Gen AI Architect

Job Title : Gen AI Lead /Architect

Location: NYC, NY (Hybrid)

Job type : W2 only

Interview Mode – Final round is In -Person

We have role for Engineer and lead/Architect

Overview

We are seeking a highly skilled and hands-on GenAI Engineer and Lead / Architect to spearhead the design, development, and deployment of enterprise-scale Generative AI solutions. The ideal candidate will possess deep expertise in Agentic AI workflows, RAG architectures, LLM orchestration, workflow automation, and scalable AI platform engineering , combining technical mastery with the ability to transform complex business challenges into impactful AI-driven solutions.

Key Responsibilities

• Lead the architecture, design, and implementation of enterprise GenAI platforms and AI-powered applications.
• Design and develop Agentic AI workflows leveraging autonomous and multi-agent frameworks.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines integrating enterprise knowledge sources.
• Develop intelligent workflow automation solutions utilizing GenAI and AI agents.
• Collaborate with business stakeholders to identify AI opportunities, define use cases, and engineer scalable solutions.
• Create AI solutions for:
• Business process automation
• Knowledge management
• Intelligent document processing
• Conversational AI
• Decision support systems
• Code generation and developer productivity
• Design scalable APIs and microservices to power AI applications.
• Implement observability, monitoring, guardrails, security, and governance for AI systems.
• Optimize LLM performance, prompt engineering, latency, and cost efficiency.
• Mentor engineering teams and establish best practices in AI engineering.
• Drive deployment automation and ensure production readiness through DevOps and MLOps practices.

Required Skills & Experience

Generative AI & LLMs

• Proven experience with:
• OpenAI GPT models, Claude, Gemini, Llama, Mistral
• Expertise in:
• Prompt engineering, fine-tuning, function calling, tool integration
• AI agent orchestration and context management
• Memory handling

Agentic AI & Workflow Orchestration

• Hands-on experience designing autonomous AI systems with:
• LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, LlamaIndex
• Deep understanding of:
• Multi-agent systems, planning, reasoning workflows, human-in-the-loop workflows, AI orchestration patterns

RAG & Knowledge Systems

• Practical experience with:
• RAG architecture, vector databases, embedding models, semantic and hybrid search, document ingestion pipelines
• Familiarity with vector databases such as Pinecone, Weaviate, ChromaDB, FAISS, Milvus, Elasticsearch/OpenSearch

Backend & API Development

• Strong Python programming skills
• Experience building:
• REST APIs, FastAPI/Flask microservices, async processing pipelines
• Familiar with API integration patterns and enterprise system integration

Cloud, DevOps & Deployment

• Experience with:
• Docker, Kubernetes, CI/CD pipelines, GitHub Actions, Jenkins, GitLab CI, Terraform
• Cloud expertise in AWS, Azure, or GCP
• Exposure to MLOps, model deployment, monitoring, logging, AI governance, and security

Frontend & UI

• Working knowledge of:
• Angular, TypeScript, React (preferred)
• Ability to collaborate on AI-powered UI/UX and conversational interfaces

Data & Databases

• Experience with:
• SQL/NoSQL databases, PostgreSQL, MongoDB, Redis
• Data pipelines and ETL workflows

Nice-to-Have Skills

• Experience with AI copilots and enterprise assistants
• Knowledge of MCP (Model Context Protocol)
• Workflow tools such as Apache Airflow, n8n, Temporal, Camunda
• AI security, responsible AI, and governance frameworks
• Domain expertise in Capital Markets, Banking, Healthcare, Retail, or other enterprise sectors
• Familiarity with OCR, speech-to-text, and multimodal AI solutions

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or a related field
• 8+ years of software engineering experience, with at least 3+ years in AI/GenAI architecture and solutioning
• Strong communication and stakeholder management skills
• Proven leadership in driving enterprise AI adoption

Preferred Profile

• Innovative problem solver capable of translating ambiguous business challenges into scalable AI solutions
• Ability to balance innovation with enterprise-grade architecture and operational excell…