AI Engineer

- Design and implement Generative AI solutions leveraging large language models, Retrieval-Augmented Generation architecture patterns, semantic search, knowledge graphs, and enterprise knowledge integration.

- Implement Agentic AI solutions, including autonomous AI workflows, multi-agent orchestration, agentic frameworks, tool integration, guardrails, and human-in-the-loop controls for enterprise use cases. Establish prompt engineering, prompt management, evaluation, versioning, reuse, and lifecycle practices for scalable Generative AI delivery.

- Implement responsible AI and AI governance practices, including AI risk assessments, model explainability, transparency, validation, monitoring, and regulatory readiness for AI systems. Drive adoption of DevOps and MLOps practices, including CI/CD, infrastructure as code, automated testing, model deployment automation, monitoring, alerting, and release governance.
- Analyzing client regulatory and compliance workflows to identify opportunities for AI-enabled improvement.
- Developing AI solutions that support risk monitoring, regulatory reporting, and compliance review activities
- Translating complex business needs into practical technical requirements for automation and model-based tools
- Validating data sources and output logic to support accurate insights for compliance-focused decision making
- Applying AI fluency, data analysis, and digital tooling to streamline operational tasks and reduce manual effort
- Collaborating with client teams to assess control gaps, workflow bottlenecks, and emerging compliance needs
- Reviewing technical deliverables for alignment with regulatory risk requirements, governance expectations, and firm standards
- Supporting design discussions for AI-human collaboration use cases across managed services environments
- Documenting solution assumptions, limitations, and implementation considerations for technical and client stakeholders
- Mentoring junior team members on AI concepts, analytical methods, and practical application in compliance settings