AI Engineer - Forward Deployed Engineer Associate Manager · Databricks · Reinvention Centers
AI summary of the role
This is a client-facing AI engineering role within Accenture's Advanced Technology Centers, focused on building and deploying production-grade GenAI solutions on the Databricks Intelligence Platform.
What you’ll do
- Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
- Build RAG and multi-agent systems on Databricks using Mosaic AI, Vector Search, Model Serving, and MLflow; govern data and models through Unity Catalog.
- Develop data and feature foundations on the Lakehouse (Delta Lake, DLT, Unity Catalog) that feed production AI applications.
- Conduct design workshops, proofs of concept, and code-with sessions with client stakeholders.
What you’ll bring
- Minimum 4 years of engineering experience on Databricks and large-scale big data projects (Delta Lake, DLT, Apache Spark, Unity Catalog).
- Minimum 5 years of experience in Python, Java, or equivalent.
- Minimum 1 year experience in designing and shipping agentic AI solutions in production.
- Minimum 2 years experience in shipping to production: CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
Technologies
Databricks · Mosaic AI · Delta Lake · Apache Spark · Unity Catalog · LangChain · HuggingFace · DSPy · MLflow · Terraform
About Accenture
Accenture helps enterprises and governments reinvent strategy, technology, operations and customer growth through global consulting, managed services, AI/data, cloud and ecosystem partnerships.
Public · 5000+ people
Source and classification
Production engineering · Evidence for this classification:
seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world. For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges. You Are: An AI Native Engineer with strong experience building GenAI solutions and deep expertise in productionizing AI applications on the Databricks Intelligence Platform. You thrive in customer-facing complexity and deliver outcomes by applying the latest techniques from Mosaic AI Research, designing RAG and multi-agent systems with HuggingFace, LangChain, and DSPy, and shipping production-grade GenAI at scale on AWS, Azure, or GCP. The Work: You will embed directly with clients as both technologist and trusted advisor. You will partner with
More from the job description
We are: The Advanced Technology Centers (ATCs) are the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs provide our clients with seamless access to industry insights and innovative technology solutions. Stronger together The Advanced Technology Centers (ATCs) make a tremendous impact in solving our clients’ business problems by leveraging innovation, intelligence, industry insights, new IT, and new technology skills. With the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients. The value for our clients and our people: For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world. For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges. You Are: An AI Native Engineer with strong experience building GenAI solutions and deep expertise in productionizing AI applications on the Databricks Intelligen [... source excerpt omitted ...] omplexity and deliver outcomes by applying the latest techniques from Mosaic AI Research, designing RAG and multi-agent systems with HuggingFace, LangChain, and DSPy, and shipping production-grade GenAI at scale on AWS, Azure, or GCP. The Work: You will embed directly with clients as both technologist and trusted advisor. You will partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Responsibilities: • Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle obser [... source excerpt omitted ...] earch, Model Serving, and MLflow; govern data and models through Unity Catalog. • Develop data and feature foundations on the Lakehouse (Delta Lake, DLT, Unity Catalog) that feed production AI applications. • Tailor and deploy agentic applications across industries such as finance, healthcare, and retail. • Conduct design workshops, proofs of concept, and code-with sessions with client stakeholders. • Define and use metrics to measure agent accuracy, latency, safety, and cost efectiveness. • Process large-scale distributed datasets on the Databricks Intelligence Platform with Apache Spark™. • Integrate LLM solutions with APIs, model monitoring, and prompt management. • Operat
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