Lead Architect, AI Solutions Architecture - BSI​/Cyber

Compensation Overview

The annual base salary range for this position is $ - $. Salary will be determined by factors such as scope, complexity, location, skills, education, training, credentials, experience, and other conditions of employment. Employees are also eligible for performance‑based cash incentive awards.

Collaborative Environment, Transformational Projects, and a Growing Team!

As a Lead Architect, you will collaborate with senior Technology and Business leaders, apply your deep technical proficiency and visionary thinking to architect AI systems that drive business value while maintaining ethical standards.

• Scope:
  Responsible for architecture for multiple technology and/or business segments/domains for a single business unit.
• Technical Execution:
  Define and lead technology proof of concepts to ensure feasibility of architecture solutions.
• Proactively identify opportunities to capitalize on technology advances through analysis of key industry and technology trends.
• Drive continuous technology transformation to minimize technical debt.
• Conduct hands‑on prototyping of new technology solutions.
• Partner with Technology and Business leadership to ensure proper alignment with technology direction and execution of proof of technologies.
• Strategic Accountability:
  Provide strong thought leadership in pursuit of modern architecture principles and technology modernization.
• Engage with senior leaders to develop architecture priorities and direction to enable business imperatives and gain buy‑in.
• Prepare and deliver communications to convey architectural direction.
• Drive strategic relationships and champion organizational buy‑in.
• Perform other duties as assigned.

• Bachelor’s degree in technology‑related field or equivalent, with 8 to 10 years of architecture experience.
• Advanced level architecture and recent hands‑on strong engineering experience with modern technologies.
• Successful execution of complex, large‑scale technology strategies.
• Advanced leadership skills with ability to collaborate across functions and influence architecture and engineering leaders.
• Extensive experience in an agile operational model and supporting transformational change.
• Experience developing technology target states and roadmaps aligned to business goals.
• Insurance technology experience preferred.
• Strong understanding of value creation and business capability models and the insurance industry.
• Advanced and effective verbal, written, and listening communication skills.

• Proven track record defining scalable, production‑grade AI systems, including distributed and parallel processing architectures.
• Hands‑on expertise in AI/ML development and deployment, with deep knowledge of ML algorithms, neural network architectures, and optimization techniques.
• Strong mathematical foundation in linear algebra, statistics, and probability theory.
• Experience with MLOps & AI Ops practices and CI/CD pipelines for AI/ML systems.
• Hands‑on experience with agentic coding tools such as Claude Enterprise, OpenAI Codex, and Git Hub Copilot.
• Hands‑on experience with Generative AI foundations—transformer architectures, LLMs, diffusion models, VAEs, GANs, prompt engineering, fine‑tuning, and RLHF.
• Experience with multimodal AI systems.
• Experience building autonomous AI systems with planning and reasoning capabilities, including reinforcement learning and decision‑making frameworks.
• Hands‑on experience with agentic patterns—tool use, function calling, API integration, memory systems, RAG, vector databases, and multi‑agent orchestration.
• Hands‑on or working experience with agent orchestration frameworks (Lang Chain, Strands, Crew AI) and protocols including MCP and Agent2
  
  Agent.
• Deep experience with cloud AI services such as AWS Bedrock (including optional Azure Foundry/Agent 365 or GCP/Gemini AI), including SaaS AI and agentic capabilities.
• Knowledge of AI ethics, bias mitigation, responsible AI practices, and regulatory frameworks (EU AI Act, GDPR).
• Experience with AI governance frameworks and model risk management.

• Bachelor’s degree in computer science, related STEM field, or its equivalent in education…