Senior Software Engineer, AI Platform

Open Positions at Fortress

Position: Senior Software Engineer, AI Platform
Location: Orlando HQ - Remote, FL
Job : 677
# of Openings: 2
Salary Range: $140,541 - $223,212 per year
Employment Type: Full-time

About the role: Fortress Information Security is seeking a Senior Software Engineer, AI Platform to build the foundational AI platform powering intelligent workflows across Fortress products and services. This role focuses on designing and operating the orchestration, retrieval, execution, and platform infrastructure required to support scalable, secure, and reliable AI systems in highly regulated environments. The ideal candidate brings strong distributed systems and backend engineering experience combined with hands‑on experience building production‑grade AI infrastructure, orchestration systems, or retrieval platforms.

This individual will work across platform, infrastructure, and application layers to help establish the technical foundation for Fortress’s AI strategy. This role is well‑suited for engineers who enjoy solving complex systems problems involving long‑running stateful workflows, multi‑store retrieval architectures, event‑driven systems, observability, and secure multi‑tenant infrastructure.
Please note: This role is built for a true, current senior engineer. Someone who hits the ground running, drives decisions independently, and raises the bar for the team from day one.

• Design, build, and operate orchestration frameworks supporting long‑running, stateful AI workflows and agent execution systems
• Develop distributed retrieval architectures spanning vector, graph, search, and relational data platforms
• Build shared platform services, reusable runtime components, and tool registries supporting AI capabilities across Fortress products
• Implement resilient event‑driven and change‑data‑capture (CDC) pipelines with strong consistency, retry, and fault‑tolerance guarantees
• Develop typed APIs and integration contracts supporting AI workflows and platform interoperability
• Improve scalability, performance, reliability, and operational efficiency across orchestration and retrieval infrastructure
• Support secure multi‑tenant deployments across cloud, hybrid‑cloud, and air‑gapped environments
• Build and maintain observability, telemetry, tracing, centralized logging, governance, and policy enforcement tooling
• Contribute to engineering standards and architectural patterns for orchestration, retrieval, and platform infrastructure
• Collaborate cross‑functionally with platform engineering, product engineering, security, and AI teams to support platform adoption and operational excellence
• Participate in troubleshooting, incident response, root cause analysis, and operational support activities related to platform infrastructure
• Continuously evaluate emerging technologies, tooling, and engineering practices relevant to AI infrastructure and distributed systems

• 6+ years of experience in backend, platform, or infrastructure engineering building production distributed systems
• Strong Python development experience including asynchronous systems, API design, and typed architectures
• Experience designing and operating scalable distributed or service‑oriented systems in production environments
• Hands‑on experience building or operating AI infrastructure, orchestration systems, retrieval platforms, or modern RAG architectures in production
• Strong understanding of distributed systems concepts including queues, event streams, retries, consistency models, concurrency, and fault tolerance
• Active daily use and fluency with AI‑assisted engineering workflows and agentic development tooling such as Claude Code, Cursor, or similar platforms, including effective use of LLMs throughout software design, implementation, debugging, and operational workflows.
• Strong written and verbal communication skills with the ability to collaborate effectively across technical teams
• Ability to operate independently in fast‑moving, highly technical environments with evolving priorities

• Experience with orchestration and workflow frameworks such as Lang Graph, Temporal, Celery, or similar…