1 day ago
Base Salary
$208k - $305k/yr
Responsibilities
- Diagnose enterprise business challenges, map data landscapes, and co-design AI solutions with customers.
- Design and deliver agentic AI workflows, RAG pipelines, knowledge graphs, and real-time decision-making applications.
- Lead rapid prototyping and proofs of concept that demonstrate business value within days to weeks.
- Own solution lifecycles spanning scoping, architecture, development, deployment, and post-launch optimization.
- Architect production-grade enterprise AI applications on Partner Foundry Solutions or Rackspace Private Cloud and GPU infrastructure.
- Build scalable data pipelines across structured and unstructured data using ETL/ELT, vector databases, and knowledge base frameworks.
- Develop and fine-tune LLM and SLM solutions and orchestrate multi-agent workflows.
- Build full-stack applications and manage DevOps, Kubernetes, Docker, CI/CD, and GPU cluster operations.
- Implement observability, monitoring, telemetry, versioning, and auditability for production AI agents.
- Work with sales and customer success to identify expansion opportunities and high-value use cases.
- Provide field insights to Platform Engineering and Product teams and build reusable architectures, accelerators, and frameworks.
- Mentor engineers and customer teams and support knowledge transfer.
Requirements
- Palantir certification is required.
- 10+ years of experience in software engineering, data engineering, or AI/ML delivery, including at least 4+ years in customer-facing or field roles.
- Proven experience building and deploying enterprise-scale AI/ML applications in production.
- Deep full-stack proficiency with Python, Node.js or Go, React or Vue, and SQL/NoSQL databases.
- Hands-on experience with LLMs, prompt engineering, vector databases, data pipelines, application dashboards, RAG pipelines, and agent orchestration frameworks.
- Strong DevOps skills with Docker, Kubernetes, CI/CD, GPU infrastructure, and cloud-native deployment patterns.
- Experience integrating ERP systems, data warehouses, data lakes, and streaming architectures.
- Ability to translate ambiguous customer needs into actionable engineering plans under tight timelines.
- Strong communication skills for C-suite presentations, technical workshops, and cross-functional collaboration.
- Experience with Palantir Foundry, AIP, ontology modeling, Uniphore BAIC, or similar enterprise AI platforms.
- Knowledge of SLM fine-tuning, model distillation, RLHF, and AI evaluation frameworks.
- Experience building agentic AI solutions involving multi-agent systems, tool use, and autonomous workflow orchestration.
- Familiarity with NVIDIA H100/B200, InfiniBand, OpenStack, and VMware.
- Prior experience in technology consulting, AI startups, Forward Deployed Engineering, or Solutions Engineering.
- Domain expertise in financial services, healthcare, supply chain, defense, energy, or manufacturing is relevant.
- Experience with knowledge graphs, semantic modeling, and ontology-driven data management.
Benefits
- Remote work from home in the US with up to 25% travel for on-site customer engagements.
- Annual bonus or incentive compensation opportunities, equity awards, and an Employee Stock Purchase Plan may be included.
- Compensation varies by geographic market, with the stated base range provided in the salary section.
About Rackspace
Rackspace Technology® is the operator of the full enterprise AI stack from governed private cloud to AI inference and agents in production. With an Outcomes-as-a-Service model built on secure infrastructure, data foundations and forward-deployed engineering, we deliver business results for regulated and mission-critical industries where governance, sovereignty and uptime are non-negotiable.