Senior AI Developer (Palantir AI Platform) POST NUMBER: 483739
Senior AI Developer (Palantir AI Platform)
DETAILS
Location : Remote (strong preference to candidates local to Irving, TX 75039)
Travel : If not local to the Irving, TX area, must be willing to travel in 1-2x per month, as needed
Position Type : Direct-Hire
Hourly / Salary : to $170K (based on experience level) JOB SUMMARY
Vaco is currently seeking a Senior AI Developer (Palantir AI Platform) for a Direct-Hire opportunity that may be performed remotely with travel to Irving, TX approximately 1–2 times per month. The Senior AI Developer will own the complete lifecycle of enterprise AI initiatives. Rather than building isolated machine learning models, the Senior AI Developer will work directly with business leaders to identify valuable use cases, design technical architectures, develop production-grade AI applications, deploy them into cloud environments, and ensure they remain secure, scalable, monitored, and governed over time. The Senior AI Developer will operate at the intersection of AI Engineering, Software Development, Cloud Engineering, MLOps, Solution Architecture, and Business Consulting, requiring someone who is equally comfortable writing production Python code, designing LLM applications, facilitating whiteboard sessions with executives, and measuring business value after deployment.
DETAILS
Location : Remote (strong preference to candidates local to Irving, TX 75039)
Travel : If not local to the Irving, TX area, must be willing to travel in 1-2x per month, as needed
Position Type : Direct-Hire
Hourly / Salary : to $170K (based on experience level) JOB SUMMARY
Vaco is currently seeking a Senior AI Developer (Palantir AI Platform) for a Direct-Hire opportunity that may be performed remotely with travel to Irving, TX approximately 1–2 times per month. The Senior AI Developer will own the complete lifecycle of enterprise AI initiatives. Rather than building isolated machine learning models, the Senior AI Developer will work directly with business leaders to identify valuable use cases, design technical architectures, develop production-grade AI applications, deploy them into cloud environments, and ensure they remain secure, scalable, monitored, and governed over time. The Senior AI Developer will operate at the intersection of AI Engineering, Software Development, Cloud Engineering, MLOps, Solution Architecture, and Business Consulting, requiring someone who is equally comfortable writing production Python code, designing LLM applications, facilitating whiteboard sessions with executives, and measuring business value after deployment.
- Enterprise AI Solution Architecture / Application Delivery – Designing Scalable Enterprise AI / Machine Learning Architectures While Developing / Deploying Production AI Applications Using Python Across Palantir / MS AI Ecosystems Supporting Predictive Models / Generative AI / NLP / Intelligent Automation
- Enterprise AI Enablement / Business Partnership – Partnering with Finance / Operations / Sales / Marketing / IT Leaders to Identify High-Value AI Opportunities / Educate Business Stakeholders / Facilitate Solution Workshops / Drive Enterprise AI Adoption
- Enterprise AI Engineering / MLOps – Developing Predictive Models / LLM Applications Using RAG / Prompt Engineering / AI Agents / Copilots While Designing Production AI Pipelines Supporting CI/CD / Deployment / Monitoring / Drift Detection / Lifecycle Management
- MS AI Ecosystem / Platforms – Building Enterprise AI Solutions Across Azure AI Foundry / MS Fabric Ecosystems | Supporting Enterprise AI Exploration / Production AI Delivery
- Enterprise AI Governance – Establishing Repeatable Engineering / Deployment / Governance Standards While Embedding Security / Explainability / Responsible AI Principles Throughout Solution Design/Production Delivery
- Enterprise AI Solution Consulting / Technical Leadership – Translating Ambiguous Business Problems into Enterprise AI Solutions While Presenting Technical Concepts to Executive Leadership, Mentoring Developers, Measuring ROI, and Expanding Organizational AI Capabilities
- Enterprise AI Software Development (7 years) – Developing Production Enterprise Applications Using Python While Designing / Deploying AI / ML Solutions with PyTorch / TensorFlow / scikit-learn
- Palantir Exposure – Exposure to Palantir Foundry / AIP / Ontology or Similar Enterprise AI Platforms | Ability to Learn Alongside Palantir Forward Deployed Engineers
- Enterprise LLM Development / MLOps – Designing RAG / Prompt Engineering / AI Agent / Copilot Solutions While Building Production AI Pipelines Supporting CI/CD / Deployment / Monitoring / Lifecycle Management
- Enterprise AI Cloud Platforms – Building Enterprise AI Solutions Across Azure AI Foundry / MS Fabric While Deploying Secure AI Workloads Across Azure / AWS / GCP
- Data Engineering Fundamentals – Understanding Data Ingestion / Transformation / Storage / Modeling Principles Supporting Production AI Solutions
- Business AI Consulting / Enablement – Identifying High-Value AI Opportunities / Educating Business Leaders / Explaining Complex AI Concepts / Driving Enterprise AI Adoption
- AI Governance – Implementing Enterprise AI Governance / Responsible AI Frameworks Supporting Secure / Compliant AI Solutions
- Enterprise AI Solutions – Supporting Analytics / Optimization / Decision Intelligence / AI Copilots / Intelligent Assistants / Enterprise Automation Initiatives
- Business Acumen / Enterprise Experience – Demonstrated Business / Financial Acumen Supporting AI Solutions Within Regulated / Operationally Complex / Enterprise-Scale Organizations
- Enterprise Environment Experience – Supporting Regulated / Operationally Complex / Enterprise-Scale Organizations
Vacancy posted 8 days ago
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