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Sr. AI Engineer - Forward Deployed Engineer Manager· Databricks · Reinvention Centers at Accenture LLP Company · Katori

Asks for

The ad says“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.”
The ad says“Process large-scale distributed datasets on the Databricks Intelligence Platform with Apache Spark™.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“Minimum 10 years of experience in Python, Java, or equivalent. Comfortable with evaluation tooling, logging, monitoring, and observability.”
The ad says“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.”
The ad says“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.”
The ad says“Minimum 10 years of experience in Python, Java, or equivalent. Comfortable with evaluation tooling, logging, monitoring, and observability.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“Minimum 10 years of experience in Python, Java, or equivalent. Comfortable with evaluation tooling, logging, monitoring, and observability.”
The ad says“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.”
The ad says“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.”
The ad says“Minimum 10 years of experience in Python, Java, or equivalent. Comfortable with evaluation tooling, logging, monitoring, and observability.”
The ad says“Minimum 10 years of experience in Python, Java, or equivalent. Comfortable with evaluation tooling, logging, monitoring, and observability.”
The ad says“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.”
The ad says“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.”
The ad says“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.”

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 10/02/2026.

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 $94,400 to $293,800

Colorado $94,400 to $253,800

Connecticut $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

Ohio $87,400 to $235,000

Virginia $87,400 to $270,300

Washington $100,500 to $270,300

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.

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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, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the  Accenture Equal Opportunity Statement

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.

Other Employment Statements

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.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

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.

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