AI Engineer - Forward Deployed Engineer Associate Manager · Databricks · Reinvention Centers

Accenture; Columbus (OH); Hybrid; USD 68,300 - 209,200; Full time

Benefits offered by this job

Medical, dental, vision coverage

401(k) plan

Bonus opportunities

Paid time off

Job summary

Accenture is looking for an AI Native Engineer based in Columbus, OH or nearby to design and engineer enterprise-ready AI agents. Ideal candidates should have strong experience in developing GenAI solutions on the Databricks platform and at least 5 years of experience in Python or Java.

This hybrid role involves client interaction, rapid prototyping, and deploying agentic applications across various industries like finance and healthcare. Compensation varies depending on experience and office location, with additional market competitive benefits offered.

Qualifications

• Minimum 4 years of engineering experience on Databricks and large-scale big data projects.
• Minimum 5 years of experience in Python, Java, or equivalent.
• Minimum 1 year of experience in designing and shipping agentic AI solutions in production.

Responsibilities

• Design and engineer enterprise-ready AI agents.
• Build RAG and multi-agent systems on Databricks.
• Conduct design workshops, proofs of concept, and code-with sessions.

Skills

Engineering on Databricks

Python

Java

MLOps

Large-scale big data projects

Education

Bachelor's degree or equivalent work experience

Tools

Databricks

Unity Catalog

Apache Spark

Terraform

MLflow

Job description

About the Role

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.

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: Embed directly with clients as both technologist and trusted advisor. 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 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.

What You Need

• Minimum 4 years of engineering experience on Databricks and large‑scale big data projects (Delta Lake, DLT, Apache Spark, Unity Catalog). 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 & Benefits

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. Below are approximate ranges for selected locations.

• California $73,800 to $261,500
• Cleveland $68,300 to $209,200
• Colorado $73,800 to $225,900
• District of Columbia $78,500 to $240,600
• Illinois $68,300 to $225,900
• Maine $62,800 to $192,500
• Maryland $73,800 to $225,900
• Massachusetts $73,800 to $240,600
• Minnesota $73,800 to $225,900
• New York $68,300 to $261,500
• New Jersey $78,500 to $261,500
• Virginia $68,300 to $240,600
• Washington $80,200 to $240,600

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.

Location & Travel

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.

Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed.

Equal Employment Opportunity

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, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Accenture is an EEO and affirmative action employer of veterans/individuals with disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Legal and Other Statements

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company’s legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.