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Senior Forward Deployed AI Architect (GenAI, AWS)

1 month, 2 weeks ago
United States
Full-time
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
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 33

Description

  • Do the customer’s operator role for the first 2 to 4 weeks of an engagement to learn the function from the inside.
  • Rebuild business functions from first principles with the operator and Forward Deployed Executive.
  • Ship production GenAI systems, including LLM applications, agentic workflows, retrieval pipelines, and structured-extraction pipelines.
  • Build evaluation harnesses before feature development and define success against business KPIs.
  • Write production code across backend services, data pipelines, and the AI layer.
  • Deploy systems on AWS or other cloud environments in a containerized, observable, and maintainable way.
  • Use and improve Provectus industry blueprints based on field learnings.
  • Work directly with customer operators, engineers, and executives to drive adoption and change management.
  • Own engagement outcomes and align delivery to business unit KPIs.
  • Help shape commitments and solution design before work begins.

Requirements

  • 8+ years building software, with substantial hands-on production code experience.
  • Willingness to spend weeks doing the customer’s operational work before writing code.
  • Ability to learn unfamiliar business domains quickly and fluently.
  • Experience shipping GenAI or LLM systems to production, not just demos or notebooks.
  • Experience building or owning evaluation suites for non-deterministic systems.
  • Strong engineering fundamentals with Python and/or TypeScript proficiency.
  • Cloud-native delivery experience on AWS, including containers, Kubernetes/ECS, IaC, and CI/CD.
  • 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.
  • Strong hands-on production experience with Claude Code/Cowork.
  • Fluent English, written and spoken.
  • Prior experience as a founder, CTO, or engineering leader returning to individual contribution is preferred.
  • Deep experience in financial services, insurance, healthcare, or asset management is preferred.
  • Consulting, professional services, or embedded customer-facing delivery experience is preferred.
  • Data platform experience with data lakes, warehouses, streaming, real-time analytics, data mesh, data contracts, governance, and data quality is preferred.
  • MLOps and classical ML experience with PyTorch, SageMaker, or MLflow is preferred.
  • Experience with fine-tuning, distillation, or inference/serving optimization is preferred.
  • Experience with graph databases such as Neo4j or AWS Neptune is preferred.
  • IaC depth with AWS CDK, CloudFormation, or Terraform is preferred.
  • Open-source contributions or public writing on applied AI are preferred.

Benefits

  • OTE range of $150k-$180k.
  • Strong earning potential with performance-based bonuses.
  • Remote-friendly culture.
  • B2B contract model or full-time model.
  • Unlimited vacation policy.
  • Generous health, vision, and dental insurance.
  • 401(k) matching plan.
  • High-impact work with direct visibility to leadership.

Interested in this position?

Apply directly on the company website

Apply Now

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