Design, build, and maintain lightweight AI agents and automation workflows to improve Technology and PMO processes
Develop retrieval-augmented generation (RAG) pipelines, prompt-based workflows, and internal copilots using modern LLM platforms
Automate repetitive operational tasks such as meeting summary generation and action tracking, status report roll-ups, intake triage and intelligent routing, approval reminders and workflow notifications
Create reusable prompt libraries and structured templates to improve output consistency and governance
Build simple APIs, scripts, or low-code automations (Python, Power Automate, etc.) to integrate AI tools with internal systems (e.g., ServiceNow, SharePoint, Monday.com)
Test, validate, and monitor AI outputs for accuracy, explainability, and risk alignment, escalating issues appropriately
Adhere to enterprise AI governance, security, and data privacy standards when developing automation solutions
Partner with senior AI engineers, architects, and business stakeholders to translate use cases into technical requirements and actionable development tasks
Support data preparation, transformation, and basic feature engineering activities for AI and analytics initiatives
Assist with model evaluation, prompt tuning, and output validation to ensure reliable performance
Contribute to experimentation and rapid prototyping of AI use cases across the organization while maintaining appropriate documentation and version control
Maintain version control and documentation for scripts, workflows, and automation assets.
Develop automated dashboards and reporting solutions to enhance portfolio transparency and decision support for leadership
Support tracking of initiative KPIs, benefits realization metrics, and AI use case value measurement
Prepare governance materials and executive-ready summaries using AI-assisted workflows to improve consistency and timeliness
Track action items and support structured follow-up to reinforce accountability and delivery discipline
Help improve PMO processes by identifying automation opportunities, standardizing templates, and eliminating manual steps where appropriate
Support maintenance of the Technology Book of Work, including tracking milestones, risks, dependencies, and status updates across AI and broader Technology initiatives.

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or related field
2–4 years of experience in AI, automation, analytics, software engineering, or technical analyst roles
Familiarity with Azure, Databricks, or similar data platforms preferred
Strong analytical and problem-solving skills
Ability to build prototypes quickly while maintaining structured documentation and governance awareness
Experience working in financial services or regulated environments (preferred)
Exposure to Agile or hybrid project delivery methodologies (preferred)
Strong written and verbal communication skills, with the ability to prepare clear summaries for both technical and non-technical audiences
Comfort working cross-functionally across Technology, Risk, Cyber, and Business teams.

Benefits

medical, dental and vision coverage
employer paid short & long-term disability and life insurance
401(k)
profit sharing
paid time off
Maven family & fertility benefit
parental leave (including adoption, surrogacy, and foster placement)
other voluntary benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI agentsautomation workflowsretrieval-augmented generation (RAG)prompt-based workflowsAPIsPythonPower Automatedata preparationfeature engineeringmodel evaluation

Soft Skills

analytical skillsproblem-solving skillsdocumentationgovernance awarenesscommunication skillscross-functional collaborationaccountabilitydelivery discipline

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in Data ScienceBachelor’s degree in Information Systems