Senior AI Developer (Palantir AI Platform) POST NUMBER: 221731

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. 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 About the Project : This project is focused on operationalizing the organization's investment in the Palantir AI Platform by building an enterprise AI capability that delivers measurable business value. The goal is to partner directly with business leaders to identify high-impact use cases, architect and deploy production-ready AI solutions, and establish the engineering, governance, and MLOps standards needed to scale AI across the enterprise. Rather than building isolated AI models or proof-of-concepts, you'll create a repeatable AI delivery framework that enables the organization to leverage AI securely, effectively, and across multiple business functions. JOB REQUIREMENTS 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 PREFERRED (not required) 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 Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.