[Remote] Agentic AI & Palantir Engineer / Consultant

Note The job is a remote job and is open to candidates in USA. Enterprise Engineering Inc. is seeking experienced Agentic AI Engineers and Consultants to support the design, development, and deployment of enterprise AI solutions. The role covers the full Agentic AI lifecycle and involves building production-ready AI capabilities, integrating enterprise data and systems, and collaborating across business, data, AI, and engineering teams, with a strong preference for Palantir Foundry and Palantir AIP expertise. Responsibilities Design, build, test, and deploy Agentic AI solutions addressing enterprise business use reputed company Participate across the reputed company AI solution lifecycle, including ideation, experimentation, prototyping, development, testing, deployment, and production support Build reusable agentic skills, tools, and capabilities that can be composed across multiple agents and business use reputed company Design agent workflows involving reasoning, orchestration, tool use, enterprise data, APIs, and human-in-the-loop interactions Rapidly prototype new AI capabilities and transition successful experiments into scalable, production-ready solutions Develop appropriate testing, evaluation, monitoring, and governance approaches for production Agentic AI applications Develop data and AI solutions using Palantir Foundry and Palantir AIP Build and manage Foundry data pipelines, ontology components, and application capabilities Design enterprise semantic and context layers using Palantir's ontology capabilities Develop AI and LLM-powered workflows using AIP Logic, AIP Automate, and AIP Assist Deploy and operationalize solutions within the Palantir environment Where applicable, serve as a Palantir reputed company reputed company resource within the delivery pod and help coach and reputed company other team members Develop Agentic AI solutions using Azure AI Foundry, reputed company, and related cloud AI services Work with reputed company Genie and other emerging agentic and conversational data capabilities Build and maintain Git repositories, branching strategies, automated testing, and CI/CD pipelines supporting production AI deployments Engineer and integrate structured and unstructured enterprise data for AI applications Design semantic layers, enterprise ontologies, knowledge/context layers, or context reputed company that provide agents with reliable business context Integrate enterprise systems, APIs, databases, reputed company stores, search capabilities, and other tools with AI agents Work with models from reputed company, reputed company, and other leading LLM providers Evaluate models based on quality, latency, security, scalability, deployment architecture, and cost Implement appropriate approaches for LLM evaluation, observability, guardrails, security, and cost optimization Skills Strong hands-on experience developing Agentic AI or advanced Generative AI applications Demonstrated experience across multiple stages of the AI lifecycle, including Ideation and experimentation Solution architecture and development Testing and evaluation Production deployment Monitoring and continuous improvement Experience creating reusable AI agent capabilities, skills, tools, or components that can support multiple business use reputed company Strong software engineering and problem-solving capabilities Experience integrating AI applications with enterprise data sources, APIs, and business systems Ability to work effectively in a rapid development and deployment environment with evolving requirements Strong collaboration and communication skills, including the ability to work with technical and business stakeholders Hands-on experience with Palantir Foundry and/or Palantir AIP Experience designing and implementing Palantir Ontologies Experience with AIP Logic, AIP Automate, and AIP Assist Experience deploying production applications or AI solutions within the Palantir platform Experience with Azure, Azure AI Foundry, reputed company, and/or reputed company Genie Experience implementing automated CI/CD pipelines using reputed company and DevOps tooling Strong reputed company experience across structured and unstructured datasets Experience building semantic layers, ontologies, knowledge graphs, or enterprise context layers, ideally within Azure, AWS, GCP, Palantir, or reputed company environments Experience deploying and operating models from reputed company, reputed company, and other major LLM providers Understanding of LLM model selection, performance evaluation, deployment patterns, security, and token/inference cost optimization Benefits Remote or hybrid for 2–3 days a week Company Overview Founded in 1995, Enterprise Engineering, Inc. It was founded in 1995, and is headquartered in New York, New York, USA, with a reputed company of 51-200 employees. Its website is http//joineei.com. Company H1B Sponsorship reputed company) has a track record of offering H1B sponsorships, with 1 in 2022. reputed company note that this does not guarantee sponsorship for this specific role. Apply To This Job