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Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime

Job in Buckeye, Maricopa County, Arizona, 85326, USA
Listing for: PowerToFly
Full Time position
Listed on 2026-07-13
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 134500 - 265100 USD Yearly USD 134500.00 265100.00 YEAR
Job Description & How to Apply Below

Senior Consultant – Forward Deployed Engineer (FDE) – Databricks

Forward Deployed Engineers at Deloitte work alongside clients to help turn artificial intelligence opportunities into scalable business solutions. As a Senior Consultant – Forward Deployed Engineer (FDE), you will design, build, and implement AI-enabled applications and data solutions in enterprise environments. This role combines software engineering, data engineering, and client-facing delivery to help move solutions from concept to production. If you can translate technical complexity into business value, this role offers the opportunity to help clients accelerate adoption of generative AI capabilities.

Recruiting for this role ends on 9/30/2026

Work you'll do

As a Senior Consultant – Forward Deployed Engineer (FDE) – Databricks on the Forensic, Discovery, & Financial Crime team, you will be responsible for designing, deploying, and scaling AI-enabled solutions that help clients address complex business and technology needs.

  • Collaborate with client stakeholders to define business needs, operational constraints, priority use cases, and measurable success criteria.
  • Design, build, and integrate AI-enabled applications, application programming interfaces (APIs), machine learning models, data pipelines, and microservices tailored to client environments.
  • Use AI-assisted development workflows to accelerate delivery while maintaining code quality, security, and maintainability.
  • Lead implementation activities required to move solutions into production, including architecture, security, privacy, and access reviews.
  • Troubleshoot technical and integration issues and optimize performance across Databricks and cloud-based enterprise environments.
  • Create reusable assets, document workflows and support processes, and help client teams build the capabilities needed to sustain and extend delivered solutions.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or work streams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others
The team

Our Forensic, Discovery, & Financial Crime offering provides services to support anti-money laundering, discovery, business disputes, and investigations. We help protect brands from financial crime and other corporate misconduct, as well as empower organizations with advanced tradecraft and technology to combat emerging and evolving threats.

Qualifications

Required:

  • 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, with experience in Amazon Web Services (AWS), Microsoft Azure, Google Cloud, or comparable cloud platform services
  • 1+ years of experience with Databricks, including hands-on experience with one or more of the following: DBRX, MLflow, Vector Search, or Databricks AI Gateway
  • 1+ years of experience leading project work streams or client engagements, including translating business requirements into technical solutions and aligning delivery priorities with stakeholders
  • 1+ years of hands-on experience building and deploying artificial intelligence (AI), generative artificial intelligence (GenAI), or large language model (LLM)-powered solutions in client or production environments
  • Demonstrated proficiency building and shipping production code with AI-assisted development tools, including the judgment to direct, review, and correct AI-generated output and to maintain engineering guardrails such as code review, testing, type checking, and linting
  • Experience presenting, defending, and iterating on technical designs and architectures with client and internal stakeholders, and incorporating feedback through to delivery
  • Ability to travel 50%, on…
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