Accenture

AI Engineer - Forward Deployed Engineer - Databricks - Reinvention Centers

Accenture$73K — $220K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Minimum 4 years in engineering on Databricks and large-scale big data projects.
  • At least 5 years in Python, Java, or similar programming languages.
  • 1 year experience in designing and shipping agentic AI solutions in production.
  • 1 year experience with AI platforms like OpenAI and Databricks AI tooling.
  • 2 years in deploying CI/CD pipelines and MLOps/LLMOps processes.
  • Bachelor's degree or equivalent work experience (minimum 12 years).

Responsibilities

  • Design and engineer enterprise-ready AI agents with security and observability features.
  • Build RAG and multi-agent systems on Databricks and manage data through Unity Catalog.
  • Develop data foundations feeding production AI from Delta Lake and Unity Catalog.
  • Tailor agentic applications for diverse industries such as finance and healthcare.
  • Conduct design workshops and collaborative sessions with client stakeholders.
  • Measure agent performance metrics including accuracy and latency.
  • Process large datasets on Databricks using Apache Spark.

Benefits

  • Medical, dental, and vision coverage.
  • Life and long-term disability insurance.
  • 401(k) retirement plan with contributions.
  • Bonus opportunities.
  • Paid holidays and vacation time.
Full Job Description
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 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 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 efectiveness.
• 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.

This is a hybrid role in Dallas, TX and requires 3 days per week in the office. May consider qualified applicants in Columbus, OH; Tampa, FL; Atlanta, GA; Houston, TX.

Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.

Here's What You Need:
  • Minimum 4 years of engineering experience on Databricks and large-scale big data projects (Delta Lake, DLT, Apache Spark, Unity Catalog). You’ve also built API layers that expose 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 experience in designing and shipping agentic AI solutions in production.
  • Minimum 1 year experience in 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 experience in 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 (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)


Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 07/05/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range

California $73,800 to $220,400

Cleveland $68,300 to $176,300

Colorado $73,800 to $190,400

District of Columbia $78,500 to $202,700

Illinois $68,300 to $190,400

Maryland $73,800 to $190,400

Massachusetts $73,800 to $202,700

Minnesota $73,800 to $190,400

New York $68,300 to $220,400

New Jersey $78,500 to $220,400

Washington $80,200 to $202,700

About Accenture

Accenture plc is a multinational professional services company that provides services in strategy, consulting, digital, technology, and operations. The company has more than 537,000 employees serving clients in more than 120 countries. Accenture operates across five business segments: Communications, Media & Technology; Financial Services; Health & Public Service; Products; and Resources. The company is headquartered in Dublin, Ireland, and has offices worldwide.
Learn more about Accenture
Size
624,000 employees
Market Cap
$173.8 billion
Industry
Net Income
$5.2 billion
Founded
1989
5 Year Trend
+11.2%
Revenue
$44.7 billion
NASDAQ

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