Job description

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 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 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 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 the work you do and the clients and industries/sectors you serve • Limited immigration sponsorship may be available Preferred: • Experience supporting anti-money laundering (AML), fraud, financial crime, investigations, or compliance technology use cases • Experience with Spark, Airflow, dbt, streaming, data modeling, feature engineering, experimentation, or model evaluation • Experience with machine learning operations (MLOps) or large language model operations (LLMOps), including evaluation frameworks, model monitoring, or prompt management • Experience integrating LLM-based solutions with enterprise systems through APIs, microservices, or event-driven architectures • Experience delivering software within enterprise security and compliance processes, such as security and architecture design reviews, data and privacy impact assessments, and identity and access management • Working knowledge of how modern large language models behave in applications, including tool and function calling, structured outputs, evaluation of model outputs, and the trade-offs between generative and deterministic approaches Information for applicants with a need for accommodation: www2.deloitte.com The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is   $134500 to $265100.

Requirements

Must-haves

Senior Consultant - Forward Deployed Engineer (FDE) – Databricks
Recruiting for this role ends on 9/30/2026
Work you’ll do
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 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

Nice-to-haves

Experience supporting anti-money laundering (AML), fraud, financial crime, investigations, or compliance technology use cases
Experience with Spark, Airflow, dbt, streaming, data modeling, feature engineering, experimentation, or model evaluation
Experience with machine learning operations (MLOps) or large language model operations (LLMOps), including evaluation frameworks, model monitoring, or prompt management
Experience integrating LLM-based solutions with enterprise systems through APIs, microservices, or event-driven architectures
Experience delivering software within enterprise security and compliance processes, such as security and architecture design reviews, data and privacy impact assessments, and identity and access management

Application prep

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Keywords to mirror

aimachine learningawsazurellm

Platform: avature
Effort: medium