AI Technical Strategist

About GBLI | Global Indemnity

GBLI | Global Indemnity provides specialty property and casualty insurance for small to middle-market businesses. The company emphasizes a customer-centric mentality and disciplined underwriting practices in a flexible, friendly, and collaborative environment, offering numerous career advancement opportunities.

What GBLI Offers You

• Generous paid time off (PTO)
• Professional development opportunities including mentorship
• Educational assistance up to $5,250 per year
• Comprehensive health, vision, and dental insurance
• Paid Parental Leave and Life insurance
• 401(k) retirement plan with up to 6% company match
• Flexible spending accounts, disability coverage, and social events
• Committee involvement including Diversity and Charitable Giving

Salary Range

The typical starting salary range is between $106,100 and $160,000 with opportunities for bonuses and growth.

Essential Duties & Functions

Deep Technical Builder

• Design and implement end-to-end AI-enabled applications.
• Develop data pipelines and select appropriate AI models.
• Work with LLM engineering, prompt architecture, and agentic AI.
• Hands-on experience with Microsoft stack such as Azure OpenAI and M365 Copilot.

Governance Mindset

• Develop and execute AI governance strategy.
• Translate policies into enforceable technical controls.
• Integrate safety and observability into AI systems from day one.
• Conduct audits and ensure compliance with frameworks like NIST and ISO.

Product Thinking

• Translate business challenges into measurable AI product designs.
• Balance speed and risk while determining when to experiment.

Communication & Influence

• Explain AI concepts in simple language for business leaders.
• Lead workshops and craft clear technical documentation.
• Collaborate with governance and adoption teams.

Adaptability & Curiosity

• Learn rapidly and adapt in ambiguous environments.
• Embrace a builder’s mindset and drive continuous improvement.

Qualifications

• Bachelor’s degree in computer science, engineering, or related field.
• 5+ years in solution architecture, AI/ML engineering, or systems integration.
• Strong knowledge of cloud platforms, preferably Azure.
• Experience with AI governance, enterprise architecture, and responsible AI frameworks.
• Proficiency in coding languages like Python, R, JavaScript/TypeScript, C#, or Java.
• Familiarity with Azure AI Foundry, Copilot Studio, and CI/CD pipelines using tools like Bicep and Kubernetes.
• Understanding of data governance, security, and privacy-by-design principles.

Key skills/competency

• AI-enabled apps
• LLM engineering
• Microsoft Azure
• Data pipelines
• Governance
• Compliance
• Product design
• Technical documentation
• CI/CD
• Cloud platforms