Senior AI Architect

Description

• Translate business opportunities into prioritized AI use cases, target architectures, delivery approaches, and investment recommendations.

• Evaluate technology choices and architecture trade-offs across models, platforms, orchestration frameworks, retrieval approaches, and integration patterns.

• Graduate selected solutions from discovery and proof of concept through technical validation, production design, deployment, and operational readiness.

• Conduct design and code reviews, troubleshoot complex cross-layer issues, and provide practical technical direction to engineering teams.

• Design safe single-agent and multi-agent workflows with clear task boundaries, controlled permissions, escalation paths, and failure handling.

• Integrate agents with enterprise applications, APIs, event-driven services, data platforms, content repositories, and business workflows.

• Create automated regression tests, representative evaluation datasets, and human-review processes for prompts, retrieval, tools, models, and agent behavior.

• Apply AI-specific security controls for prompt injection, data leakage, unsafe tool execution, sensitive information, identity, authorization, auditability, and workload isolation.

• Partner with business, product, architecture, data, security, platform, and engineering teams to deliver measurable value and sustainable adoption.

• Monitor emerging AI technologies and recommend adoption only where they provide clear business, engineering, or operational value.

• Demonstrated experience designing, developing, deploying, and supporting enterprise-scale Generative AI and/or Agentic AI solutions in production environments.

• Experience working with enterprise data, APIs, applications, workflow platforms, and knowledge management systems.

• Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agent frameworks, and AI solution architecture.

• Knowledge of responsible AI principles, including security, privacy, governance, compliance, explainability, and risk management considerations.

• Strong analytical, problem-solving, collaboration, and stakeholder management skills, with the ability to work effectively across multidisciplinary and globally distributed teams.

• Demonstrated experience designing, implementing, operating, and continuously improving enterprise AI solutions in production environments across the full solution lifecycle.

• Experience implementing AI solutions within regulated or security-conscious environments.

• Relevant AI, cloud, architecture, security, or DevOps certifications.

As the World Bank Group continues to evolve, we value candidates who:

1. Sense of urgency: Anticipate and quickly respond to the needs of internal and external stakeholders.
2. Thoughtful risk-taking: Challenge the status quo and push boundaries to achieve greater impact.
3. Empowerment and accountability: Empower yourself and others to act and hold each other accountable for results.

World Bank Group Core Competencies

The World Bank Group offers comprehensive benefits, including a retirement plan; medical, life and disability insurance; and paid leave, including parental leave, as well as reasonable accommodations for individuals with disabilities.

We are proud to be an equal opportunity and inclusive employer with a dedicated and committed workforce, and do not discriminate based on gender, gender identity, religion, race, ethnicity, sexual orientation, or disability.

Learn more about working at the World Bank and IFC including our values and inspiring stories.