2 months ago
Base Salary
$180k - $230k/yr
Responsibilities
- Lead enterprise workshops on AI trust, governance, security posture, resilience, and operating models.
- Identify valuable AI use cases and translate business requirements into technical scopes, architectures, delivery phases, estimates, and risk assessments.
- Write deliverable statements of work for AI build and governance engagements.
- Build prototypes and production AI components, including agent workflows, RAG pipelines, LLM integrations, MCP tool integrations, custom adapters, and local tooling.
- Deliver governance and security controls for regulated, cloud-restricted, sovereign, and air-gapped environments.
- Serve as the trusted technical advisor from initial workshop through go-live, including enablement, adoption support, and production troubleshooting.
- Travel to client sites and operate with high autonomy in ambiguous engagements.
Requirements
- 5+ years of experience in software engineering, solutions architecture, or technical consulting.
- At least 2 years of hands-on experience with modern AI/LLM systems in real projects.
- Practical experience with LLM APIs, frameworks, RAG, agentic workflows, and tool or function calling.
- Hands-on machine learning experience covering model development, evaluation, deployment, operationalization, predictive analytics, and scalable MLOps.
- Strong programming skills in Python and/or C#/TypeScript.
- Working fluency with at least one major cloud platform, including identity, networking, and data services.
- Ability to scope technical projects from ambiguous requirements and produce credible plans with phases, estimates, and risks.
- Excellent communication skills with senior executives, boards, technical teams, and platform engineers.
- Knowledge of AI governance and compliance frameworks such as EU AI Act, NIS2, ISO/IEC 42001, NIST AI RMF, or Gartner AI TRiSM is a strong plus.
- Experience with AI security topics, MCP, agent runtimes, vector databases, enterprise data governance, security, backup/resilience, Microsoft 365, multi-cloud environments, regulated industries, air-gapped or sovereign environments, or customer-facing engineering is preferred.
- Additional languages relevant to regional clients are a plus.
Benefits
- Base salary range of $180,000-$230,000, with final offers based on location, experience, skills, and qualifications.
- Medical, dental, and vision benefits.
- 401(k) with match.
- Unlimited PTO.
- Depending on the role, bonuses, commissions, or RSUs.
- The role includes travel to client sites and customer-embedded work.
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.