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Generative AI Platform Engineer

1 day, 2 hours ago
United States
Full-time
Mid Level
AI Engineer
DevOps and Infrastructure
CI/CD Docker Generative AI LLM OpenSearch Python Terraform
Apply Now
Accenture

Accenture

Accenture provides management consulting, technology services, and outsourcing solutions across various industries, leveraging emerging technologies and human ingenuity to help organizations improve performance and create sustainable value.

Professional Services
100K+
Founded 1989
View All Jobs 55

Description

  • Operationalize LLM and RAG systems by standing up and hardening AI services in cloud or on-prem environments.
  • Implement prompt versioning, policy-based filtering, role-based access controls, audit trails, and safety checks aligned to federal guidelines.
  • Define and track SLIs and SLOs for quality, latency, safety, and cost; instrument metrics and participate in on-call support.
  • Lead postmortems and incident response efforts to reduce mean time to recovery for AI services.
  • Optimize performance and cost through caching, batching, autoscaling, usage metering, and FinOps practices.
  • Build reusable SDKs, CI/CD templates, and Terraform/IaC modules to support multiple mission teams.
  • Improve retrieval quality using information retrieval metrics and run offline and online evaluations for helpfulness, safety, and factuality.
  • Collaborate with engineers, product managers, and security stakeholders in compliance-heavy environments.
  • Own production systems end to end, from integration and deployment through observability and operations.

Requirements

  • Strong Python experience.
  • Experience with retrieval and vector search technologies such as pgvector, Milvus, or OpenSearch.
  • Ability to own production systems end to end, including integration, deployment, observability, and incident response.
  • Experience grounding AI systems in enterprise data.
  • Comfort working with SLOs, dashboards, and reliability/latency/cost metrics.
  • Clear communication skills for working with engineers, PMs, and security stakeholders.
  • Must be a US citizen.
  • Work authorization that does not now or in the future require visa sponsorship in the United States.
  • Preferred experience integrating cloud AI services or on-prem inference stacks.
  • Preferred background in evaluation, safety testing, or A/B experimentation for AI experiences.
  • Preferred FinOps experience for AI, including metering, budgets, and usage optimization.
  • Preferred experience in regulated or secure environments such as FedRAMP-like controls or ATO processes.
  • Preferred contributions to internal frameworks or open-source tooling, or experience mentoring engineers.
  • Advanced degree is welcome but not required.

Benefits

  • Base salary range of $100,200 to $203,400 USD for listed locations.
  • Wide variety of company benefits.
  • Collaborative and caring work environment.
  • Hands-on experience, certifications, and industry training.
  • Opportunities to grow, learn, and thrive.
  • Applications accepted on an ongoing basis with no fixed deadline.
  • Reasonable accommodations available for disabilities or religious observances.

Interested in this position?

Apply directly on the company website

Apply Now

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