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AI and Data Engineer

Job in Tampa, Hillsborough County, Florida, 33646, USA
Listing for: Accenture-Federal-Services-2
Full Time position
Listed on 2026-10-24
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 89000 - 170200 USD Yearly USD 89000.00 170200.00 YEAR
Job Description & How to Apply Below

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people.

Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands‑on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

We are seeking an experienced Data Scientist to work directly with users, technical teams, and mission/business stakeholders to rapidly design, prototype, and deploy data-driven applications. This role is ideal for a Data Scientist who enjoys operating at the intersection of software engineering, data, application development, and customer requirements. The candidate will translate operational challenges and loosely defined requirements into functional Palantir solutions, rapidly prototype concepts with end users, and iteratively mature successful prototypes into scalable applications.

The successful candidate should have hands‑on experience developing applications within large platform development with experience using Workshop, Ontology, Objects, Models, and Custom Widgets.

Key Responsibilities
  • Partner directly 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 allow operational users to interact with complex data without requiring deep technical knowledge.
  • Develop and configure Ontology Objects, Object Types, Properties, Relationships, Actions, and associated application logic.
  • Develop solutions leveraging 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 fully satisfy user or mission requirements.
  • Rapidly develop proofs of concept (POCs), minimum viable products (MVPs), and prototypes to validate requirements and demonstrate potential solutions.
  • Conduct iterative development sessions with users, gathering feedback and quickly incorporating 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 with underlying datasets, pipelines, Ontology Objects, models, APIs, and services.
  • Troubleshoot application, Ontology, data, and integration issues across environments like Palantir, Databricks, etc.
  • 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.
Qualifications
  • Experience with one or more of the following:
    • Palantir AIP and AI‑enabled application development.
    • AIP Logic or AI‑assisted workflows.
    • Large language models (LLMs), RAG, or AI‑enabled applications.
    • API and external‑system integrations.
    • Advanced Ontology…
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