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Software Engineer Jobs in Irving, TX

Sr AI Developer w/Palantir

BravoTech
  • Irving, TX
  • Instant Apply
7 days ago

Job Description

Senior AI Developer/Architect – Palantir Data Engineering
BravoTECH, a leader in IT staffing and staff augmentation services, is seeking a hands-on Senior AI Developer/Architect with strong Palantir data engineering and enterprise AI experience.

This position combines approximately 70% hands-on AI development and engineering with 30% business partnership and solution leadership. The ideal candidate can build production-ready AI solutions while clearly communicating technical concepts, business value, and project outcomes to senior leaders.
Top Skills
  • Palantir Foundry and Artificial Intelligence Platform (AIP)
  • Palantir data pipelines, Ontology, and application development
  • Azure OpenAI and Azure Machine Learning
  • Generative AI, LLMs, RAG, agents, and copilots
  • Python and production-grade software development
  • Data engineering and scalable AI pipelines
  • MLOps, CI/CD, and model monitoring
  • Kubernetes, Docker, AKS, and GPU workloads
  • Cloud security and AI governance
  • Terraform, Bicep, or ARM templates
  • Business-facing communication and technical leadership
Key Responsibilities AI Development and Engineering – 70%
  • Design, build, and deploy scalable AI/ML solutions, including predictive models, generative AI, NLP, optimization, and intelligent automation.
  • Develop enterprise AI applications using Palantir Foundry, Palantir AIP, Azure OpenAI, Azure Machine Learning, and Azure AI Services.
  • Build and manage Palantir data pipelines, datasets, transformations, Ontology objects, actions, and operational workflows.
  • Integrate structured and unstructured enterprise data into Palantir for analytics, AI applications, and business decision-making.
  • Architect production-ready pipelines covering ingestion, transformation, feature engineering, model deployment, monitoring, and retraining.
  • Develop LLM-powered applications using RAG, prompt engineering, agents, copilots, vector databases, and model orchestration frameworks.
  • Write scalable, maintainable, and production-grade Python code.
  • Implement MLOps capabilities, including automated testing, CI/CD, model versioning, drift detection, performance monitoring, and lifecycle management.
  • Develop secure APIs and scalable inference endpoints for AI applications.
  • Deploy containerized and GPU-intensive workloads using Kubernetes, Docker, AKS, or Azure VM Scale Sets.
  • Integrate Palantir and AI solutions with Azure Data Factory, Azure Synapse, Databricks, APIs, and other enterprise data platforms.
  • Optimize AI and data workloads for reliability, scalability, performance, and cost efficiency.
  • Embed security, explainability, data governance, privacy, and responsible AI standards into every solution.
Business Partnership and Solution Leadership – 30%
  • Translate ambiguous business challenges into structured AI and Palantir solution designs.
  • Partner with Finance, Operations, Sales, Marketing, IT, and other business teams to identify high-value use cases.
  • Lead discovery sessions, architecture discussions, whiteboarding workshops, and technical demonstrations.
  • Explain AI concepts, Palantir capabilities, technical tradeoffs, and model outputs to non-technical stakeholders.
  • Define measurable success criteria and quantify the expected ROI of proposed solutions.
  • Prioritize AI initiatives based on business value, technical feasibility, cost, and implementation risk.
  • Provide technical leadership across AI architecture, data engineering, cloud deployment, and MLOps.
  • Mentor junior developers and help strengthen AI knowledge across the organization.
  • Evaluate emerging AI and cloud technologies and recommend scalable enterprise solutions.
Security and Governance
  • Implement RBAC, managed identities, Key Vault, private endpoints, encryption, network isolation, and least-privilege access.
  • Establish appropriate data access controls and governance within Palantir Foundry and AIP.
  • Ensure solutions comply with enterprise security, data privacy, auditability, and responsible AI requirements.
  • Monitor AI workloads for latency, utilization, model drift, failures, and operational reliability.
Required Qualifications
  • 7+ years of software development, data engineering, or cloud engineering experience.
  • 3+ years of experience building and deploying AI or machine-learning solutions in production.
  • 2+ years of hands-on Palantir Foundry data engineering experience.
  • Experience with Palantir AIP, Ontology, Pipeline Builder, data transformations, operational workflows, or related Palantir capabilities.
  • Strong proficiency in Python and frameworks such as PyTorch, TensorFlow, or scikit-learn.
  • Experience with LLM technologies such as OpenAI APIs, Hugging Face, LangChain, vector databases, RAG, and AI agents.
  • Experience with Azure OpenAI, Azure Machine Learning, or comparable cloud AI services.
  • Strong understanding of data modeling, ingestion, transformation, data quality, lineage, and governance.
  • Experience deploying AI/ML models into secure, production cloud environments.
  • Experience with Kubernetes, Docker, MLOps, CI/CD, and scalable compute or GPU deployments.
  • Knowledge of cloud networking, identity management, security architecture, and enterprise governance.
  • Experience with Terraform, Bicep, ARM templates, or comparable Infrastructure-as-Code tools.
  • Demonstrated ability to communicate complex technical concepts to business leaders.
  • Proven experience working directly with business stakeholders and leading solution-design discussions.
What Success Looks Like
  • AI solutions are deployed into production and generate measurable business value.
  • Palantir data pipelines and Ontology models provide trusted, reusable data foundations.
  • Time from initial use-case identification to production implementation is reduced.
  • Business leaders understand and trust the AI solutions being delivered.
  • Secure, scalable architecture supports repeatable AI delivery across multiple business functions.
4 days onsite
USC or GC   
Salary w/benefit package 

Numbers & Facts

LocationIrving, TX

Skills

  • ARM (Advanced RISC Machine)unmatched
  • Access Controlunmatched
  • Application Programming Interface (API)unmatched
  • Artificial Intelligence (AI)unmatched
  • Artificial Intelligence (AI) Agentsunmatched
  • Automationunmatched
  • Cloud Computingunmatched
  • Communication Skillsunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • Cryptographyunmatched
  • Data Managementunmatched
  • Data Modelingunmatched
  • Data Qualityunmatched
  • Data Setsunmatched
  • Database Designunmatched
  • Dockerunmatched
  • Engineeringunmatched
  • Enterprise Protectionunmatched
  • Establish Prioritiesunmatched
  • Financial Operationsunmatched
  • GPU (Graphics Processing Unit)unmatched
  • Identity Data Managementunmatched
  • Leadershipunmatched
  • Machine Learningunmatched
  • Marketingunmatched
  • Mentoringunmatched
  • Microsoft Windows Azureunmatched
  • Natural Language Processing (NLP)unmatched
  • Network Administration/Managementunmatched
  • Ontologyunmatched
  • Performance Analysisunmatched
  • Predictive Modelingunmatched
  • Privacy Controlsunmatched
  • Problem Solving Skillsunmatched
  • Product Demonstrationunmatched
  • Production Systemsunmatched
  • Python Programming/Scripting Languageunmatched
  • Return on Investment (ROI)unmatched
  • Riskunmatched
  • Salesunmatched
  • Sales Pipelineunmatched
  • Scalable System Developmentunmatched
  • Security Architectureunmatched
  • Security Complianceunmatched
  • Software Developmentunmatched
  • Software Engineeringunmatched
  • Technical Leadershipunmatched
  • Technical Recruitingunmatched
  • Test Automationunmatched
  • Unstructured Dataunmatched
  • Use Casesunmatched
  • Virtual Machine (VM)unmatched

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