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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI and automation, with a focus on building and operating AI agents, ensuring safe adoption practices, and establishing technical standards. Proficient in Python and various Microsoft platforms, with a strong ability to evaluate and integrate AI tooling within enterprise systems.
Highest-signal resume keywords
AI Agent DevelopmentPython AutomationClaude Code ExperienceMicrosoft Power PlatformData Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Agent DevelopmentPythonClaude CodeData Workflow AutomationPrompt EngineeringError HandlingData ReconciliationAutomation StandardsUnattended SystemsLarge Dataset Management
Soft Skills
Strong Communication SkillsTeam Collaboration
Tools & Technologies
ClaudePower AppsPower BIDataversePower AutomateMicrosoft GraphCopilot Studio
Certifications & Qualifications
Cloud Engineering CertificationData Engineering CertificationSecurity Engineering Certification
Industry Keywords
AI Adoption PracticesAutomation RoadmapEnterprise Systems IntegrationGoverned Enterprise EnvironmentTechnology Risk Reporting
Tech Stack
Tools & technologiesCloudPandasPython
About the role
Key responsibilities & impact- Design, build and operate AI agents and automation producing recurring program reporting using Claude and Claude Code integrated with enterprise systems
- Own the AI and automation roadmap, prioritizing work by effort saved and risk reduced
- Guide Technology Assurance, Risk and Policy teams on appropriate AI and agentic AI applications
- Establish safe and consistent AI adoption practices across the function
- Define verification of AI output, including reconciliation and source-data checks on every run
- Set standards for agent scoping, prompt and context engineering, repeatability testing, documentation and sensitive-data handling
- Advise program leadership on AI suitability, conventional alternatives, cost, risk and effort
- Evaluate AI tooling and models and introduce valuable solutions
- Build resilient, supportable automation with error handling, secure credential management, logging, alerting, version control and documentation
- Work with IT and Information Security to secure approvals, connectivity and ongoing support for AI tooling
- Represent the program’s AI and automation position to senior stakeholders and governance forums
- Develop AI engineering capability through reusable components, documented patterns and practical working sessions
Requirements
What you’ll need- At least 10 years of experience in software, automation or data engineering, including significant time as a senior individual contributor with technical ownership of production systems
- Demonstrable experience building production solutions with Claude, including Claude Code and the Claude Agent SDK
- Experience designing end-to-end agentic workflows
- Practical prompt and context engineering, including testing model output for reliability and repeatability
- Strong Python, including document and data workflow automation with python-pptx, python-docx, openpyxl and pandas, or equivalent
- Microsoft platform experience with Power Apps, Power BI, Dataverse, Copilot Studio and Microsoft Graph
- Production experience with Power Automate or another major enterprise workflow automation platform, including error handling and unattended runs
- Track record of automating a recurring operational or reporting process end to end, with demonstrable outcomes
- Experience building reliable unattended systems with error handling, credential management, logging, alerting and scheduling
- Experience working with large datasets from multiple systems, including reconciliation and assessing data support for conclusions
- Experience setting technical standards through reviews, shared components or documented patterns
- Degree in Computer Science, Engineering, Information Systems or a related discipline, or equivalent work experience
- Strong English communication skills and ability to work with diverse, globally distributed teams
- Experience integrating AI tooling with enterprise systems and data sources preferred
- Experience introducing AI tooling into a governed enterprise environment preferred
- Experience evaluating models or agent frameworks and making adoption recommendations preferred
- Experience delivering security, technology risk or audit reporting to senior audiences preferred
- Familiarity with vulnerability management data and tooling preferred
- Experience coaching or building technical capability in non-engineering colleagues preferred
- Relevant cloud, data or security engineering certification preferred
Benefits
Comp & perks- Continuous learning opportunities
- Tools and flexibility to make a meaningful impact
- Leadership insights, coaching and confidence-building
- Diverse and inclusive culture
- Collaboration on exciting projects with well-known global brands
- Access to an ecosystem of people, learning, skills and insights throughout the career