[Remote] Forward Deployed Engineer (FDE) AI & Database Solutions

Note: The job is a remote job and is open to candidates in USA. Dice is seeking a highly skilled Forward Deployed Engineer to support SingleStore customers globally. The role focuses on deploying and optimizing SingleStore database environments, implementing AI-powered Aura Analyst solutions, providing technical consulting, and serving as a trusted customer advisor throughout the implementation lifecycle.

Responsibilities

• Deploy, configure, and optimize SingleStore Helios environments for enterprise customers
• Install, configure, and support Self-Managed SingleStore clusters across cloud and on-premises infrastructure
• Perform cluster sizing, architecture design, upgrades, migrations, and production readiness assessments
• Configure high availability, disaster recovery, backup, security, and performance optimization
• Troubleshoot complex infrastructure, database, and deployment issues
• Deploy and configure Aura Analyst for enterprise customers
• Integrate Aura Analyst with customer datasets and enterprise workflows
• Enable customers to leverage natural language queries and AI-powered analytics
• Validate AI outputs, optimize prompts, and support customer adoption
• Collaborate with SingleStore Product and Engineering teams by providing implementation feedback and product improvement recommendations
• Serve as the primary technical advisor during customer implementations
• Lead discovery sessions, technical workshops, and architecture reviews
• Translate business objectives into scalable technical solutions
• Recommend best practices for deployment, performance, scalability, and security
• Produce high-quality technical documentation and implementation guides
• Leverage AI tools to accelerate deployments, troubleshooting, documentation, and knowledge sharing
• Develop automation scripts to simplify repetitive deployment and operational tasks
• Utilize modern AI coding assistants and productivity tools to improve engineering efficiency
• Stay current with advancements in Large Language Models (LLMs), AI agents, and enterprise AI technologies
• Build trusted relationships with customer stakeholders, architects, and engineering teams
• Drive successful implementations while ensuring an exceptional customer experience
• Mentor customer teams through knowledge transfer sessions and operational best practices
• Collaborate with Customer Success and Support teams to ensure seamless project handoffs

Skills

• Bachelor's degree in Computer Science, Information Technology, Engineering, or
• Equivalent practical experience
• 8+ years of experience in Professional Services, Solutions Engineering, Customer Engineering, Forward Deployed Engineering, or Technical Consulting
• Experience deploying enterprise software solutions in customer environments
• Experience with SingleStore or distributed SQL databases such as PostgreSQL, CockroachDB, YugabyteDB, MySQL, or similar technologies
• Database administration and performance tuning experience
• Data ingestion and ETL pipelines
• Monitoring platforms such as Grafana, Prometheus, or Datadog
• Infrastructure as Code using Terraform or Ansible
• CI/CD pipelines and DevOps practices
• Strong Linux system administration skills
• Experience with AWS, Microsoft Azure, or Google Cloud Platform
• Hands-on experience with Kubernetes and containerized applications
• Strong networking fundamentals, including DNS, TLS/SSL, firewalls, and load balancing
• Experience with Python, Bash, or other scripting languages
• Familiarity with REST APIs and enterprise integrations
• Excellent troubleshooting and analytical skills
• Exceptional verbal and written communication skills
• Strong presentation and executive communication capabilities
• Excellent consulting and stakeholder management skills
• Ability to simplify complex technical concepts for both technical and non-technical audiences
• Strong business acumen and customer-first mindset
• Experience leading customer workshops and architecture discussions
• Excellent problem-solving and analytical thinking skills
• Ability to manage multiple customer engagements simultaneously
• Hands-on use of AI tools such as ChatGPT, Claude, Gemini, GitHub Copilot, Cursor, Windsurf, or similar platforms
• Knowledge of Model Context Protocol (MCP) and its role in enabling AI assistants to securely interact with enterprise databases, APIs, development tools, and business applications
• Using AI to improve implementation quality, scripting, troubleshooting, documentation, and customer enablement
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Agents and MCP (Model Context Protocol)
• Vector Databases and Embeddings
• Experience implementing AI-powered enterprise applications is highly desirable
• Experience delivering Professional Services engagements
• Exposure to enterprise analytics platforms
• Cloud certifications (AWS, Azure, or Google Cloud Platform)
• Kubernetes certification is a plus
• Experience supporting Fortune 500 or enterprise customers

Benefits

• Remote work arrangement

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