Experience:

• 5+ years in Software Engineering, Solutions Architecture or Technical Consulting
• 2+ years building modern AI/LLM solutions in production
• Experience with Azure, AWS or GCP, including identity, networking and data services
• Proven ability to scope technical projects from ambiguous business requirements
• Excellent communication skills from board-level conversations through deep technical discussions
• Comfortable working autonomously in fast-moving client environments
• Willingness to travel approximately 40%

Responsibilities:

• Lead AI governance and discovery workshops
• Help customers understand and govern their AI landscape
• Explain AI governance, security posture and resilience to technical and executive audiences
• Help establish AI inventories, approval workflows, risk classifications, audit evidence and practical AI operating models
• Work directly with business stakeholders to understand the real business problem behind AI initiatives
• Identify high-value AI use cases
• Define success criteria
• Translate ambiguous requirements into deliverable technical scopes
• Produce architecture outlines, data and integration requirements, delivery phases, effort estimates and risk assessments
• Write Statements of Work customers can sign and engineering teams can deliver
• Develop prototypes and production-ready AI solutions
• Build custom tooling for regulated, cloud-restricted or air-gapped environments
• Run enablement sessions
• Support customer adoption
• Troubleshoot production issues
• Identify opportunities to expand engagements where genuine customer value exists

Additional responsibilities:

• Be the technical face of AvePoint inside enterprise customers
• Embed with customers and own engagements end-to-end
• Deliver tangible outcomes from discovery workshops through production
• Remain the trusted technical advisor throughout the engagement

Nice to have:

• Prompt injection
• Data leakage
• Agent permissions
• AI-SPM
• DSPM
• Model Context Protocol
• MCP
• Agent runtimes
• Pinecone
• Milvus
• Weaviate
• Chroma
• Enterprise data governance
• backup
• resilience
• Microsoft 365 ecosystems
• Public Sector
• Defence
• Financial Services
• Healthcare
• Air-gapped environments
• Sovereign cloud environments
• Previous Forward Deployed Engineering experience
• Embedded consulting experience
• Customer-facing engineering experience

More skills:

AI trust, AI governance, AI security, AI resilience, AI agents, copilots, models, shadow AI, AI inventories, approval workflows, risk classifications, audit evidence, AI operating models, architecture outlines, data integration requirements, delivery phases, effort estimates, risk assessments, Statements of Work, SoWs, LLM integrations, Anthropic, MCP-based tool integrations, governance and security controls, identity, networking, data services

Other:

• Department: Technology
• Posted date: 7/22/2026
• More than 28,000 customers rely on the AvePoint Confidence Platform
• The platform supports Microsoft, Google, Salesforce and other cloud environments
• Global partner ecosystem includes approximately 6,000 MSPs, VARs and SIs
• Solutions are available in over 100 cloud marketplaces
• The role is described as highly autonomous and customer-facing
• This is not a traditional pre-sales role or a back-office delivery position
• Any personal data shared during the application process will be processed in compliance with applicable data protection laws and the Privacy Notice