Senior Software Engineer building Velora’s AI - native CRM, data and integrations platform. Delivering secure full - stack features for nonprofit fundraising, donor management and reporting.
About the role
- Senior engineering leader directing Astra Agents and Contract Intelligence Graph development at Agiloft, a global contract lifecycle management software company. Building shared AI, data, API, and platform capabilities.
Responsibilities
- Lead engineering teams behind Astra Agents and the Contract Intelligence Graph (CIG)
- Own engineering strategy, organization, and execution across the Contract Intelligence portfolio
- Define shared platform architecture covering data models, database services, IAM, Agents, AI Assistants, APIs, user interfaces, and MCP servers
- Partner with Product and Design to shape strategy, roadmap, sequencing, and investment decisions
- Translate portfolio priorities into integrated engineering plans, ownership, dependencies, and measurable outcomes
- Establish architecture direction and convergence across Astra and CLM cloud-native services
- Guide secure, tenant-aware, scalable, observable, versioned, reliable, and backward-compatible APIs and integrations
- Partner with Applied AI & Knowledge Engineering to productionize Agents and AI Assistants
- Establish evaluation practices for AI-enabled features, including quality, permissions, privacy, latency, cost, and operations
- Own the software development lifecycle, release coordination, operational reliability, and post-release stabilization
- Lead root-cause analysis and remediation for significant incidents and Level 3 escalations
- Contribute hands-on to the codebase, code reviews, and architecture decisions
- Lead managers and technical leaders across distributed teams
- Coach, develop, recruit, onboard, and retain engineering talent
- Partner cross-functionally with Product, Design, Core CLM, Applied AI, QA, Cloud Operations, Security, and Support
- Communicate technical direction, tradeoffs, risks, and investment needs to executives and partners
Requirements
- BS/MS in Computer Science, Engineering, or equivalent practical experience
- 10+ years of progressive software engineering experience
- 5+ years leading and developing multi-team engineering organizations with managers and senior technical leaders
- Clear delivery accountability and performance management experience
- Experience owning engineering outcomes for a substantial product portfolio, platform, or technical domain
- Deep experience with cloud-based SaaS systems, distributed services, APIs, enterprise integrations, and user-facing applications
- Experience building shared or converged components used by multiple products or services, including data models, database services, and IAM
- Hands-on technical fluency in production AI/LLM functionality, Agents, and AI Assistants
- Understanding of engineering measures such as delivery predictability, service reliability and SLOs, defect trends, performance, and operational health
- Experience partnering with Product and Design to create executable engineering roadmaps and make build, buy, or partner decisions
- Ability to communicate technical risks, tradeoffs, and decisions in business terms
- Responsible AI judgment covering accuracy, privacy, security, permissions, transparency, and human oversight
- Experience developing managers and technical leaders, building succession, and supporting employee performance
- Preferred: experience leading AI-enabled products, Agent architectures, or MCP orchestration interfaces
- Preferred: experience with knowledge graphs, graph-based systems, or data-rich enterprise platforms
- Preferred: background in CLM, legal technology, workflow automation, or enterprise SaaS
- Preferred: experience scaling engineering organizations in compliance-driven environments
Benefits
- Floating holidays
- Quarterly, no-questions-asked wellness day
- Employee Resource Groups (ERGs)
- Working environment supporting healthy work/life balance
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