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ML Solutions Architect

1 month, 1 week ago
Colombia
Full-time
Lead
Sales Engineer
Artificial Intelligence and Machine Learning
API Gateway AWS Azure Computer Vision Deep Learning GCP Generative AI IoT LLM Machine Learning MLOps Neural Networks
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Provectus

Provectus

Provectus provides consulting services in artificial intelligence and machine learning, assisting businesses in integrating AI solutions to meet their unique objectives and enhance their operational capabilities across various industries.

Professional Services
251-1K
Founded 2010
View All Jobs 35

Description

  • Lead technical discovery sessions with prospective clients and translate business problems into ML solutions.
  • Design end-to-end ML architectures, technical proposals, and demonstrations for client engagements.
  • Estimate project scope, timelines, costs, and resource requirements to support pre-sales efforts.
  • Serve as the primary technical point of contact for clients and manage technical stakeholder expectations.
  • Present technical solutions to both technical and non-technical audiences throughout the client lifecycle.
  • Architect agentic AI solutions using LLMs, tool orchestration, and MCP integration strategies.
  • Evaluate build-vs-buy decisions for agentic components and recommend appropriate frameworks and approaches.
  • Collaborate with delivery teams to ensure smooth project handoff and provide technical guidance during execution.
  • Develop reusable solution patterns, reference architectures, and internal toolkit documentation.
  • Mentor engineers and share best practices across the ML practice.

Requirements

  • Experience architecting end-to-end ML systems and production-grade ML architectures.
  • Deep understanding of the full ML lifecycle from data to deployment.
  • Ability to assess technical trade-offs, solution feasibility, and business fit quickly.
  • Hands-on experience with agentic AI design patterns, state management, and orchestration frameworks.
  • Practical experience with Claude Code, Claude Agent SDK, and Anthropic's tool ecosystem.
  • Understanding of Model Context Protocol (MCP) architecture and client integration design.
  • Practical knowledge of LangGraph, LangChain agents, and multi-agent orchestration patterns.
  • Demonstrated experience using AI coding assistants such as Cursor, GitHub Copilot, or Claude Code for rapid prototyping.
  • Advanced knowledge of AWS ML and data services such as SageMaker, Bedrock, Lambda, and ECS.
  • Deep understanding of Amazon Bedrock agents, knowledge bases, and model hosting options.
  • Experience with ETL/ELT pipelines, databases, data lakes, vector databases, and data warehouses.
  • Knowledge of MLOps, LLMOps, and AgentOps practices, including monitoring, evaluation, and cost optimization.
  • Familiarity with multi-cloud environments, including Azure and GCP, for comparative discussions.
  • AWS certifications such as Solutions Architect Professional or ML Specialty are preferred.
  • Experience in industries such as Finance, Healthcare, or Retail is preferred.
  • Knowledge of AI ethics and responsible AI practices is preferred.
  • Experience with edge ML and IoT deployments is preferred.
  • Published thought leadership such as blogs, talks, or whitepapers is preferred.
  • Contributions to open-source agent frameworks or MCP servers are preferred.

Benefits

  • Remote-first work with regular client travel opportunities.
  • Learning budget and conference attendance support.
  • Access to the latest AI tools and subscriptions for professional development.
  • High-visibility role working with diverse clients.
  • Opportunity to shape solution offerings and practice direction.
  • Career path toward Practice Leadership or Principal Architect.
  • Global exposure across LATAM, Europe, and North America.

Interested in this position?

Apply directly on the company website

Apply Now

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