Senior Staff Software Engineer, Content Intelligence

Arc XP is hiring a Senior Staff Software Engineer to lead technical direction for its Content Intelligence AI platform and production systems. The role spans platform architecture, AI quality and evaluation, multi-tenant security and privacy, production delivery, and technical leadership.

Responsibilities:

• Own the end-to-end design of Arc's AI platform: model routing, prompt management, vector storage, and agentic runtimes
• Lead major architectural changes end to end, including solution design, security review, incremental rollout, and deprecation of what it replaced
• Set technical direction that holds across the organization, keeping decisions coherent with the services we depend on
• Own and evolve the evaluation infrastructure, keeping shared metrics reliable, relevant, and aligned with evolving quality needs
• Lead the safe adoption of new models through staged rollout practices, quality checks, and clear recovery paths
• Define and maintain AI guardrails that protect users, tenants, and platform reliability while keeping model capabilities aligned with product needs
• Own the multi-tenancy model and enforce tenant isolation in all new development
• Partner with Security to strengthen privacy-by-default practices, with clear standards for data retention, minimization, erasure, and compliance controls
• Partner with Security on threat modeling, secure design reviews, and prioritizing vulnerability remediation
• Own the release train from customer test environments to production across regions, hotfixes included, without needing someone else to decide when it is safe to ship
• Participate in the on-call rotation
• Define and track key metrics for system health, customer activity, and business-critical workflows
• Partner with operations and customer enablement to streamline customer setup and onboarding
• Drive what gets built. Bring ideas forward, shape the roadmap for your product area, and advocate for priorities with product and engineering leadership
• Lead mob programming sessions, design reviews, and architecture discussions, using them to raise engineering standards rather than simply approving changes
• Mentor and unblock other engineers through hands-on collaboration and design partnership

Requirements:

• 8+ years designing, building, and operating backend distributed systems at scale, including significant experience setting technical direction at the senior, staff, or principal level
• Demonstrated ability to lead and architect across teams, influence technical direction without formal authority, and stay accountable for outcomes that depend on other teams' work
• Strong Python experience, including production API development with FastAPI or a close equivalent
• Deep AWS experience across core services, including Lambda, ECS, S3, CloudFront, DynamoDB, Bedrock, CodePipeline, and CodeBuild
• Experience with infrastructure as code frameworks, including Terraform, OpenTofu, Terragrunt, CloudFormation, or similar
• Hands-on experience building production AI systems: model routing, retrieval architecture, embedding and chunking strategy, reranking, streaming responses, guardrails, and evaluation harnesses
• Experience with multi-tenant SaaS architecture, including tenant isolation enforcement, per-tenant configuration, and usage metering
• Demonstrated written clarity across design documents, roadmaps, and runbooks — much of this role's leverage is text
• We weigh practical equivalent experience equally
• Production-scale experience with vector embeddings, storage, and retrieval
• Familiarity with workflow orchestration frameworks, such as Temporal
• Familiarity with event streaming platforms, such as Kafka
• Experience with NoSQL and document databases, such as MongoDB Atlas
• Experience implementing observability with Datadog or comparable tooling, including APM, LLM observability, and application security monitoring
• Experience evaluating and integrating multiple model providers and hosting options
• Strong API and developer-experience craft: OpenAPI discipline, versioning, deprecation paths, backward compatibility, and predictable usage contracts
• Comfortable leveraging AI-assisted development tools, such as Claude Code, across prototyping, implementation, testing, and documentation while applying strong engineering judgment
• Experience evolving large-scale production systems while maintaining customer continuity across multiple languages or regions
• Media, publishing, or newsroom technology background
• Experience developing streaming media or rich content delivery workflows
• Hands-on experience with multimodal AI tools for media analysis and generation, including video, photo, or audio