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Provectus

Senior Forward Deployed Engineer, GenAI, AWS

Provectus

. Embed inside banks, insurers, and health systems to understand their operations and constraints .

Posted 11/12/2026full-timeUnited StatesSenior💰 $180,000 - $250,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive hands-on software engineering experience, particularly in building and deploying GenAI/LLM systems in regulated environments. Proficient in Python and TypeScript, with a strong understanding of cloud-native delivery on AWS and familiarity with AI adoption strategies in financial services and healthcare.

Highest-signal resume keywords
GenAI/LLM Systems DeploymentPython ProficiencyAWS Cloud-Native DeliveryHands-On Software EngineeringPresales Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringProduction CodingEvaluation Suite DevelopmentCloud-Native DeliveryCI/CD ExperienceInfrastructure as CodeKubernetes ExperienceTypeScript ProficiencyAI Delivery FrameworksBusiness Function Analysis
Soft Skills
Autonomous OwnershipComfort with AmbiguityStakeholder EngagementCollaborationTechnical Interviewing
Tools & Technologies
AWSClaudeCoworkKubernetesECSAWS CDKCloudFormationTerraformMCPIntegrations
Industry Keywords
Financial ServicesHealthcareAI AdoptionBusiness FunctionsRegulated Production Environments

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformKubernetesOpen SourcePythonSDLCTerraformTypeScript

About the role

Key responsibilities & impact
  • Embed inside banks, insurers, and health systems to understand their operations and constraints
  • Rebuild business functions from first principles alongside clients and a Forward Deployed Executive
  • Build and ship Claude + AWS systems into regulated production environments
  • Work as part of the customer’s team inside their processes
  • Own the engagement method autonomously from framing through production
  • Start from Provectus industry Blueprints and incorporate field learnings back into them
  • Deliver Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
  • Help enterprises adopt AI from strategy through first deployment
  • Build tooling and frameworks for a growing AI delivery practice
  • Participate in on-site visits to client facilities and the NYC office once a week
  • Participate in recruitment, technical, live engineering, and soft-skills interviews

Requirements

What you’ll need
  • Typically 7+ years building software, with substantial production coding accountability
  • Hands-on software engineering experience and intent to remain hands-on
  • Ability to understand an unfamiliar business function quickly before writing code
  • Shipped GenAI/LLM systems to production, beyond demos and notebooks
  • Built or owned an evaluation suite for a nondeterministic system
  • Strong engineering fundamentals and ability to become productive in unfamiliar codebases or languages
  • Proficiency in Python and/or TypeScript
  • Cloud-native delivery experience on AWS; GCP/Azure experience is a plus
  • Presales experience and ability to engage senior business and technical stakeholders
  • Comfort with ambiguity and autonomous ownership
  • Hands-on experience with Claude, Claude Code, and Cowork, including skills, workflows, MCP, integrations, connectors, and custom harnesses
  • Containers and orchestration experience with Kubernetes/ECS is a plus
  • Production CI/CD experience is a plus
  • IaC experience with AWS CDK, CloudFormation, or Terraform is a plus
  • Open source contributions or public writing on applied AI is a plus
  • No Visa sponsorship

Benefits

Comp & perks
  • Unlimited Vacation policy
  • Generous health, vision, and dental insurance
  • 401(k) matching plan
  • Base salary $180k to $250k + bonuses; OTE up to $300k
  • Anthropic Preferred Partner access and newest Claude models
  • Claude certification
  • Conference talks
  • Open source contributions
  • Published work under your own name
  • Work beside senior FDEs on a Claude certified team
  • Real platform including talks and open source opportunities
  • AI engineering events in New York and San Francisco