2 months ago
Base Salary
$180k - $230k/yr
Responsibilities
- Lead enterprise workshops on AI trust, governance, security posture, resilience, and operating models.
- Identify high-value AI use cases and translate business requirements into technical scopes, architectures, delivery phases, estimates, and risk assessments.
- Write actionable statements of work for AI build and governance engagements.
- Build prototypes and production components including agent workflows, RAG pipelines, LLM integrations, MCP-based tools, and governance controls.
- Develop custom adapters and local tooling for regulated, cloud-restricted, sovereign, or air-gapped environments.
- Own technical client relationships from discovery through go-live, including enablement, adoption support, and production troubleshooting.
- Travel to client sites and operate autonomously in ambiguous, fast-moving engagements.
Requirements
- 5+ years of experience in software engineering, solutions architecture, or technical consulting, including at least 2 years of hands-on experience with modern AI/LLM systems in real projects.
- Hands-on machine learning experience covering model development, evaluation, deployment, operationalization, predictive analytics, and scalable MLOps.
- Practical experience with LLM APIs, frameworks, RAG, agentic workflows, and tool or function calling.
- Strong programming skills in Python, C#, and/or TypeScript, with working fluency in Azure, AWS, or GCP.
- Experience scoping technical projects from ambiguous requirements and producing credible plans with phases, estimates, and risks.
- Excellent communication skills with senior executives, technical stakeholders, and platform engineers.
- Preferred experience includes AI governance and compliance, AI security, MCP, agent runtimes, vector databases, enterprise data governance, security, backup or resilience, Microsoft 365, regulated industries, air-gapped environments, and forward-deployed or customer-facing engineering.
- Additional languages relevant to the client region are a plus.
Benefits
- Base salary range of $180,000-$230,000, with additional benefits and potential bonuses, commissions, or RSUs depending on the role.
- Medical, dental, vision, 401(k) with match, and unlimited PTO.
- Client-site travel is required as part of the forward-deployed engagement model.
Tech Stack
Categories
Forward Deployed
About AvePoint
AvePoint builds SaaS backup, migration, and governance software for enterprises running Microsoft 365, SharePoint, Google Workspace, and Salesforce. Its products help secure data, manage compliance, and automate administration, sold via subscriptions and channel partners. Founded in 2001 and headquartered in Jersey City, the company is publicly traded on the NASDAQ.