AI-Enabled Software Engineer
About The Position
Diversify is an advisor-founded, advisor-led wealth management firm investing in AI to improve the experience for its advisors and their clients. The Senior AI-Enabled Software Engineer is a senior engineering leader responsible for designing and operating a software delivery model in which pods of agents handle design, coding, quality assurance, and user acceptance testing, with people providing direction and review. The role partners with product owners, architects, and engineering teams to determine how work is divided, where human review is needed, and how to assess whether work is ready to ship. The engineer continuously evaluates new AI capabilities and their potential applications in software delivery and wealth management, translating that understanding into practical solutions for the firm, advisors, and clients. The role includes designing agent workflows, building supporting tooling, setting quality and security controls, measuring delivery outcomes, and enabling engineers and business partners to work effectively with agent pods.
Requirements
- At least 8 years of experience in software engineering or engineering management.
- At least 2 years focused on AI-enabled software delivery directly related to this position.
- Strong judgment about where automation breaks down and where human review is essential.
- Experience leading or coaching teams through change.
- Demonstrated ability to influence without authority and align diverse stakeholders.
- Passion for developing processes and scalable delivery models.
- Intellectual curiosity, a consistent habit of staying current, and comfort with rapidly changing practices.
- Deep knowledge of the software development lifecycle, testing, and CI/CD.
- Hands-on experience with coding agents and multi-agent orchestration.
- Strong Python and JavaScript/TypeScript skills.
- Strong facilitation, prioritization, and decision-making skills.
- Working knowledge of data architecture, data lakes, data management, Postgres, and graph databases, including how agent-built software relies on them.
Nice To Haves
- Experience building internal developer platforms or tooling.
- Experience working in a highly regulated industry.
Responsibilities
- Define pod structures, handoffs, and human checkpoints across the software lifecycle.
- Track developments in AI-enabled software delivery and AI in wealth management, including coding agents, orchestration approaches, and evolving regulatory expectations.
- Evaluate emerging AI options for fit with the delivery model and provide regular updates to engineering and leadership about changes and potential adoption.
- Build tooling that connects agents to repositories, test environments, and review workflows.
- Establish quality gates, security review, and traceability for work produced by agents.
- Ensure delivery standards, quality gates, and traceability extend to agent-produced work on the advisor platform, partnering with the platform owner on requirements.
- Measure throughput, defect rates, and costs against traditional delivery, and report results accurately.
- Train engineers and business partners to work effectively with agent pods.
- Partner with product owners, architects, and engineering teams to define work allocation, human oversight, and readiness-to-ship criteria.
Benefits
- Medical coverage with HSA and FSA options.
- Dental insurance.
- Vision insurance.
- 401(k) with a generous company match.
- Access to a personal financial planner and unique investment options.
- Four weeks of paid time off.
- Twelve paid holidays.
- Two days for giving back.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
