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Full-time
bachelor degree
Posted 12d ago
~40 hrs/week
Responsibilities
Build and deploy AI-enabled applications, agents, and retrieval pipelines while connecting them to enterprise data sources. Implement automated testing, monitoring, and production-quality Python services to ensure system reliability.
Requirements
Requires at least 3 years of practical experience in building and deploying production-ready AI/ML systems. Candidates must possess strong software engineering skills and experience with LLMs, vector databases, and modern AI development tools.
Full job description
Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models (LLMs) Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education
Summary: Develop and deploy AI-enabled applications and agentic workflows in fast-moving enterprise and client environments. Must have contributed meaningful code to production software, AI, ML, or data systems. Coursework, certifications, and prototype-only experience are insufficient. Practical experience using Cursor, GitHub Copilot, Claude Code, Codex or Replit Agent to build and deploy AI services, with the ability to write effective task specifications, validate generated code, create tests, troubleshoot failures and work safely with Git and CI/CD.
Roles & Responsibilities: - Build AI services, agents, retrieval pipelines, tools, and application integrations. - Develop production-quality Python services and APIs. - Connect AI systems to enterprise data sources and business applications. - Implement automated tests, evaluations, logging, tracing, and monitoring. - Troubleshoot model outputs, data quality, integration failures, and performance issues. - Support deployment, user testing, and production stabilization. - Document reusable components and implementation patterns.
Professional & Technical Skills: - Python, APIs, data structures, software engineering, and testing. - LLMs, RAG, embeddings, vector databases, tool calling, and prompt design. - Cloud services, Docker, Git, CI/CD, SQL, and backend frameworks. - Secure coding, observability, latency, and cost considerations.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.
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, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Related keywords
AIMLLarge Language ModelsPythonCloud AIGenAIDeep LearningNeural NetworksChatbotsImage ProcessingRAGEmbeddingsVector DatabasesTool CallingPrompt DesignDocker
Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.
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