Applied AI Engineer – MSP

Summary

PressW is where some of the world's most ambitious companies come to actually ship AI. The AI Delivery Engineer’s role involves building custom connectors, agent skills, and addressing customer requests while collaborating closely with the AI Strategist team to deliver workflows that provide significant ROI to clients.

Responsibilities

• Configure and deploy custom Claude connectors, skills, and agents for our client workflows - working directly in the tools, not just directing others
• Iterate on prompts, system instructions, and agent behaviors based on client feedback and real-world performance
• Set up integrations between Claude and the tools our clients use: data rooms, CRMs, portfolio monitoring platforms, document management systems
• Troubleshoot and refine AI tools post-deployment, maintaining a continuous improvement loop with clients
• Track and report on AI implementation initiatives across MSP clients, maintaining visibility into adoption, utilization, and ROI
• Identify opportunities to expand AI tooling across portfolio company functions beyond the deal team - finance, HR, operations, IR
• Build the business case for platform-level AI investments deployable across multiple portfolio companies
• Contribute to PressW's playbooks for AI implementation in workflows, documenting what works and accelerating future engagements
• Stay current with Claude releases, new capabilities, and the broader AI landscape - bring relevant developments proactively to clients and the team
• Help shape PressW's go-to-market positioning with prospects through proposals, case studies, and thought leadership

Skills

• Exceptional AI fluency: you are a power user of Claude and other AI systems, you understand their capabilities and limits, and you stay current with developments as they happen
• Direct experience building or configuring AI tools, agents, or automations - personal or side projects count
• Technical curiosity and hands-on comfort: you are willing and able to configure software, set up integrations, and figure out new tools without needing a manual
• Strong communication and requirements-gathering skills; you know how to ask questions that surface the real problem, not just the stated one
• Familiarity with prompt engineering, LLM behavior, and context management techniques
• Exposure to finance-adjacent software platforms: Salesforce, DealCloud, Allvue, Carta, Visible, or similar
• Prior exposure to managed services, technology consulting, or implementation work

Qualifications

Must Haves

• Exceptional AI fluency: you are a power user of Claude and other AI systems, you understand their capabilities and limits, and you stay current with developments as they happen
• Direct experience building or configuring AI tools, agents, or automations - personal or side projects count
• Technical curiosity and hands-on comfort: you are willing and able to configure software, set up integrations, and figure out new tools without needing a manual
• Strong communication and requirements-gathering skills; you know how to ask questions that surface the real problem, not just the stated one

Nice to Haves

• Familiarity with prompt engineering, LLM behavior, and context management techniques
• Exposure to finance-adjacent software platforms: Salesforce, DealCloud, Allvue, Carta, Visible, or similar
• Prior exposure to managed services, technology consulting, or implementation work