Forward Deployed Engineer III

This is a fully remote position, open to applicants in India.

📋 Description

• Analyze critical business issues, outline data landscapes, and collaboratively design AI solutions on-site.

• Oversee the complete solution design and implementation of agentic AI workflows, RAG pipelines, knowledge graphs, and real-time decision-making applications.

• Facilitate rapid prototyping and proofs of concept that showcase significant business value within days to weeks.

• Act as the primary technical lead throughout scoping, architecture, development, deployment, and post-launch enhancement.

• Design production-grade Enterprise AI applications utilizing Partner Foundry Solutions or Rackspace Private Cloud and GPU infrastructure.

• Integrate AI applications with enterprise systems such as ERP, CRM, data warehouses, and data lakes.

• Construct scalable data pipelines for both structured and unstructured data using ETL/ELT, vector databases, and knowledge base frameworks.

• Develop and refine LLM/SLM solutions; implement RAG architectures and manage multi-agent workflows.

• Provide full-stack and DevOps solutions using Python, Node.js/Go, React/Vue, Docker, Kubernetes, CI/CD, and GPU cluster management.

• Promote observability, monitoring, and telemetry for reliable, auditable, and version-controlled AI agents in production.

• Recognize expansion opportunities with sales and customer success across new business sectors.

• Convey field insights to Platform Engineering and Product regarding feature gaps, emerging needs, and usability enhancements.

• Create reusable intellectual property through reference architectures, accelerators, frameworks, and technical best practices.

• Mentor engineers and customer teams, fostering knowledge transfer and developing internal AI capabilities.

⛳️ Requirements

• Must possess Palantir certification.

• Minimum of 5 years in software engineering, data engineering, or AI/ML delivery.

• At least 4 years in customer-facing or field roles.

• Proven experience in building and deploying AI/ML applications in production at an enterprise level.

• Extensive full-stack expertise: Python (required), Node.js/Go, React/Vue, SQL/NoSQL databases.

• Practical experience with LLMs, prompt engineering, vector databases, data pipelines, application dashboards, RAG pipelines, and agent orchestration frameworks.

• Strong DevOps capabilities: Docker, Kubernetes, CI/CD, GPU infrastructure, and cloud-native deployment patterns.

• Experience with integrating diverse enterprise systems, including ERP, data warehouses, data lakes, and streaming architectures.

• Capacity to convert ambiguous customer requirements into actionable engineering plans within strict deadlines.

• Excellent communication skills; adept at C-suite presentations, technical workshops, and cross-functional collaboration.

• Experience with Palantir Foundry, AIP, ontology modeling, Uniphore BAIC, or similar Enterprise AI development platforms.

• Knowledge of SLM fine-tuning, model distillation, RLHF, and AI evaluation frameworks.

• Experience in developing agentic AI solutions, including multi-agent systems, tool utilization, and autonomous workflow orchestration.

• Familiarity with GPU infrastructure, including NVIDIA H100/B200 and InfiniBand, and private cloud platforms such as OpenStack and VMware.

• Previous experience in technology consulting, AI startups, or Forward Deployed/Solutions Engineering roles.

• Domain expertise in financial services, healthcare, supply chain, defense, energy, or manufacturing.

• Familiarity with knowledge graphs, semantic modeling, and ontology-driven data management.

🏝️ Benefits

• Equal employment opportunity without regard to legally protected characteristics.

• Disability or special-needs accommodation available upon request.