{"id":2891130,"url":"https://alion.io/job/rackspace-technology-senior-forward-deployed-engineer-palantir-certified","title":"Senior Forward Deployed Engineer – Palantir Certified","company":{"id":46166,"name":"Rackspace Technology","domain":"rackspace.com","url":"https://alion.io/company/rackspace","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":7,"ghost_share":0.143,"stale_share":0.143,"repost_share":0.143,"time_to_fill_p50_days":28,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":165830,"max":243141,"currency":"USD","period":"year","gross":null,"usd_annual":243141},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Haystack","optional":false},{"name":"InfiniBand","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Model Distillation","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Node JS","optional":false},{"name":"OpenStack","optional":false},{"name":"Pinecone","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"RLHF","optional":false},{"name":"SQL","optional":false},{"name":"VMWare","optional":false},{"name":"Vue.js","optional":false},{"name":"Weaviate","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-10-19T00:00:00Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-28T13:15:58Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Job Summary: As a Senior Forward Deployed Engineer FDE) at Rackspace Technology, you will be embedded directly with our most strategic enterprise customers to architect, build, and deploy high-impact AI solutions. This role combines deep technical engineering with business acumen, customer empathy, and end-to-end solution ownership. You become the technical bridge between Rackspace’s AI platform capabilities and the customer’s most pressing business challenges. You will own the full solution lifecycle from problem discovery and rapid prototyping through production deployment and continuous optimization while feeding field insights back to our product and platform engineering teams.\nThis role is ideal for someone who thrives at the intersection of engineering, strategy, and customer engagement and wants the autonomy and impact typically found at an AI startup, backed by the scale and resources of a global technology company.\nWork Location/Travel:\nRemote - Work from Home + 25% travel for on-site customer engagements.\nKey Responsibilities:\nDiagnose critical business challenges, map data landscapes, and co-design AI solutions on-site.\nLead end-to-end solution design and delivery of agentic AI workflows, RAG pipelines, knowledge graphs, and real-time decision-making applications.\nDrive rapid prototyping and POCs that demonstrate tangible business value within days to weeks.\nServe as the primary technical owner across the full project lifecycle: scoping, architecture, build, deployment, and post-launch optimization.\nArchitect production-grade Enterprise AI applications on Partner Foundry Solutions or Rackspace Private Cloud and GPU infrastructure, integrating with enterprise systems (ERP, CRM, data warehouses, data lakes).\nBuild scalable data pipelines across structured and unstructured data using ETL/ELT, vector databases (Pinecone, Weaviate, AstraDB), and knowledge base frameworks.\nDevelop and fine-tune LLM/SLM solutions; implement RAG architectures (LlamaIndex, Haystack) and orchestrate multi-agent workflows (LangChain, LangGraph, CrewAI).\nShip with full-stack and DevOps depth: Python, Node.js/Go, React/Vue, Docker, Kubernetes, CI/CD, and GPU cluster management.\nChampion observability, monitoring, and telemetry to ensure trustworthy, auditable, and versioned AI agents in production.\nIdentify expansion opportunities by working with sales and customer success to uncover high-value use cases across new business domains.\nFeed structured field insights back to Platform Engineering and Product on feature gaps, emerging needs, and usability improvements.\nBuild reusable IP through reference architectures, accelerators, frameworks, and technical best practices that scale future engagements.\nMentor engineers and customer teams, driving knowledge transfer and building internal AI competencies.\nRequired Qualifications:\nMust be Palantir certified. \n6+ years in software engineering, data engineering, or AI/ML delivery; at least 4+ years in customer-facing or field roles.\nProven track record in building and deploying AI/ML applications in production at enterprise scale.\nDeep full-stack proficiency: Python (required), Node.js/Go, React/Vue, SQL/NoSQL databases.\nHands-on with LLMs, prompt engineering, vector databases, data pipelines, application dashboards, RAG pipelines, and agent orchestration frameworks.\nStrong DevOps skills: Docker, Kubernetes, CI/CD, GPU infrastructure, cloud-native deployment patterns.\nExperience integrating across heterogeneous enterprise systems - ERP, data warehouses, data lakes, streaming architectures.\nAbility to translate ambiguous customer needs into actionable engineering plans under tight timelines.\nExcellent communication skills - comfortable with C-suite presentations, technical workshops, and cross-functional collaboration.\nExperience with Palantir Foundry, AIP, ontology modeling, Uniphore BAIC, or similar Enterprise AI development platforms.\nKnowledge of SLM fine-tuning, model distillation, RLHF, and AI evaluation frameworks.\nExperience building agentic AI solutions: multi-agent systems, tool use, and autonomous workflow orchestration.\nFamiliarity with GPU infrastructure (NVIDIA H100/B200, InfiniBand) and private cloud platforms (OpenStack, VMware).\nPrior experience in technology consulting, AI startups, or Forward Deployed / Solutions Engineering roles.\nDomain expertise in financial services, healthcare, supply chain, defense, energy, or manufacturing.\nExperience with knowledge graphs, semantic modeling, and ontology-driven data management.\n#LI-Remote #LI-AS\n\nOur compensation reflects the cost of labor across several geographic markets. The compensation range for this position ranges from $165,830.00/year in our lowest geographic market up to 243,141.80 USD/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP). Learn more about benefits at Rackspace.\n\nAbout Rackspace Technology\nRackspace Technology is the trusted operator of the full enterprise AI stack, from governed private cloud to AI inference and agents in production. From edge to core to cloud, we operate the infrastructure, data layer, and software integration to deliver business outcomes with the predictable cost, reliability, security, and compliance that regulated and mission-critical environments demand. We support customers in more than 120 countries with AI capabilities spanning private cloud, public cloud, applications, data and cyber resilience.\nMore on Rackspace Technology\nThough we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. 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