Gen AI Lead/Architect

Synechron•New York, NY

5d•$115,000 - $130,000•Hybrid

About The Position

We are seeking a hands-on GenAI Lead / Architect to design, develop, and deploy enterprise-scale Generative AI solutions. The role focuses on Agentic AI, RAG architectures, LLM orchestration, workflow automation, and scalable AI platform engineering.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field, or equivalent practical experience.
Strong expertise in Generative AI and LLMs, including OpenAI GPT, Claude, Gemini, Llama, or Mistral, with knowledge of prompt engineering, fine-tuning, function calling, tool integration, agent orchestration, context management, and memory handling.
Proficiency in Python and experience building REST APIs, microservices, and enterprise integrations using FastAPI or Flask.
Practical experience with RAG architecture, vector databases, embedding models, semantic and hybrid search, and document ingestion pipelines, using technologies such as Pinecone, Weaviate, ChromaDB, FAISS, Milvus, Elasticsearch, or OpenSearch.
Knowledge of Docker, Kubernetes, CI/CD, GitHub Actions, Jenkins, GitLab CI, Terraform, and cloud platforms such as AWS, Azure, or GCP.
Familiarity with MLOps, model deployment, monitoring, logging, AI governance, security, SQL/NoSQL databases, and data pipelines.
Strong communication, problem-solving, and stakeholder management skills.

Nice To Haves

Working knowledge of Angular, TypeScript, or React.
Experience building AI copilots, enterprise assistants, conversational interfaces, or AI-powered user experiences.
Familiarity with MCP (Model Context Protocol).
Experience with Apache Airflow, n8n, Temporal, or Camunda.
Knowledge of AI security, responsible AI, governance, and model evaluation frameworks.
Ability to balance innovation with scalability, reliability, security, and operational excellence.

Responsibilities

Lead the architecture, design, and implementation of enterprise GenAI platforms and applications.
Design Agentic AI and multi-agent workflows using LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or Llama Index.
Build and optimize RAG pipelines, vector search solutions, embedding workflows, and enterprise knowledge systems.
Develop AI solutions for business process automation, knowledge management, intelligent document processing, conversational AI, decision support, and developer productivity.
Build scalable APIs and microservices using Python, FastAPI, or Flask.
Implement AI monitoring, observability, security, governance, guardrails, and responsible AI practices.
Optimize prompts, context management, model performance, latency, reliability, and cost.
Drive cloud deployment, CI/CD, DevOps, and MLOps practices.
Collaborate with stakeholders to identify AI opportunities and translate business needs into scalable solutions.
Mentor engineering teams and establish enterprise AI best practices.

Benefits

A highly competitive compensation and benefits package.
A multinational organization with 58 offices in 22 countries and the possibility to work abroad.
10 days of paid annual leave (plus sick leave and national holidays).
Maternity & paternity leave plans.
A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
Retirement savings plans.
A higher education certification policy.
Commuter benefits (varies by region).
Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
A flat and approachable organization.
A truly diverse, fun-loving, and global work culture.