Forward Deployed Engineer - Databricks

About the role

Deloitte seeks Forward Deployed Engineers (FDE) who can help clients transform AI ambitions into impactful enterprise solutions. This role combines product, engineering, and client impact, requiring a practitioner skilled in rapid solution development and stakeholder engagement.

Responsibilities

• Embed with clients to understand business needs and develop high-value GenAI solutions.
• Partner with leaders and engineers to align priorities and deliver solutions.
• Lead client-focused working sessions to shape and deliver AI solutions.
• Build and deploy AI-enabled solutions using Databricks and related technologies.
• Contribute to reusable assets and contribute to MLOps/LLMOps practices.

Requirements

• Bachelor's degree (or equivalent) in Computer Science, Data Science, or Engineering.
• 3+ years of experience in software engineering, data engineering, data science, or analytics engineering.
• 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions.
• 1+ years of experience with Databricks, including hands-on experience with relevant technologies.
• 1+ years of experience leading project workstreams and translating business problems into AI solutions.
• Ability to travel up to 50% based on work needs and client locations.

Qualifications

• Experience with cloud environments and common platform services.
• Demonstrated ability to work directly with client technical teams and stakeholders.
• Experience with data engineering tools like Spark, Airflow/dbt, and MLflow.
• Knowledge of MLOps/LLMOps practices such as model monitoring and prompt management.
• Experience integrating LLM solutions with enterprise systems.
• Familiarity with security, privacy, and compliance considerations.

Preferred Qualifications

• Experience with AWS, Azure, and Google Cloud.
• Data engineering experience with Spark, Airflow/dbt, streaming, data modeling, or ML/data science background.
• Feature engineering, experimentation, and model evaluation experience.
• Experience with APIs, microservices, or event-driven architectures.
• Experience operating within hybrid onshore/offshore teams.
• Familiarity with security, privacy, and compliance considerations.

Benefits

The role offers competitive compensation and benefits, including participation in a discretionary annual incentive program based on individual and organizational performance.

Pay

The wage range for this role is $134,500 to $265,100, taking into account various factors including skill sets, experience, and organizational needs.

Schedule

Travel is expected to be approximately 50% of the time, based on the nature of the work and client locations.