Digital Delivery Worker ecosystems
• Create Centers of Excellence (CoE) for AI-Native delivery practices and governance
• Define organizational structures, role definitions, and capability models for AI-augmented teams
• Establish metrics frameworks for measuring productivity in human-AI collaborative environments

2. Enterprise & Solution Architecture

• Lead enterprise architecture initiatives across complex, multi-domain organizations
• Design end-to‑end solution architectures spanning UI, backend, data platforms, and AI services
• Architect cloud-native solutions on either of AWS, Azure, and GCP with focus on scalability and resilience
• Understanding of modern data architectures including data lakes, lakehouses, real‑time streaming, and AI/ML pipelines
• Establish architectural governance, standards, and best practices across technology stacks

3. Engineering & Delivery Excellence

• Design and optimize Software Development Life Cycle (SDLC) processes for AI-Native delivery
• Architect CI/CD pipelines, DevSecOps practices, and automated quality gates
• Lead technical due diligence and solution validation for complex transformation programs
• Mentor engineering teams on modern development practices and architectural patterns
• Drive adoption of platform engineering and developer experience optimization

4. Strategic Consulting & Transformation

• Lead C‑level engagements for digital transformation and AI adoption strategies
• Conduct organizational assessments and design target state operating models
• Create business cases and ROI models for large‑scale technology transformations
• Facilitate workshops and design‑thinking sessions with senior stakeholders
• Develop transformation roadmaps with clear milestones, dependencies, and success criteria

Required Qualifications

1. Experience & Background

• 15+ years in enterprise architecture, solution design, and technology consulting
• 5+ years leading large‑scale digital transformations (500+ person organizations)
• 3+ years hands‑on experience with AI/ML platforms and Agentic AI implementations
• Proven track record establishing Centers of Excellence and operating model transformations
• Experience across Banking, Financial Services, or Technology sectors

2. Technical Expertise

a. Cloud & Infrastructure

• - Expert‑level proficiency in either of AWS, Azure, or GCP cloud platforms
• - Deep understanding of Kubernetes, Docker, microservices architecture
• - Experience with Infrastructure as Code (Terraform, CloudFormation, ARM templates)
• - Knowledge of cloud security, compliance frameworks (SOC2, PCI‑DSS, GDPR)

b. Data & Analytics

• - Expertise in modern data architecture patterns (Data Mesh, Data Fabric, Lakehouse)
• - Proficiency with data platforms (Snowflake, Databricks, AWS Redshift, Azure Synapse)
• - Experience with real‑time streaming (Kafka, Kinesis, Event Hubs)
• - Knowledge of data governance, lineage, and quality frameworks

c. AI & Machine Learning

• - Hands‑on experience with Agentic AI platforms and multi‑agent orchestration
• - Proficiency in LLM integration, prompt engineering, and RAG architectures
• - Understanding of MLOps, model lifecycle management, and AI governance
• - Experience with AI/ML platforms (Azure AI, AWS SageMaker, Google AI Platform)

d. Software Engineering

• - Proficiency in multiple programming languages (Python, Java, JavaScript, C#)
• - Deep understanding of API design, event‑driven architecture, and integration patterns
• - Experience with modern frontend frameworks (React, Angular, Vue.js)
• - Knowledge of database technologies (SQL, NoSQL, Graph databases)

e. Leadership & Consulting Skills

• - Executive presence with ability to influence C‑level stakeholders
• - Proven ability to lead cross‑functional teams of 20+ members
• - Strong facilitation skills for workshops, design sessions, and stakeholder alignment
• - Excellent communication skills with ability to translate technical concepts to business audiences
• - Change management experience in large, complex organizational transformations

f. Industry Experience

• - Banking/Financial Services domain expertise with regulatory compliance knowledge
• - Experience with Agile/SAFe transformations and scaled delivery frameworks
• - Startup to enterprise scaling experience with platform and product development
• - Global delivery experience across multiple time zones and cultural contexts