AI and Data Science Engineer II - Security Clearance Required

Deloitte • Arlington, VA

5d • $102,500 - $170,900 • Onsite

About The Position

Join Deloitte’s AI & Engineering team to help clients modernize technology platforms, accelerate innovation, and drive business outcomes. In this role on the Government & Public Services (GPS) AI & Data team, you will design, develop, and deploy data and AI solutions that support client missions. You will work with multidisciplinary professionals to build scalable platforms, analytics products, and data pipelines that enable enterprise transformation and measurable client impact.

The role involves designing data pipelines, machine-learning models, and AI-enabled applications; translating mission and business requirements into technical designs and implementation plans; and developing, testing, deploying, and monitoring scalable analytics and AI solutions using software engineering and MLOps practices. You will collaborate with product, engineering, analytics, and client stakeholders to integrate data and AI capabilities into platforms and business processes. You will also document solution architecture, model performance, data lineage, and operational procedures for delivery, governance, and sustainment.

The position is based in Rosslyn, Virginia. The posting states that employees can expect to co-locate on average up to five times a week, depending on work and client locations, and travel up to 25% on average. Candidates must live within commuting distance of their assigned office and hold an active Secret clearance or higher. The estimated salary range is $102,500 to $170,900, and the role may be eligible for a discretionary annual incentive program.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or Information Systems.
• At least 3 years of experience developing data pipelines, machine-learning models, or artificial intelligence applications using Python and SQL.
• At least 1 year of experience using Git and continuous integration/continuous delivery pipelines to deploy software, data, or machine-learning solutions.
• Active Secret Security Clearance or higher.
• Must reside within commuting distance of the assigned office and be able to commute daily if required, without overnight accommodations.
• Ability to co-locate on average up to five times a week, with variation based on work, projects, and client locations.
• Ability to travel up to 25% on average.
• Must be legally authorized to work in the United States without employer sponsorship now or in the future.
• Ability to work independently and collaboratively 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.
• Strong interpersonal skills and professional demeanor.

Nice To Haves

• Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or Information Systems.
• At least 1 year of experience deploying models through managed cloud services on Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
• At least 2 years of experience using Databricks or Palantir for data engineering or analytics workflows.
• At least 1 year of experience with natural language processing, large language models, or generative artificial intelligence.
• At least 1 year of experience implementing MLOps practices for model monitoring, versioning, and deployment.
• At least 1 year of experience delivering data, analytics, or artificial intelligence solutions for federal, state, or local government, or public higher education clients.

Responsibilities

• Design and build data pipelines, machine-learning models, and AI-enabled applications using Python, SQL, and cloud-based services.
• Translate mission and business requirements into technical designs, data models, and implementation plans.
• Develop, test, deploy, and monitor scalable analytics and artificial intelligence solutions using software engineering and machine-learning operations practices.
• Collaborate with product, engineering, analytics, and client stakeholders to integrate data and AI capabilities into platforms and business processes.
• Document solution architecture, model performance, data lineage, and operational procedures to support delivery, governance, and sustainment.
• Lead projects or workstreams and provide clear guidance to others.
• Manage and prioritize multiple tasks in a fast-paced, dynamic environment while meeting deadlines.

Benefits

• May be eligible to participate in a discretionary annual incentive program.
• Broad range of employee benefits.
• Opportunities for professional development, including on-the-job learning, formal development programs, leadership opportunities, and mentorship.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level