Palantir Foundry / AIP DevOps Engineer

9 - 13 years

0 Lacs

Posted:4 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As an experienced professional in software engineering, data architecture, or AI/ML with over 9 years of relevant experience, you will be responsible for architecting enterprise-grade solutions using Palantir Foundry and AIP. Your role will involve leading AI application development, including agentic AI for business process automation. You will own the end-to-end solution lifecycle, encompassing design, development, deployment, and production support. It will be crucial for you to define DevOps and platform engineering standards for Foundry deployments, guiding data governance, security, and CI/CD automation across teams. Collaboration with global teams to build scalable frameworks and reusable templates will be a key aspect of your responsibilities. You will also lead environment governance, versioning strategy, and platform upgrade planning. Acting as a technical advisor to stakeholders, you will translate complex requirements into actionable solutions and drive innovation by integrating emerging AI/ML capabilities into Foundry workflows. Your proficiency in Foundry tools such as Ontology Manager, Pipeline Builder, Code Workbook, and Contour, along with advanced knowledge of Palantir AIP, GenAI, and LLM integrations, will be essential for success in this role. Experience in managing production environments, observability tools, GitOps, CI/CD automation, branching strategies, and proficiency in programming languages such as Python, Java, TypeScript, or C++ will be required. A strong foundation in SQL, Spark, PySpark, and data modeling, as well as familiarity with cloud platforms like AWS, Azure, GCP, and DevOps practices, will be beneficial. Excellent leadership, communication skills, and stakeholder engagement are essential qualities for this position. Preferred qualifications include Palantir certifications (Foundry Basics, Developer Track), experience mentoring teams, leading agile delivery, knowledge of DeVOps, data lineage, and automated deployments, and a background in platform engineering, enterprise architecture, or solution consulting.,

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