Forward-Deployed AI Engineer & Tech Lead

Accenture PLC; Washington (District of Columbia); Hybrid; USD 68,000 - 241,000; Full time

Benefits offered by this job

Medical Insurance

Dental

Vision

Life Insurance

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking an AI Native Engineer to embed with clients as a technologist and trusted advisor, delivering GenAI at scale. You will define use cases, prototype rapidly, and deploy agentic workflows that are robust, secure, and operational in complex enterprises.

You will lead design workshops and production deployments, working across finance, healthcare, and retail sectors while leveraging Mosaic AI, LangChain, HuggingFace, DSPy, and cloud platforms.

Qualifications

• 4+ years engineering experience on Databricks and large-scale data projects.
• 5+ years of experience in Python, Java, or equivalent.
• 1 year experience designing and shipping agentic AI solutions in production.
• 1 year experience shipping agentic solutions using AI platforms and Databricks AI tooling.
• 2 years experience shipping to production: CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging. MLOps/LLMOps across the ML/LLM lifecycle.
• Bachelor's degree or equivalent (minimum 12 years) work experience.

Responsibilities

• 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.
• 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 effectiveness.
• Process large-scale distributed datasets on the Databricks Intelligence Platform with Apache Spark™.
• Integrate LLM solutions with APIs, model monitoring, and prompt management.
• Operate MLOps / LLMOps pipelines with CI/CD across the ML and LLM lifecycle.

Skills

Databricks

Python

Java

MLOps

LLMOps

CI/CD

Terraform

Helm

Education

Bachelor's degree or equivalent

Tools

Delta Lake

DLT

Apache Spark

Unity Catalog

Mosaic AI

Vector Search

Model Serving

MLflow

OpenAI

Claude

Vertex AI

Job description

Accenture is seeking an AI Native Engineer to embed with clients as a technologist and trusted advisor, delivering GenAI at scale. You will define use cases, prototype rapidly, and deploy agentic workflows that are robust, secure, and operational in complex enterprises.

You will lead design workshops and production deployments, working across finance, healthcare, and retail sectors while leveraging Mosaic AI, LangChain, HuggingFace, DSPy, and cloud platforms.