Forward Deployed Engineer – Databricks - Forensic Discovery & Financial Crime

Deloitte Deloitte · Consulting

This role focuses on designing, building, and implementing AI-enabled applications and data solutions in enterprise environments, combining software engineering, data engineering, and client-facing delivery to move solutions from concept to production, with an emphasis on accelerating the adoption of generative AI capabilities. The role involves collaborating with clients, designing and integrating AI applications and models, using AI-assisted development, leading production deployments, and troubleshooting performance issues.

What you'd actually do

  1. Collaborate with client stakeholders to define business needs, operational constraints, priority use cases, and measurable success criteria.
  2. Design, build, and integrate AI-enabled applications, application programming interfaces (APIs), machine learning models, data pipelines, and microservices tailored to client environments.
  3. Use AI-assisted development workflows to accelerate delivery while maintaining code quality, security, and maintainability.
  4. Lead implementation activities required to move solutions into production, including architecture, security, privacy, and access reviews.
  5. Troubleshoot technical and integration issues and optimize performance across Databricks and cloud-based enterprise environments.

Skills

Required

  • 3+ years of experience in software engineering, data engineering, data science, analytics engineering, or technical delivery roles
  • 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 workstreams 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 average, based on t

Nice to have

  • 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 workstreams
  • 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

What the JD emphasized

  • AI-enabled applications
  • AI-enabled solutions
  • AI-assisted development workflows
  • artificial intelligence (AI), generative artificial intelligence (GenAI), or large language model (LLM)-powered solutions
  • AI-assisted development tools
  • engineering guardrails

Other signals

  • design, build, and implement AI-enabled applications
  • accelerate adoption of generative AI capabilities
  • designing, deploying, and scaling AI-enabled solutions
  • building and deploying artificial intelligence (AI), generative artificial intelligence (GenAI), or large language model (LLM)-powered solutions in client or production environments