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Senior AI Engineer, Finance AI & Automation
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Closed listing

ICF

Platform Enablement Engineer

Reston, VA, United States
Montgomery, AL, United States
Charlotte, NC, United States

Remote

$61,232.00 - $104,094.00

This opening has closed.

The original listing is kept below for reference.

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Job details

Pay: $61,232.00 - $104,094.00
Workplace: Remote
Experience: Minimum 3 years of relevant experience providing customer-facing technical support and troubleshooting.
Posting language: English
Posted: Nov 10, 2026

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Original job description

Archived listing. The details below describe a past opening.

Description Please note: This role is contingent upon a contract award. While it is not an immediate opening, we are actively conducting interviews and extending offers in anticipation of the award.

The Work At ICF our Digital Modernization Division is an information technology and management consulting organization that delivers integrated, strategic solutions to federal clients. We bring expertise in cloud, cybersecurity, enterprise architecture, data modernization, and digital transforamation to support mission-critical government programs.

Join a team accelerating the modernization of a large federal agency's enterprise data and analytics ecosystem. This cloud-based platform provides data storage, analytics, governance, and AI/ML capabilities that enable thousands of users to transform data into actionable insights. As demand continues to grow, the team is focused on migrating legacy workloads, streamlining onboarding and support, expanding platform capabilities, and helping organizations across the enterprise adopt modern data and AI solutions at scale.

We are seeking a Platform Enablement Engineer to help customer teams successfully adopt their new cloud data platform. You’ll provide hands-on support across workspaces, access, data and analytics workflows, and AI/ML capabilities, helping customers move quickly from provisioning to productive use. You’ll troubleshoot technical issues, demonstrate platform capabilities, support onboarding and training, and coordinate with Platform, Data, Governance, AI/ML, and Security teams to resolve customer barriers.

Job Location: Remote, however, strong preference for candidates who live in the Washington DC Metro Area. There will be occasional onsite meetings on the client site in Washington, DC.

*If you accept this position, you should note that ICF does monitor employee work locations, blocks access from foreign locations/foreign IP addresses, and prohibits personal VPN connections.

What You Will Do:

Provide hands-on technical support for customer workspaces, tooling, access, and governed data use.
Guide customer teams through analytics workflows and cloud/data platform capabilities.
Support AI/ML onboarding and help customers transition from initial provisioning to productive platform use.
Troubleshoot technical barriers involving tooling, access, data, analytics workflows, and platform adoption.
Demonstrate platform capabilities directly to customer teams and explain how available tools support their workflows.
Deliver training support that helps customers build confidence and adopt platform capabilities effectively.
Coordinate technical escalations with Platform, Data, Governance, AI/ML, and Security teams.
Capture recurring issues, solutions, and reusable lessons to strengthen training and documentation.
Support customer adoption by connecting technical problem-solving with practical use of cloud, data, analytics, and AI capabilities.

Basic Qualifications

U.S. Citizenship is required due to federal contract requirements.
Candidate must reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S.
Candidate must have lived in the U.S. for three (3) full years out of the last five (5) years.
Bachelor's degree in Data Management, Information Systems, Data Governance, Business Analytics, Computer Science, Library/Information Science, or related field; or a high school diploma with four (4) additional years of relevant experience in lieu of a bachelor's degree.
Minimum 3 years of relevant experience providing customer-facing technical support and troubleshooting.
Master's degree may substitute for two (2) years of relevant experience.

Preferred Qualifications

Experience supporting cloud-based data and analytics platforms, including Azure and Databricks environments.
Experience troubleshooting workspace configuration, user access, permissions, data access, and technical workflows.
Experience supporting analytics, data engineering, and AI/ML use cases and helping users adopt platform capabilities.
Experience delivering technical demonstrations, onboarding, training, and hands-on customer enablement.
Familiarity with data governance, security, and access controls in enterprise cloud environments.
Ability to troubleshoot across platform components and effectively coordinate issues with Platform, Data, AI/ML, Governance, and Security teams.

Professional Skills:

Highly effective analytical, problem-solving, and decision-making capabilities.
Excellent written and verbal communication skills, with the ability to work effectively across technical and non-technical audiences.
Strong organization, attention to detail, and the ability to prioritize and manage multiple responsibilities.
Collaborative approach with a commitment to quality, accountability, and continuous improvement.
Experience supporting governed data use and working within data governance requirements.
Experience onboarding users or teams to AI/ML workflows or capabilities.
Experience coordinating escalations across Platform, Data, Governance, AI/ML, and Security stakeholders.
Experience converting troubleshooting insights and customer feedback into reusable documentation or training materials.

#Indeed

Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.

We will consider for employment qualified applicants with arrest and conviction records.

Work Authorization and Sponsorship All candidates must be authorized to work in the United States. This position is not eligible for new H-1B visa sponsorship by ICF. Candidates who currently hold valid work authorization may be considered for a change of employer petition, subject to company policy and applicable immigration requirements.

Reasonable Accommodations Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.

Bot and Third-Party Applications Please note that this application must be submitted directly by the applicant for consideration. Failure to do so may result in the application being excluded for consideration. Applicants needing an accommodation for disability or religious purposes in connection with the application process should contact Candidateaccommodation@icf.com for assistance.

Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.

Pay Range There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$61,232.00 - $104,094.00

Nationwide Remote Office (US99)

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