AI Engineer - Forward Deployed Engineer Associate Manager

Accenture seeks an AI native engineer in Irving, TX (hybrid) to partner with clients, productionize GenAI on the Databricks Intelligence Platform, and deploy agentic workflows at scale, with a salary range of USD 68,300 to 261,500 per year.

Responsibilities

• Embed with client teams as a technologist and trusted advisor, collaborating with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operable in complex enterprise contexts.
• Design and engineer enterprise‑grade AI agents covering retrieval, orchestration, policy‑based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• Build retrieval augmented generation 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 stack (Delta Lake, DLT, Unity Catalog) to feed production AI applications.
• Tailor and deploy agentic applications across industries such as finance, healthcare, and retail.
• Lead design workshops, proofs of concept, and code‑with sessions with client stakeholders.
• Define and apply metrics to measure agent accuracy, latency, safety, and cost effectiveness.
• Process large‑scale distributed datasets on the Databricks Intelligence Platform using Apache Spark.
• Integrate LLM solutions with APIs, model monitoring, and prompt management.
• Operate MLOps and LLMOps pipelines with CI/CD across the ML and LLM lifecycle.

Requirements

• Minimum 4 years of engineering experience on Databricks and large‑scale big data projects (Delta Lake, DLT, Apache Spark, Unity Catalog); also have built API layers exposing data and AI/ML capabilities to enterprise systems.
• Minimum 5 years of experience in Python, Java, or equivalent; comfortable with evaluation tooling, logging, monitoring, and observability.
• Minimum 1 year of designing and shipping agentic AI solutions in production.
• Minimum 1 year of shipping agentic solutions in production (agents, orchestration, context engineering, RAG, workflows) using AI platforms (OpenAI, Claude, Vertex AI, open source) and Databricks AI tooling (Mosaic AI, Vector Search, Model Serving, MLflow).
• Minimum 2 years of shipping to production: CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging; practical MLOps and LLMOps experience across the ML and LLM lifecycle (model training, serving, monitoring, prompt management).
• Bachelor's degree or equivalent work experience (minimum 12 years); if holding an Associate Degree, a minimum of 6 years of work experience.

Technologies

• Databricks Intelligence Platform
• Mosaic AI
• Vector Search
• Model Serving
• MLflow
• Unity Catalog
• Delta Lake
• DLT
• Apache Spark
• HuggingFace
• LangChain
• DSPy
• AWS
• Azure
• GCP
• OpenAI
• Claude
• Vertex AI
• Terraform
• Helm
• Python
• Java

Benefits

• Medical, dental, vision, life, and long‑term disability coverage
• 401(k) plan
• Bonus opportunities
• Paid holidays
• Paid time off