AI and Data Engineer

Accenture Federal Services•Tampa, FL
•$89,000 - $170,200

About The Position

Accenture Federal Services is seeking an experienced Data Scientist to work directly with users, technical teams, and mission and business stakeholders to design, prototype, and deploy data-driven applications. The role operates at the intersection of software engineering, data, application development, and customer requirements. The successful candidate will translate operational challenges and loosely defined requirements into functional Palantir solutions, rapidly prototype concepts with end users, and develop successful prototypes into scalable applications. Hands-on experience developing applications on large platforms, including Palantir Workshop, Ontology, Objects, Models, and Custom Widgets, is expected. The Data Scientist/Palantir Engineer will partner with users and technical stakeholders, develop intuitive interfaces and Ontology-based solutions, integrate models and external systems, and conduct iterative development with users. The role also includes troubleshooting, documentation, demonstrations, testing, and supporting the deployment of prototypes into operational or production environments. An active TS/SCI clearance is required. The position’s stated base pay range for the listed states and the District of Columbia is $89,000–$170,200 USD. Accenture Federal Services describes its workplace as collaborative and supportive, with opportunities to grow and learn through hands-on experience, certifications, and industry training. Benefits are offered, but specific benefits are not enumerated in the posting.

Requirements

  • An active TS/SCI clearance is required.
  • Experience with one or more of the following: Palantir AIP and AI-enabled application development; AIP Logic or AI-assisted workflows; large language models, RAG, or AI-enabled applications; API and external-system integrations; advanced Ontology modeling; TypeScript/React-based Custom Widget development; data pipeline development or transformation; Agile/Scrum development environments; Jira, Git, or similar development-management tools; or government, defense, intelligence, logistics, workforce, financial, or other mission-oriented data environments.

Responsibilities

  • Partner with end users, product owners, analysts, and technical stakeholders to understand mission and business challenges and translate them into technical requirements.
  • Build intuitive user experiences that let operational users work with complex data without requiring deep technical knowledge.
  • Develop and configure Ontology Objects, Object Types, Properties, Relationships, Actions, and related application logic.
  • Develop solutions using Palantir’s Envision Ontology to represent operational entities, relationships, workflows, and business processes.
  • Configure and integrate models and model outputs into user-facing applications and workflows.
  • Develop and integrate Custom Widgets when native application components do not meet user or mission requirements.
  • Rapidly build proofs of concept, minimum viable products, and prototypes to validate requirements and demonstrate potential solutions.
  • Conduct iterative development sessions with users, gather feedback, and incorporate changes into application designs.
  • Translate ambiguous or evolving stakeholder requirements into clearly defined technical solutions.
  • Work with data engineers and platform teams to connect application functionality to datasets, pipelines, Ontology Objects, models, APIs, and services.
  • Troubleshoot application, Ontology, data, and integration issues across environments such as Palantir and Databricks.
  • Participate in solution demonstrations, design sessions, technical reviews, and user acceptance testing.
  • Document solution architecture, application configurations, Ontology designs, requirements, workflows, and technical decisions.
  • Support deployment and transition of successful prototypes into operational or production environments.
  • Follow established development, configuration management, testing, security, and release-management practices.

Benefits

  • The company offers benefits, but the posting does not specify them.
  • Hands-on experience, certifications, and industry training are described as opportunities for employee growth and learning.
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