Forward Deployed Technical Consultant-Databricks: AI&Data Advanced Technology Centers

Accenture PLC; Washington (District of Columbia); Hybrid; USD 53,000 - 88,000; Full time

Job summary

Accenture is seeking a Forward Deployed Technical Consultant—Databricks to design, build, and operationalize AI/ML solutions for enterprise clients. You will deploy models with cloud services, create scalable data pipelines, and ensure production-grade reliability across the Databricks platform.

The role requires collaboration with analytics, data science, and cloud teams, with a hybrid work model in Canada and office presence three days a week as needed.

Qualifications

• Bachelor’s degree or college program in a related discipline.
• Minimum 3 years of experience with Microsoft Azure cloud data services.
• Minimum 3 years hands-on Databricks experience: PySpark, Delta Lake, Auto Loader, Lakehouse Medallion Architecture.
• Experience with Git-based version control and CI/CD pipelines (Azure DevOps or GitHub Actions).
• Minimum 3 years of experience in computer science fundamentals, architecture, and programming.
• Minimum 1 year in distributed computing systems and cloud compute architectures.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Architect and maintain scalable data pipelines using Azure Databricks and Spark.
• Design lakehouse architecture with Bronze, Silver, Gold layers.
• Build autonomous agents using Databricks Mosaic AI Agent Framework and LangChain/AutoGen.
• Develop vector search indexes for accurate context retrieval.
• Design AI agents with retrieval, orchestration, tools, evaluation, and observability.
• Process large-scale datasets on the Databricks platform for training and production.
• Develop ML algorithms and infrastructure for model training and production with MLOps.
• Customize Deep Learning/Gen AI models for business use cases.
• Engage in R&D of new AI/compute algorithms and simulations.
• Collaborate with cross-functional teams to deliver end-to-end solutions.

Skills

Azure data services

Databricks PySpark

Delta Lake

Auto Loader

Lakehouse Architecture

Git-based version control

CI/CD pipelines

Azure DevOps

GitHub Actions

CS fundamentals

Programming

Distributed computing

Education

Bachelor’s degree

Tools

Git

Azure DevOps

GitHub Actions

Databricks

Delta Lake

Spark

Job description

English-1st. Relocation-friendly. Curated daily by Imagine.

43,596 Jobs at 98 Companies

Forward Deployed Technical Consultant-Databricks: AI&Data Advanced Technology Centers

Accenture

Forward Deployed Technical Consultant-Databricks: AI&Data Advanced Technology Centers

AI/ML Computational Science Team Lead/Consultant | Mid-Level | Full time

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:

As a Forward Deployed Technical Consultant-Databricks, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. You will design, build, and operationalize enterprise-grade data and agentic AI solutions in Databricks and Azure Data Services. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. You will design and implement autonomous agents using Databricks Mosaic AI Agent Framework and frameworks like LangChain or AutoGen.

You’ll work closely with analytics, data science, and cloud teams to ensure reliable, high-performance data delivery for the clients we serve.

THE WORK

• Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions
• Architect, develop, and maintain scalable, low-latency data pipelines to ingest and transform diverse datasets leveraging Azure Databricks workflows and Spark technologies.
• Design and optimize lakehouse architecture using Delta Lake tables following Bronze, Silver, and Gold layers to ensure efficient, reliable, and governed data storage.
• Design and implement autonomous agents using Databricks Mosaic AI Agent Framework and frameworks like LangChain or AutoGen
• Build and optimize vector search indexes using Databricks Vector Search for accurate context retrieval.
• Design AI agents with retrieval, orchestration, tool invocation, evaluation harnesses, and lifecycle observability.
• Process large-scale distributed datasets on the Databricks Intelligence Platform with Apache Spark.
• Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps
• Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC
• Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites
• Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production
• Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools
• Justify the value of model approaches in business problems
• Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production

This is a hybrid role in Mississauga/Montreal and requires 3 days per week in the office/client location

BASIC (REQUIRED) QUALIFICATION

• Bachelor’s degree or completion of a college program in a related discipline
• Minimum 3 years of experience working with Microsoft Azure cloud data services.
• Minimum 3 years of hands‑on experience with Databricks : PySpark, Delta Lake, Auto Loader, Lakehouse Medallion Architecture (Bronze, Silver, Gold).
• Experience with Git‑based version control and CI/CD pipelines (Azure DevOps or GitHub Actions).
• Minimum of 3 years of experience in applying theoretical foundations of computer science, including computer system architecture, and programming
• Minimum of 1 years of experience in distributed computing systems and architecture that may include big data, high‑performance compute, scientific compute, grid and cloud computing, distributed networks

English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English‑speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

#LI-NA-FY25 #LI-MP

PREFERRED QUALIFICATION

• Proficiency in Python and python‑based AI/ML framework and familiarity with relevant libraries and frameworks.
• Experience working with language models like LLM's APIs and optimizing their usage for specific applications.
• Experience in MLOps/LLMOps (CI/CD for ML and LLM Lifecycle)
• Databricks certified Data Engineer Professional (2025)
• Strong written & verbal communication skills and ability to communicate complex technical concepts to non‑technical stakeholders
• Strong cross‑functional skills with the ability to collaborate with a variety of internal and client‑side teams

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, based on full-time
employment, for roles that may be hired as set forth below.
The recruiting efforts for this position are intended to fill a brand new position.
The base pay range shown below is intended as a guideline to reflect the majority of offers for this role.
It does not represent a maximum limit — in some cases, actual compensation may exceed the range where appropriate.

https://www.accenture.com/ca-en/careers/local/benefits

Role Location Annual Salary Range British Columbia/Ontario/New Brunswick $75,400 to $125,400

Requesting an Accommodation

Accenture is committed to providing equal employment opportunities, 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 require accommodation during the recruitment, assessment or selection process for a disability or other protected ground under applicable human rights legislation, please notify your recruiter or contact us toll free at 1 [phone].

Equal Employment Opportunity Statement

All employment decisions shall be made without discrimination based on any characteristic protected by applicable federal, provincial or territorial human rights legislation, including age, race, creed, color, ethnic origin, religion, sex, place of origin, ancestry, disability status, sexual orientation, gender identity or expression, genetic information, marital status, family status, citizenship, record of offences (where applicable) or any other protected ground.

Job candidates will not be obligated to convictions for which a record suspension (formerly known as a pardon) has been granted, except as permitted or required by applicable law.

Accenture is committed to supporting current and former members of the Canadian Armed Forces and other veterans.

It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve clients, our employees must be available to travel when needed.

To provide you with the most effective recruiting process, Accenture may use artificial intelligence to create insights on how your candidate information matches the requirements of the role you have applied to. The final decision will always be taken by the hiring team after considering your candidate profile in full. During the application process, you can choose to opt out of this artificial intelligence screening process and be rest assured that this will not negatively impact your opportunity for employment with Accenture.

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.

At Accenture, we see well‑being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.

Imagine Foundation e.V.Made with in Berlin.