AI Infrastructure Architect
Quick Summary
- Research and prototype techniques in reasoning, planning, memory, retrieval, evaluation, adaptation, or multimodal AI.- Design reproducible experiments and meaningful benchmarks.
15 years full time educationSummary: Conduct applied AI research and convert promising techniques into robust components for enterprise agentic systems and AI products.Advanced use of Claude Code,
Project Role Description : Architect and build custom Artificial Intelligence (AI) infrastructure/hardware solutions. Optimize AI infrastructure/hardware performance, power consumption, cost and scalability of computational stack. Advise on AI infrastructure technology and vendor evaluation, selection and full stack integration.
Must have skills : Large Language Models (LLMs)
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
Conduct applied AI research and convert promising techniques into robust components for enterprise agentic systems and AI products.
Advanced use of Claude Code, Codex, Cursor, Hugging Face, Weights & Biases, MLflow and LangSmith to accelerate experiment implementation, benchmark creation and failure analysis while preserving reproducibility, versioning, statistical validity and production-quality code.
Must show evidence of applied research reaching deployed products, platforms, or production pilots. Purely paper-oriented research or notebook-only experimentation is insufficient.
Roles & Responsibilities:
- Research and prototype techniques in reasoning, planning, memory, retrieval, evaluation, adaptation, or multimodal AI.
- Design reproducible experiments and meaningful benchmarks.
- Compare models and approaches across quality, latency, cost, safety, and scalability.
- Convert validated methods into production-quality libraries and services.
- Partner with architects and engineers on deployment and operational hardening.
- Investigate production failures and improve system behavior.
- Mentor research engineers and contribute to patents or publications where relevant.
Professional & Technical Skills:
- Machine learning, deep learning, statistics, and experimental design.
- Advanced Python and modern model-development frameworks.
- Foundation models, agentic systems, evaluation, and behavior analysis.
- Reliable, testable, and maintainable production code.
15 years full time education
Visit us at www.accenture.com
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Location & Eligibility
Listing Details
- Posted
- September 22, 2026
- First seen
- September 29, 2026
- Last seen
- October 2, 2026
Posting Health
- Days active
- 4
- Repost count
- 0
- Trust Level
- 23%
- Scored at
- October 4, 2026
Signal breakdown
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