Job Description, Responsibilities & Requirements
About the Position
As an AI/ML Solutions Architect, you'll be the technical bridge between clients and delivery teams. You'll lead pre-sales technical discussions, design ML architectures that solve business problems, and ensure solutions are feasible, scalable, and aligned with client needs. This is a highly client-facing role requiring both deep technical expertise and strong communication skills.
In the era of Generative AI and autonomous systems, you'll also be responsible for architecting agentic solutions that leverage LLMs, tool ecosystems, and AI-assisted workflows to deliver transformative value to clients.
Core Responsibilities
Pre-Sales and Solution Design (45%)
- Lead pre-sales technical discussions
- Design ML architectures that solve business problems
- Ensure solutions are feasible, scalable, and aligned with client needs
Client-Facing Technical Leadership (25%)
- Serve as the primary technical point of contact for clients
- Manage technical stakeholder expectations
- Present technical solutions to both technical and non-technical audiences
- Navigate complex organizational dynamics and conflicting priorities
- Ensure client satisfaction throughout the project lifecycle
- Build long-term trusted advisor relationships
Agentic Solutions Architecture (15%)
- Architect agentic solutions leveraging LLMs, tool ecosystems, and AI-assisted workflows
Internal Collaboration and Handoff (15%)
- Collaborate with delivery teams to ensure smooth handoff
- Provide technical guidance during project execution
- Contribute to the development of reusable solution patterns and agentic accelerators
- Share learnings and best practices with ML practice
- Mentor engineers on client communication and solution design
- Contribute to Provectus AI toolkit documentation and solution templates
Requirements
ML Architecture and Design
- Solution Design: Ability to architect end-to-end ML systems for diverse business problems
- ML Lifecycle: Deep understanding of the full ML lifecycle from data to deployment
- System Design: Experience designing scalable, production-grade ML architectures
- Trade-off Analysis: Ability to evaluate technical approaches (cost, performance, complexity)
- Feasibility Assessment: Quickly assess if ML is an appropriate solution for a problem
Agentic Engineering & AI-Assisted Development
- Experience in architecting LLM-based applications including agentic systems
ML Breadth
- Multiple ML Domains: Experience across various ML applications (RAG, Computer Vision, Time Series, Recommendation, etc.)
- LLM Solutions: Strong experience in architecting LLM-based applications including agentic systems
- Classical ML: Foundation in traditional ML algorithms and when to use them
- Deep Learning: Understanding of neural network architectures and applications
- MLOps/LLMOps/AgentOps: Knowledge of production ML infrastructure and DevOps practices for all ML paradigms
Cloud and Infrastructure
- AWS Expertise: Advanced knowledge of AWS ML and data services (SageMaker, Bedrock, Lambda, ECS, etc.)
- Amazon Bedrock: Deep understanding of Bedrock agents, knowledge bases, and model hosting options
- Multi-Cloud Awareness: Understanding of Azure, GCP alternatives for comparative discussions
- Serverless Architectures: Experience with Lambda, API Gateway, Step Functions for agentic workflows
- Cost Optimization: Ability to design cost-effective solutions with clear TCO analysis
- Security and Compliance: Understanding of data security, privacy, and compliance requirements
Data Architecture
- Data Pipelines: Understanding of ETL/ELT patterns and tools
- Data Storage: Knowledge of databases, data lakes, vector databases, and warehouses
- Data Quality: Understanding of data validation and monitoring
- Real-time vs Batch: Ability to design for different data processing needs
Nice to Have
- Experience and Education
We Offer
What We Offer
We are waiting for you to become a part of our team!
Locations
- Medellín, Antioquia
- Bogotá, Capital District
- Cali, Valle del Cauca
- Barranquilla
- Bucaramanga, Santander