Forward Deployed Engineer – Databricks – Forensic Discovery & Financial Crime

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Company Overview

A leading global professional services organization helps enterprises transform business operations through advanced technology, artificial intelligence, cloud platforms, and data-driven solutions. The company works with organizations across industries to solve complex challenges, accelerate innovation, and implement scalable digital transformation initiatives. Its forensic, discovery, and financial crime practice supports clients in combating financial crime, conducting investigations, managing compliance requirements, and leveraging emerging technologies to address evolving risks.

An organization is seeking a Senior Consultant – Forward Deployed Engineer (FDE) – Databricks to work closely with clients in designing, building, and deploying AI-enabled applications and data solutions. This role combines software engineering, data engineering, and client-facing delivery responsibilities to help organizations transform artificial intelligence opportunities into scalable business solutions.

Key Responsibilities

• Collaborate with client stakeholders to define business needs, operational constraints, priority use cases, and measurable success criteria.
• Design, build, and integrate AI-enabled applications, APIs, machine learning models, data pipelines, and microservices tailored to client environments.
• Utilize AI-assisted development workflows to accelerate solution delivery while maintaining quality, security, and maintainability.
• Lead implementation activities required for production deployment, including architecture, security, privacy, and access reviews.
• Troubleshoot technical and integration challenges while optimizing performance across Databricks and cloud-based enterprise environments.
• Translate complex technical concepts into business value for client stakeholders.
• Support the deployment and scaling of AI-powered solutions addressing business and technology challenges.

Required Qualifications

• Bachelor’s degree or equivalent experience in Computer Science, Data Science, Engineering, or a related field.
• 3+ years of experience in software engineering, data engineering, data science, analytics engineering, or technical delivery roles.
• Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), or comparable services.
• 1+ years of experience with Databricks, including hands-on experience with technologies such as DBRX, MLflow, Vector Search, or Databricks AI Gateway.
• 1+ years of experience leading project workstreams or client engagements.
• 1+ years of hands-on experience building and deploying AI, Generative AI, or Large Language Model (LLM)-powered solutions in production environments.
• Demonstrated proficiency developing production-grade software using AI-assisted development tools while maintaining engineering best practices.
• Experience presenting, defending, and refining technical architectures with stakeholders.
• Strong written and verbal communication skills.
• Ability to travel up to 50% based on project and client requirements.

Preferred Qualifications

• Experience supporting anti-money laundering (AML), fraud prevention, financial crime, investigations, or compliance technology initiatives.
• Experience with Spark, Airflow, dbt, streaming technologies, data modeling, feature engineering, experimentation, or model evaluation.
• Experience with Machine Learning Operations (MLOps) or Large Language Model Operations (LLMOps).
• Experience integrating LLM-powered solutions with enterprise systems through APIs, microservices, or event-driven architectures.
• Experience delivering software within enterprise security, privacy, and compliance frameworks.
• Working knowledge of modern LLM capabilities, including tool calling, structured outputs, model evaluation, and the trade-offs between generative and deterministic approaches.

Key Skills

• Ability to work independently and collaboratively within cross-functional teams.
• Strong project leadership and stakeholder management capabilities.
• Excellent interpersonal and professional communication skills.
• Strong attention to detail and commitment to high-quality deliverables.
• Ability to manage multiple priorities in fast-paced environments.
• Proven ability to build and maintain professional relationships.
• Ability to provide technical guidance and mentorship.
• Strong organizational and deadline-management skills.

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