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Senior Forward Deployed AI Architect (GenAI, AWS)

1 month, 2 weeks ago
Colombia
Contract
Lead
AI Engineer
Software Development
AWS AWS CDK Azure CI/CD CloudFormation GCP Generative AI Kubernetes LLM Microservices MLflow MLOps Neo4j Python PyTorch Terraform TypeScript
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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

Description

  • Spend the first 2 to 4 weeks of each engagement doing the operator’s job to learn the workflow from the inside.
  • Work directly with operators and Forward Deployed Executives to redesign functions from first principles.
  • Ship production GenAI systems in customer environments, including LLM applications, agentic workflows, retrieval pipelines, and structured-extraction systems.
  • Build evaluation harnesses and define success metrics before implementing features.
  • Write production code across backend services, data pipelines, and AI layers.
  • Deploy and maintain cloud-native systems on AWS, with GCP or Azure where needed.
  • Drive adoption and change management so the delivered system is actually used by the business unit.
  • Own outcomes against business KPIs rather than hours worked or scope delivered.
  • Feed learnings from client engagements back into Provectus industry blueprints.
  • Partner with customer engineers, operators, executives, and internal leaders to shape commitments and delivery plans.

Requirements

  • 8+ years building software, with substantial experience writing production code you were accountable for.
  • Willingness to spend weeks doing the customer’s operational work before writing code.
  • Ability to learn unfamiliar business domains quickly enough to challenge subject-matter experts.
  • Experience shipping GenAI or LLM systems to production, not just demos or notebooks.
  • Experience building or owning an evaluation suite for a non-deterministic system.
  • Strong engineering fundamentals and proficiency in Python and/or TypeScript.
  • Cloud-native delivery experience on AWS, including containers, Kubernetes or ECS, IaC, and CI/CD; GCP or Azure is a plus.
  • Ability to communicate credibly with senior stakeholders, including BU heads and CTOs.
  • Comfort with ambiguity and strong ownership in underspecified engagements.
  • Solid AI/ML foundations and understanding of model failure modes.
  • Hands-on production experience with Claude Code and/or Cowork.
  • Fluent English, written and spoken.
  • Prior experience as a founder, CTO, or engineering leader who returned to individual contribution is a plus.
  • Deep experience in financial services, insurance, healthcare, or asset management is a plus.
  • Consulting, professional services, or other embedded customer-facing delivery experience is a plus.
  • Data platform depth in data lakes, warehouses, streaming, real-time analytics, data mesh, data contracts, governance, and data quality is a plus.
  • MLOps and classical ML experience with PyTorch, SageMaker, or MLflow is a plus.
  • Experience with fine-tuning, distillation, or inference and serving optimization is a plus.
  • Experience with graph databases such as Neo4j or AWS Neptune is a plus.
  • IaC depth with AWS CDK, CloudFormation, or Terraform is a plus.
  • Open-source contributions or public writing on applied AI is a plus.

Benefits

  • Remote-friendly culture.
  • Strong earning potential with performance-based bonuses.
  • Medical insurance coverage.
  • PTO policy plus paid local public holidays.
  • Generous budget for educational opportunities.
  • High-impact role with direct visibility to leadership.
  • Opportunity to work with cutting-edge AI and cloud solutions.
  • B2B contract model.

Interested in this position?

Apply directly on the company website

Apply Now

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