Embedded with strategic enterprise customers to design, prototype, and deploy production-grade AI solutions (RAG, agents, knowledge graphs). Own full lifecycle, build data pipelines, manage GPU/private cloud infrastructure, integrate with enterprise systems, and mentor teams while driving product feedback and reusable IP.
About the Role: Location: Remote (US) /Travel up to 25% | Reports To: VP, Data & AI | Job Level: Senior / Principal (IC)
As a Sr. Forward Deployed Engineer (Sr. 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.
This 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.
Key Accountabilities:
- Embed with strategic enterprise customers to rapidly diagnose critical business challenges, map data landscapes, and co-design AI solutions on-site.
- Lead end-to-end solution design and delivery of agentic AI workflows, RAG pipelines, knowledge graphs, and real-time decision-making applications.
- Drive rapid prototyping and POCs that demonstrate tangible business value within days to weeks.
- Serve as the primary technical owner across the full project lifecycle: scoping, architecture, build, deployment, and post-launch optimization.
- Architect 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).
- Build scalable data pipelines across structured and unstructured data using ETL/ELT, vector databases (Pinecone, Weaviate, AstraDB), and knowledge base frameworks.
- Develop and fine-tune LLM/SLM solutions; implement RAG architectures (LlamaIndex, Haystack) and orchestrate multi-agent workflows (LangChain, LangGraph, CrewAI).
- Ship with full-stack and DevOps depth: Python, Node.js/Go, React/Vue, Docker, Kubernetes, CI/CD, and GPU cluster management.
- Champion observability, monitoring, and telemetry to ensure trustworthy, auditable, and versioned AI agents in production.
- Identify expansion opportunities by working with sales and customer success to uncover high-value use cases across new business domains.
- Feed structured field insights back to Platform Engineering and Product on feature gaps, emerging needs, and usability improvements.
- Build reusable IP through reference architectures, accelerators, frameworks, and technical best practices that scale future engagements.
- Mentor engineers and customer teams, driving knowledge transfer and building internal AI competencies.
Preferred Qualifications:
- 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 building agentic AI solutions: multi-agent systems, tool use, and autonomous workflow orchestration.
- Familiarity with GPU infrastructure (NVIDIA H100/B200, InfiniBand) and private cloud platforms (OpenStack, VMware).
- Foundry certifications from Palantir/Uniphore or AI/ML-related certifications.
- Prior experience in technology consulting, AI startups, or Forward Deployed / Solutions Engineering roles.
- Domain expertise in financial services, healthcare, supply chain, defense, energy, or manufacturing.
- Experience with knowledge graphs, semantic modeling, and ontology-driven data management.
Required Qualifications:
- BS/MS/PhD in Computer Science, Data Science, Engineering, Mathematics, Physics, or related field.
- 10+ years in software engineering, data engineering, or AI/ML delivery; at least 4+ years in customer-facing or field roles.
- Proven track record in building and deploying AI/ML applications in production at enterprise scale.
- Deep full-stack proficiency: Python (required), Node.js/Go, React/Vue, SQL/NoSQL databases.
- Hands-on with LLMs, prompt engineering, vector databases, data pipelines, application dashboards, RAG pipelines, and agent orchestration frameworks.
- Strong DevOps skills: Docker, Kubernetes, CI/CD, GPU infrastructure, cloud-native deployment patterns.
- Experience integrating across heterogeneous enterprise systems - ERP, data warehouses, data lakes, streaming architectures.
- Ability to translate ambiguous customer needs into actionable engineering plans under tight timelines.
- Excellent communication skills - comfortable with C-suite presentations, technical workshops, and cross-functional collaboration.
- Willingness to travel up to 25% for on-site customer engagements.
#LI-Remote
#LI-AS
Top Skills
Python,Node.Js,Go,React,Vue,Sql,Nosql,Docker,Kubernetes,Ci/Cd,Gpu Infrastructure (Nvidia H100,B200),Infiniband,Openstack,Vmware,Pinecone,Weaviate,Astradb,Vector Databases,Llms,Prompt Engineering,Rag,Llamaindex,Haystack,Langchain,Langgraph,Crewai,Etl,Elt,Gpu Cluster Management,Erp/Crm Integration,Data Warehouses,Data Lakes
Similar Jobs
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The ACDelco Market Area Manager coordinates sales efforts, develops marketing initiatives, and increases customer engagement in the automotive aftermarket.
Top Skills:
ExcelMs OutlookPowerPoint
Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
The Service of Process Specialist will review and process legal documents, fulfill customer orders, and provide excellent customer service. Responsibilities include data entry, online research, and addressing customer inquiries.
Top Skills:
MS Office
.png){kind=logo}
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Support O&T FP&A for OCF and headcount: budgeting, quarterly forecasting, financial modeling, consolidating ~$1.5B OCF, tracking headcount, liaising with operational finance and IT, driving process improvements and ad-hoc analyses.
Top Skills:
Excel,Powerpoint,Essbase,Sap,Bpc,Ms Office
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
