Lead Software Engineer

About the position

We are seeking a candidate for a Lead Software Engineer to join our Enterprise Platform team within Investment Technology. We are seeking a strategic and technically skilled Lead AI Developer to drive the development, governance, and adoption of AI tools across Wellington. This role will be instrumental in managing the rollout of OpenAI-based solutions and Microsoft Copilot, with a strong emphasis on security, compliance, and responsible AI use. The ideal candidate will have hands-on experience with OpenAI APIs, Microsoft Copilot, Amazon Bedrock, and will serve as a bridge between engineering, information security, and business stakeholders-especially within the investor community.

Responsibilities

• Define and maintain standards for when to use Copilot vs. OpenAI vs. other AI tools.
• Collaborate with the AI Policy and Risk team to ensure alignment with firmwide AI governance.
• Lead the firmwide deployment of ChatGPT and Copilot, including training, enablement, and support.
• Partner with investor teams to tailor AI solutions to their workflows and ensure adoption.
• Build and maintain custom AI agents using Azure OpenAI, Copilot Studio, and AWS AI services.
• Support the O365 Copilot rollout, including integration with Microsoft Teams, Outlook, and SharePoint.
• Stay current on AI-related risks, including data leakage, hallucinations, and model drift.
• Work closely with InfoSec and Legal to ensure all AI deployments meet compliance standards.
• Monitor and evaluate emerging AI capabilities and product enhancements from Microsoft, OpenAI, and Amazon Bedrock.
• Contribute to internal knowledge sharing and represent the team in AI working groups and forums.

Requirements

• Strong understanding of information security principles and AI governance.
• Excellent communication and stakeholder management skills.
• 5+ years of experience in software development, with 2+ years in AI/ML or NLP.
• Proficiency with OpenAI APIs, Azure OpenAI, and Copilot Studio.
• Bachelor's Degree in Computer Science, engineering, math, or related field, or equivalent experience.

Nice-to-haves

• Azure and SSO Administration experience.
• Familiarity with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend).
• Experience with Harmonic AI or Prompt AI.

Benefits

• Retirement plan
• Health and wellbeing coverage
• Dental, vision, and pharmacy coverage
• Health savings account
• Flexible spending accounts
• Commuter program
• Employee assistance program
• Life and disability insurance
• Adoption assistance
• Back-up childcare
• Tuition/CFA reimbursement
• Paid time off (leave of absence, paid holidays, volunteer, sick and vacation time)