Specialized Analytics Ld Anlst

About the Role

We are looking for an experienced AI Engineer to design, develop, and deploy enterprise-grade AI solutions that transform how Third-Party Management teams assess, monitor, and manage supplier and vendor risks. This role combines software engineering, AI engineering, analytics, and product development to build intelligent applications that improve operational efficiency, decision quality, and user experience. The successful candidate will partner closely with business stakeholders, data engineers, technology teams, and AI governance partners to deliver scalable AI capabilities aligned with enterprise standards.

Key Responsibilities

AI Solution Development

• Design and build enterprise AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI architectures.
• Develop AI-powered copilots, knowledge assistants, workflow automation, and decision-support tools.
• Build reusable AI services, APIs, and components for enterprise adoption.
• Develop multi-agent workflows for complex business processes.

Knowledge Engineering

• Design enterprise knowledge repositories using vector databases and knowledge graphs.
• Build document ingestion, metadata extraction, semantic search, and retrieval pipelines.
• Improve retrieval quality through evaluation and continuous optimization.
• Ensure knowledge assets remain governed, traceable, and reusable.

Software Engineering

• Build scalable Python-based backend services and APIs.
• Develop modern web applications using enterprise UI frameworks.
• Integrate AI services with internal data platforms and enterprise applications.
• Write clean, modular, and production-ready code.

AI Governance

• Ensure AI solutions comply with enterprise governance, security, and model risk requirements.
• Support model evaluation, monitoring, auditability, and explainability.
• Collaborate with AI governance teams on documentation and deployment approvals.

Collaboration

• Partner with business stakeholders to understand challenges and identify AI opportunities.
• Work closely with technology, architecture, cybersecurity, and data engineering teams.
• Support production deployment and operationalization of AI solutions.
• Mentor junior engineers and contribute to AI engineering best practices.

Requirements & Tech Stack

Programming

• Python
• SQL
• JavaScript/TypeScript (preferred)

AI & Machine Learning

• LLM applications
• RAG
• Embeddings
• Prompt engineering
• AI Agents
• NLP Frameworks
• Google ADK
• OpenAI APIs
• Model Context Protocol (MCP)

Data Technologies

• PostgreSQL
• Vector databases
• Knowledge Graphs
• Neo4j
• Redis

Engineering

• FastAPI
• REST APIs
• Git
• Docker
• Kubernetes
• CI/CD

Qualifications

• Bachelor’s degree in computer science, Engineering, Mathematics, or related discipline. Master’s degree preferred.
• Significant experience in software engineering, AI engineering, analytics, or data science.
• Strong Python programming skills.
• Experience building REST APIs and backend applications.
• Knowledge of SQL and data engineering concepts.
• Experience working with cloud platforms and enterprise application development.
• Strong problem-solving and stakeholder management skills.
• Excellent written and verbal communication.
• Experience in one or more of the following:
• LLM application development
• Retrieval-Augmented Generation (RAG)
• Agentic AI frameworks
• Prompt engineering
• Vector databases
• Knowledge Graphs
• AI orchestration frameworks
• Enterprise AI platforms
• Model evaluation frameworks
• MLOps or LLMOps
• Kubernetes
• CI/CD
• Banking, financial services, or risk management