GenAI Platform Engineer

1 day, 3 hours ago
Full-time
Senior
DevOps and Infrastructure
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

Description

  • Stand up and harden AI services in cloud or on-prem environments that ground responses in mission data and reduce hallucinations.
  • Implement prompt and version management, policy-based filtering, role-based access, audit trails, and safety checks aligned to federal guidelines.
  • Define and track SLIs and SLOs for quality, latency, safety, and cost, and instrument systems with observability metrics.
  • Run on-call support, lead postmortems, and drive improvements to mean time to recovery.
  • Optimize performance and spend through caching, batching, autoscaling, usage metering, and FinOps practices.
  • Build reusable platform components such as SDKs, CI/CD templates, and Terraform/IaC modules for multiple mission teams.
  • Apply retrieval and evaluation methods to improve grounding, latency, helpfulness, safety, and factuality.
  • Own production systems end-to-end from integration and deployment through observability and incident response.

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.
  • Comfort working with SLOs, dashboards, reliability, latency, safety, and cost metrics.
  • Clear communication skills for working with engineers, product managers, and security stakeholders in compliance-heavy environments.
  • Must be a US citizen.
  • Experience integrating leading cloud AI services or on-prem inference stacks is preferred.
  • Background in evaluation and safety testing or A/B experimentation for AI experiences is preferred.
  • FinOps experience for AI, including metering, budgets, and spend optimization, is preferred.
  • Prior work in regulated or secure environments such as FedRAMP-like controls or ATO processes is preferred.
  • Contributions to internal frameworks or open-source tooling, or mentorship of engineers, is preferred.
  • An advanced degree is welcome but not required.

Benefits

  • Base salary range of $100,200 to $203,400 USD for specified locations.
  • Access to a collaborative and caring workplace recognized as a Glassdoor Top 100 Best Place to Work.
  • Hands-on experience, certifications, and industry training to support professional growth.
  • Reasonable accommodations process for disabilities or religious observances.
  • Equal employment opportunity and affirmative action commitment for veterans and individuals with disabilities.
  • Applications are accepted on an ongoing basis with no fixed deadline.

Interested in this position?

Apply directly on the company website

Apply Now

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