Sr. AI Engineer - Forward Deployed Engineer 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
• 07/27/2026. 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
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• Colorado $94,400 to $253,800 District of Columbia $100,500 to $270,300 Illinois
• $87,400 to $253,800 Maine $80,400 to $216,200 Maryland $94,400 to $253,800
• Massachusetts $94,400 to $270,300 Minnesota $94,400 to $253,800 New York $87,400
• to $293,800 New Jersey $100,500 to $293,800 Virginia $87,400 to $270,300
• Washington $100,500 to $270,300 About Accenture Accenture is a leading global
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