Sr. AI Engineer - Forward Deployed Engineer Senior Manager· Databricks · Reinvention Centers

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

A Senior AI Native Engineer who builds, leads, and scales world-class AI/ML professional services on the Databricks Intelligence Platform. You develop executive relationships with VP , CIO, and CDO stakeholders as a trusted advisor on complex AI transformations, align with Field Engineering and Sales Leaders on strategic accounts, and shape cross-functional influence across Product, R&D, and GTM. You lead AI PS initiatives, design reusable engagement models for global repeatability, own OKRs for AI-services led accounts, and represent Databricks as a thought leader in AI/ML.

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. • Architect AI-native solutions on Databricks (Mosaic AI, Vector Search, Model Serving, MLflow) with Unity Catalog governance, scaling reusable patterns across customer engagements.

• Establish Lakehouse data foundations (Delta Lake, DLT, Unity Catalog) that power production AI across customer portfolios.

• Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration.

• Leverage containerization, microservices, serverless, and event-driven architectures to deliver scalable AI-native systems.

• 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.

This is a hybrid role in Dallas, TX and requires 4 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 10 years of 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 10 years of experience in Python, Java, or equivalent. Comfortable with evaluation tooling, logging, monitoring, and observability.

• Minimum 10 years of experience deploying and operating production systems with CI/CD, infrastructure as code, and observability tooling. Practical MLOps and LLMOps experience: CI/CD across the ML and LLM lifecycle covering model training, evaluation harnesses, model serving, monitoring, and prompt management.

• Minimum 1 year experience in designing and shipping agentic AI solutions in production.

• Minimum 1 year of experience with agentic orchestration tools (LangGraph, CrewAI, AutoGen, or similar). Hands on with Databricks AI tooling: Mosaic AI, Vector Search, Model Serving, MLflow, and Unity Catalog governance. You've built RAG and multi-agent systems on the Databricks Intelligence Platform.

• Minimum 1 year experience working with AI platforms across OpenAI, Claude, Vertex AI, and open-source models.

• 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 06/30/2026.

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 $132,500 to $366,300
Cleveland $122,700 to $293,000
Colorado $132,500 to $316,400
District of Columbia $141,100 to $337,000
Illinois $122,700 to $316,400
Maryland $132,500 to $316,400
Massachusetts $132,500 to $337,000
Minnesota $132,500 to $316,400
New York $122,700 to $366,300
New Jersey $141,100 to $366,300
Washington $141,100 to $337,000

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