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
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
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.
Skills Required
- At least 5 years of professional experience
- 15 years of full-time education
- Experience with Large Language Models (LLMs)
- Advanced Python and modern model-development frameworks
- Knowledge of machine learning, deep learning, statistics, and experimental design
- Experience with foundation models, agentic systems, AI evaluation, and behavior analysis
- Evidence of applied AI research reaching deployed products, platforms, or production pilots
- Ability to write reliable, testable, and maintainable production code
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
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Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
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Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
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Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
Accenture Insights
What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
