2 months ago
Base Salary
$180k - $230k/yr
Responsibilities
- Lead enterprise workshops on AI trust, governance, security posture, resilience, and compliance obligations.
- Identify high-value AI use cases and translate business requirements into architectures, integrations, delivery phases, estimates, risks, and statements of work.
- Build prototypes and production components for agent workflows, RAG pipelines, LLM integrations, MCP-based tools, and governance and security controls.
- Develop custom adapters and local tooling for regulated, cloud-restricted, sovereign, or air-gapped environments.
- Own technical client engagements from initial workshop through go-live, including enablement, adoption support, production troubleshooting, and expansion opportunities.
Requirements
- 5+ years of experience in software engineering, solutions architecture, or technical consulting, including at least 2 years of hands-on modern AI/LLM systems experience in real projects.
- Hands-on machine learning experience spanning model development, evaluation, deployment, operationalization, predictive analytics, and scalable MLOps.
- Experience building with LLM APIs and frameworks such as Azure OpenAI, Amazon Bedrock, Google Vertex, LangChain, or Semantic Kernel, including RAG, agentic workflows, and tool or function calling.
- Strong programming skills in Python, C#, or TypeScript and working fluency with Azure, AWS, or Google Cloud Platform, including identity, networking, and data services.
- Ability to scope technical projects from ambiguous requirements, facilitate requirements workshops, define delivery plans, and assess estimates and risks.
- Excellent communication with executives, technical teams, and senior stakeholders, plus willingness to travel to client sites and work autonomously.
- Knowledge of AI governance and compliance frameworks such as the EU AI Act, NIS2, ISO/IEC 42001, NIST AI RMF, or Gartner's AI TRiSM model is preferred.
- Experience with AI security, prompt injection, data leakage, agent permissioning, model and data security posture, MCP, agent runtimes, vector databases, enterprise data governance, regulated industries, or air-gapped environments is preferred.
- Prior forward-deployed, embedded consulting, or customer-facing engineering experience and additional client-region languages are preferred.
Benefits
- Base salary range of $180,000-$230,000, with medical, dental, vision, 401(k) with match, unlimited PTO, and possible bonuses, commissions, or RSUs.
- The role includes travel to client sites and work with regulated, cloud-restricted, sovereign, or air-gapped environments.
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.