About this role
Design and develop enterprise-grade Generative AI and Agentic AI solutions.
• Build AI-powered assistants, copilots, and intelligent workflow automation platforms.
• Implement and optimize: Large Language Models (LLMs), Retrieval Augmented Generation (RAG),
Multi-Agent Systems, Semantic Search architectures
• Develop AI orchestration frameworks for autonomous and collaborative AI agents.
• Build scalable AI pipelines and microservices using Python and modern AI frameworks.
• Design vector search and enterprise knowledge retrieval solutions.
• Fine-tune prompts, optimize inference performance, and improve AI response quality.
• Develop secure API integrations and event-driven AI architectures.
• Collaborate with product, architecture, security, and engineering teams.
• Ensure responsible AI governance, security, compliance, and observability standards.
• Support deployment, monitoring, and continuous improvement of AI systems in production
Experience building enterprise AI copilots and autonomous AI agent platforms.
• Background in Financial Services, Cards & Payments, Fraud & Disputes, or Customer Servicing
domains.
• Experience with conversational AI, intelligent automation, and enterprise search solutions.
• Exposure to highly regulated enterprise environments.
• Strong stakeholder communication and architecture leadership skills.
Tools & Technologies
AI & GenAI - OpenAI, Azure OpenAI, Anthropic Claude, Hugging Face, LangChain, LangGraph, LlamaIndex,
Transformers
AI/ML & NLP - Python, PyTorch, TensorFlow, Scikit-learn, NLP, Prompt Engineering, AI Agents, RAG
Pipelines
Vector & Search Technologies - Pinecone, Weaviate, FAISS, ChromaDB, Elasticsearch, OpenSearch
Cloud & DevOps - AWS, Azure, GCP, Docker, Kubernetes, Jenkins, GitHub Actions, Azure DevOps
Integration Technologies - REST APIs, Microservices, Kafka, JSON/XML, API Gateway
Monitoring & Observability - Splunk, Dynatrace, Prometheus, Grafan