Job Title: AI Engineer

Location: Jersey City, New Jersey

Sector: Banking & Financial Services

Job Description

We are seeking a highly skilled AI Engineer to join our team in New Jersey. The ideal candidate will have strong enterprise-level AI/ML engineering experience, excellent communication skills, and the ability to work closely with both technical and business stakeholders. This role requires hands-on expertise in AI agent architecture, RAG solutions, vector stores, and secure enterprise integrations. Experience within the Banking/Financial Services sector is highly preferred.

Key Responsibilities

• Design and implement end-to-end architecture for AI agents across enterprise platforms.
• Define integration points with authentication, entitlements, and existing enterprise systems.
• Lead the implementation of a centralized Vector Store and content ingestion pipeline.
• Ensure all AI systems comply with security, privacy, and regulatory requirements.
• Implement embedding generation, vector similarity search, and retrieval workflows.
• Optimize AI models for high performance (response time < 30 seconds, accuracy > 90%).
• Collaborate with compliance teams to build explainability and audit-friendly solutions.
• Develop ingestion pipelines for structured and unstructured data.
• Build scalable Vector Store solutions with metadata-driven and entitlement-aware retrieval.
• Integrate AI systems with content platforms such as AEM, SharePoint, and Content Cloud.
• Ensure robust audit logging, encryption, and data protection standards.
• Develop automated and manual test plans for AI agents, model performance, and retrieval accuracy.

Required Skills & Experience

• Strong expertise in AI/ML architecture, enterprise integration, and scalable system design.
• Hands-on experience with RAG (Retrieval-Augmented Generation) frameworks.
• Deep understanding of IAM, RBAC, and financial services compliance requirements.
• Experience with cloud platforms such as AWS or Azure, including containerized deployments.
• Proficiency in Python and frameworks like TensorFlow or PyTorch.
• Experience using OpenAI, Cohere, or local embedding models.
• Strong knowledge of NLP, semantic search, and multi-turn conversational AI.
• Familiarity with CI/CD practices for ML pipelines and model deployment.
• Strong backend development skills (Java, Python, Node.js).
• Hands-on experience with vector databases (e.g., OpenSearch, Pinecone, Weaviate).
• Expertise in API development and enterprise system integrations.
• Knowledge of data security, encryption, and compliance frameworks.
• Strong skills in SQL, data modeling, and ETL tools.
• Familiarity with AWS Textract or other OCR services.
• Understanding of financial data schemas, governance, and industry standards.