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Senior Forward Deployed AI Engineer (GenAI, AWS)

1 month, 3 weeks ago
Colombia, Costa Rica
Full-time
Lead
AI Engineer
Software Development
AWS AWS CDK Azure CI/CD CloudFormation Docker GCP Generative AI Kubernetes LLM MLflow Neo4j Python PyTorch Terraform TypeScript
Apply Now
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 37

Description

  • Spend the first weeks of engagements doing the customer’s work before automating it.
  • Embed directly within client operations as part of the customer’s team and process.
  • Rebuild critical business functions from first principles using existing industry blueprints as a baseline.
  • Own the technical method and delivery outcome for each engagement.
  • Collaborate with Forward Deployed Executives and client stakeholders to redesign workflows and operating models.
  • Build and ship production AI systems and iterate them based on field learnings.
  • Measure success by business-unit performance rather than hours or scope delivered.
  • Evaluate model and system performance using defined evaluation suites and failure-mode analysis.
  • Work across real operating problems without being confined to a narrow project scope.

Requirements

  • 8+ years building software, with substantial hands-on production coding experience.
  • Willingness to work in the operator’s seat for weeks before writing code.
  • Ability to learn unfamiliar business domains quickly and credibly.
  • Experience shipping GenAI/LLM systems to production.
  • Experience building or owning an evaluation suite for a non-deterministic system.
  • Strong engineering fundamentals and productivity in unfamiliar codebases or languages.
  • Proficiency in Python and/or TypeScript.
  • Cloud-native delivery experience on AWS, including containers, Kubernetes/ECS, IaC, and CI/CD.
  • Ability to communicate effectively with senior business and technical stakeholders.
  • Comfort with ambiguity, underspecified engagements, and high ownership.
  • Solid AI/ML foundations and understanding of model failure modes.
  • Fluent English, written and spoken.
  • Nice to have: prior experience as a founder, CTO, or engineering leader who returned to individual contribution.
  • Nice to have: deep domain experience in financial services, insurance, healthcare, or asset management.
  • Nice to have: consulting, professional services, or other embedded customer-facing delivery experience.
  • Nice to have: data platform experience with data lakes, warehouses, streaming, real-time analytics, data mesh, governance, and data quality.
  • Nice to have: MLOps and classical ML experience with PyTorch, SageMaker, and MLflow.
  • Nice to have: experience with fine-tuning, distillation, or inference/serving optimization.
  • Nice to have: graph database experience with Neo4j or AWS Neptune.
  • Nice to have: IaC experience with AWS CDK, CloudFormation, or Terraform.
  • Nice to have: open-source contributions or public writing on applied AI.

Benefits

  • Remote-friendly culture.
  • Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations.
  • Opportunity to shape how major enterprises adopt AI from strategy through first deployment.
  • Small, senior teams working alongside Principal Architects and Forward Deployed Engineers.
  • Chance to help build the tooling and frameworks for a growing AI delivery practice.

Interested in this position?

Apply directly on the company website

Apply Now

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