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Senior Forward Deployed AI Engineer (GenAI, AWS)

1 week, 3 days ago
United States
Full-time
Lead
AI Engineer
Software Development
AWS AWS CDK Azure CI/CD CloudFormation GCP Generative AI Kubernetes LLM 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 48

Description

  • Spend the first weeks of each engagement performing the customer’s operational work before automating it.
  • Work embedded inside client teams and operating processes rather than as an external vendor.
  • Rebuild critical business functions from first principles using industry blueprints and client-specific constraints.
  • Own the delivery method and drive work autonomously from ambiguous starting points.
  • Ship production AI systems and continue iterating on them from real-world feedback.
  • Build, own, and interpret evaluation suites for non-deterministic GenAI/LLM systems.
  • Lead technical redesign conversations with business leaders and technical stakeholders.
  • Contribute to and improve the company’s AI delivery tooling, frameworks, and blueprints.

Requirements

  • 8+ years of software development experience, with substantial hands-on production coding responsibility.
  • Willingness to spend weeks doing operational work such as claims processing, underwriting, or revenue-cycle tasks before writing code.
  • Demonstrated ability to learn unfamiliar business domains quickly.
  • Experience shipping GenAI/LLM systems to production, not just demos or notebooks.
  • Experience building or owning an eval 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/ECS, IaC, and CI/CD.
  • Ability to communicate credibly with both BU heads and CTO-level stakeholders.
  • Comfort with ambiguity, underspecified engagements, and high ownership.
  • Solid AI/ML foundations with understanding of model failure modes.
  • Strong hands-on production experience with Claude Code/Cowork.
  • Fluent English, written and spoken.
  • Preferred: prior experience as a founder, CTO, or engineering leader returning to individual contribution.
  • Preferred: deep industry experience in financial services, insurance, healthcare, or asset management.
  • Preferred: consulting, professional services, or embedded customer-facing delivery experience.
  • Preferred: data platform experience with data lakes, warehouses, streaming/real-time analytics, data mesh, data contracts, governance, and data quality.
  • Preferred: MLOps and classical ML experience with PyTorch, SageMaker, and MLflow.
  • Preferred: experience with fine-tuning, distillation, or inference/serving optimization.
  • Preferred: graph database experience with Neo4j or AWS Neptune.
  • Preferred: IaC depth with AWS CDK, CloudFormation, or Terraform.
  • Preferred: open-source contributions or public writing on applied AI.

Benefits

  • OTE range of $150k-$180k.
  • Performance-based bonuses.
  • Remote-friendly culture.
  • Unlimited vacation policy.
  • Generous health, vision, and dental insurance.
  • 401(k) matching plan.
  • High-impact role with direct visibility to leadership.
  • Opportunity to work on cutting-edge AI and cloud solutions.

Interested in this position?

Apply directly on the company website

Apply Now

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