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Forward Deployed AI Architect (GenAI, AWS)

1 month, 1 week ago
United States
Full-time
Lead
AI (Artificial Intelligence)
Software Development
AWS AWS CDK Azure CI/CD Docker Kubernetes 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 33

Description

  • Perform an operator’s role for two to four weeks to understand business processes and constraints firsthand.
  • Learn unfamiliar domains quickly and redesign business functions with operators and Forward Deployed Executives.
  • Build and deploy production GenAI applications, agentic workflows, retrieval systems, extraction pipelines, and supporting services.
  • Design evaluation harnesses, define success metrics, and use evaluation results to guide system development.
  • Write production code across backend services, data pipelines, and AI layers using tools suited to each customer.
  • Deploy containerized, observable, and maintainable systems on AWS or other required cloud platforms.
  • Feed insights and reusable solutions from client engagements back into Provectus industry blueprints.
  • Drive adoption and measure engineering work against customer business-unit KPIs.
  • Collaborate with customer engineers, operators, executives, and senior Provectus leaders.
  • Shape engagement commitments and technical approaches before implementation begins.

Requirements

  • 8+ years of software development experience, including substantial ownership of production code.
  • Willingness to perform customers’ operational work before designing or building automation.
  • Demonstrated ability to become productive in unfamiliar business domains quickly.
  • Experience shipping GenAI or LLM systems to production, beyond prototypes or notebooks.
  • Experience building or owning evaluation suites for non-deterministic AI systems.
  • Strong engineering fundamentals and proficiency in Python and/or TypeScript.
  • AWS cloud-native delivery experience with containers, Kubernetes/ECS, infrastructure as code, CI/CD, and operations; GCP or Azure experience is a plus.
  • Strong AI/ML foundations and ability to reason about model capabilities and failure modes.
  • Hands-on production experience with Claude Code and Cowork.
  • Ability to communicate credibly with business-unit leaders, CTOs, engineers, operators, and executives.
  • Comfort with ambiguity, autonomy, customer-facing work, and outcome ownership.
  • Fluent written and spoken English.
  • Preferred: founder, CTO, or engineering leadership experience with a return to individual contribution.
  • Preferred: experience in financial services, insurance, healthcare, or asset management.
  • Preferred: consulting or embedded professional-services delivery experience.
  • Preferred: data platforms, MLOps, classical ML, model optimization, graph databases, IaC, or applied-AI open-source/publication experience.

Benefits

  • OTE range of $150,000–$180,000 with performance-based bonuses.
  • Remote-friendly work culture.
  • Full-time or B2B contract work models.
  • Unlimited vacation policy.
  • Health, vision, and dental insurance.
  • 401(k) matching plan.
  • Opportunity to work on frontier AI and cloud delivery programs with senior teams and direct leadership visibility.

Interested in this position?

Apply directly on the company website

Apply Now

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