Chief Architect

You’ll set the technical standards and reference patterns that guide how Janney builds technology, and you’ll personally build and lead a small, high-caliber team of forward-thinking AI engineers who use AI to take on some of the firm’s biggest business challenges. Own and publish Janney’s reference architectures, technology standards, and build-vs-buy guidance, so that following the standard is simply the easiest way to get something built.Maintain our architecture pattern library as a living resource, retiring or updating patterns that teams aren’t actually using.Keep our technology reference model current and accurate, so architecture decisions are based on what we actually run today, not an outdated diagram.Lead our move from Azure DevOps to the Atlassian suite (Jira and Confluence) as the new home for architecture decision records, our pattern library, and backlog management – including managing the transition itself. Build and lead a small, high-caliber team of forward-thinking AI engineers – spanning AI Factory & Automation, Workflow Automation, and AI Security – focused on solving real, high-priority business problems with AI.Set Janney’s roadmap for applied AI and automation, and hold it to the same standards and rigor as any other major technology investment.Own our approach to AI security and responsible AI use – how we handle data, manage model and agent access, and put the right guardrails around new AI tools – in close partnership with our Data and our Information Security Office.Champion smart, secure, and productive use of AI across the firm, and make sure AI & Automation’s roadmap gets the same visibility as any other investment at the Portfolio Investment Council. Pull Solution Architects from Advisor Platforms, Client Platforms, Enterprise Platforms, Data Office, and Information Security Office onto individual initiatives, matching the right expertise to the problem instead of staffing every project the same way.Set the technical direction for each initiative and hold those architects to our enterprise standards, even though they report to their own engineering leaders day to day.Feed what you learn from each initiative back into the pattern library, so good judgment on one project becomes the standard for the next. You should be able to hold your own in a room of business stakeholders without a translator.A track record of being sought out by business and product leaders for early advice, not just approvals.Genuine, hands-on comfort with modern AI tools like Claude and ChatGPT – able to direct them through real design and analysis work, and know when to push back on what they produce.Experience leading a governance model that’s measured by adoption, not approval volume – comfortable being an advisor, not just a gatekeeper.Comfort leading a small, senior team, and staying personally involved in architecture and design work, not just directing others.Experience leading an applied-AI or automation team, including setting roadmap and security/control standards.A track record of leading through influence – getting strong work out of people who don’t report to you.