Tech Solutions Lead

Edelman; Colombia; On-site; COP 150,000,000 - 230,000,000; Full time

Benefits offered by this job

Job summary

Edelman is seeking a technically sharp Technical Solutions Lead for the Client Services & Platform group. You will design enterprise architectures, drive AI-enabled delivery, and bridge business needs with robust software solutions.

You'll collaborate with clients and teams to prototype, evaluate technology stacks, and deliver production-ready architectures that scale. Strong communication and hands-on coding remain valued in this role.

Qualifications

• Bachelor's degree in a technical field is required.
• Proven experience designing end-to-end enterprise architectures.
• Hands-on delivery with modern engineering practices.

Responsibilities

• Lead architecture design across client engagements while aligning to enterprise standards.
• Develop reference architectures and patterns for repeatable delivery.
• Prototype fast to de-risk decisions and guide production deployments.
• Collaborate with stakeholders to translate requirements into scalable solutions.

Skills

Enterprise Architecture

AI integration

Solution design

Cloud-native / microservices

Education

Bachelor's Degree in Computer Science or related field

Tools

OpenAI API

Anthropic Claude

Databricks

Snowflake

Azure / AWS / GCP

Docker

FastAPI / Python

Job description

Edelman is a voice synonymous with trust, reimagining a future where the currency of communication is action. Our culture thrives on three promises: boldness is possibility, empathy is progress, and curiosity is momentum.

At Edelman, we understand diversity, equity, inclusion and belonging (DEIB) transform our colleagues, our company, our clients, and our communities. We are in relentless pursuit of an equitable and inspiring workplace that is respectful of all, reflects and represents the world in which we live, and fosters trust, collaboration and belonging.

Technical Solutions Lead

Client Services & Platform

Summary

A technically sharp and commercially curious Solution Architect with a strong foundation in enterprise technology design, AI integration, and hands-on software delivery. Comfortable bridging the gap between business needs and technical execution — designing practical, scalable solutions while staying close to the code.

Brings experience across consulting, rapid prototyping, and multi-system architecture, with a genuine enthusiasm for the opportunities that generative AI and modern engineering practices unlock for clients and teams.

Professional Experience

Solution Architecture & Technical Design

• Design and document end-to-end solution architectures aligned to business requirements, security, and scalability.
• Contribute to reference architectures and architectural patterns across project engagements.
• Evaluate and recommend technology stacks - including AI platforms and development tooling - with clear rationale.
• Support architecture reviews and ensure solutions align with enterprise standards and governance requirements.

Engineering Delivery

• Work closely with engineering teams to translate architecture into working, production-quality systems.
• Apply modern engineering practices: clean code, CI/CD pipelines, testing strategies, and observability.
• Participate in code and design reviews, sharing architectural context and raising quality across the team.
• Comfortable getting hands-on - contributing code and debugging when it matters most.

Rapid Prototyping & AI Innovation

• Lead proof-of-concept builds to de-risk architecture decisions and validate solution approaches quickly.
• Use AI-assisted development tools (coding copilots, LLM APIs, agent frameworks) to accelerate delivery and exploration.
• Translate prototype learnings into well-structured, production-ready architectures and delivery plans.
• Stay current with the fast-moving generative AI landscape and bring relevant ideas to client engagements.

Consulting & Stakeholder Engagement

• Engage directly with business and technical stakeholders to understand requirements and shape practical solutions.
• Support workshops, solution design sessions, and technical discovery activities.
• Communicate architectural thinking clearly - adapting the level of detail for different audiences.
• Contribute to proposals, assessments, and solutioning work as part of client engagements.

Technical Capabilities

Architecture & Design

• Enterprise Solution Architecture, Microservices, Event-Driven and API-first design
• Cloud-native systems, distributed architectures, integration patterns
• Security-by-design, scalability and resilience principles

Artificial Intelligence & Emerging Technology

• Generative AI platforms and Large Language Models (LLMs)
• AI agents, intelligent automation, and prompt engineering
• AI-assisted development workflows and tooling

Engineering & Delivery

• Modern software engineering, DevOps, CI/CD pipelines
• Observability, reliability engineering, and testing strategies
• Rapid prototyping and proof-of-concept development
• Python, modern application frameworks, API-based architectures

What Sets This Role Apart

• You’ll work at the intersection of architecture, AI, and consulting - not siloed in one discipline.
• Real exposure to generative AI in enterprise settings - not just theory, but hands-on delivery.
• Mentorship and growth from senior technology and business leadership while owning meaningful pieces of complex client solutions.
• A culture that values engineering quality, intellectual curiosity, and getting things built.

TOOLS & PLATFORMS

AI & Language Models

• OpenAI API (GPT-4 and beyond) - prompt engineering, function calling, embeddings
• Anthropic / Claude - enterprise AI integration, Claude API, responsible AI workflows

Data & Analytics

• Databricks - unified data and AI platform, Delta Lake, MLflow, notebooks
• Snowflake - cloud data warehousing, data sharing, and analytics at scale

Cloud & Infrastructure

• Azure / AWS / GCP - cloud-native architectures, managed services, IAM, networking
• Docker / containerised deployments, cloud-managed compute and serverless patterns

Development & Source Control

• GitHub / Git - version control, branching strategies, pull request workflows, CI/CD integration
• FastAPI / Python frameworks - API development, backend services, AI application scaffolding

EDUCATION

Bachelor's Degree in Computer Science, Software Engineering, or a related technical discipline - or equivalent practical experience.

We are dedicated to building a diverse, inclusive, and authentic workplace. If you’re excited about this role but your experience doesn’t perfectly align with every qualification, you may be just the right candidate for this or other roles.