Production AI Architect: Claude + AWS, Embedded & Impactful

Provectus

New York (NY)

On-site

USD 180,000 - 200,000

Full time

3 hours ago
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Benefits offered by this job

Unlimited vacation
Health, vision and dental insurance
401(k) matching

Job summary

Provectus is hiring for a senior AI/GenAI engineering role based in New York City. You will embed with bank, insurer, or health system clients to deploy Claude-powered solutions into regulated production environments, owning the work end-to-end from framing to production.

You will collaborate with a Claude-certified team, leverage cloud-native delivery on AWS, and contribute to a growing AI delivery practice while engaging with senior stakeholders across industries.

Qualifications

  • 7+ years building software with hands-on production code responsibility.
  • Shipped GenAI/LLM systems to production, not demos.
  • Experience evaluating non-deterministic systems with an eval suite.
  • Proficient in Python and/or TypeScript; adaptable to unfamiliar codebases.

Responsibilities

  • Spend initial weeks learning constraints in the client environment and rebuild the function.
  • Join the customer’s team and own the method autonomously.
  • Leverage Provectus Blueprints as baseline for engagements and improve from field learnings.
  • Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare.
  • Shape enterprise adoption of AI from strategy through first deployment.

Skills

GenAI/LLM production
Python/TypeScript
Pre-sales
Stakeholder management
Ownership & accountability
Claude/Cowork tooling

Tools

AWS
Kubernetes/ECS
Terraform
CloudFormation
AWS CDK

Job description

Provectus is hiring for a senior AI/GenAI engineering role based in New York City. You will embed with bank, insurer, or health system clients to deploy Claude-powered solutions into regulated production environments, owning the work end-to-end from framing to production.

You will collaborate with a Claude-certified team, leverage cloud-native delivery on AWS, and contribute to a growing AI delivery practice while engaging with senior stakeholders across industries.

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