GenAI Lead: LLM Architect & AI Solutions

Synechron; New York (NY); Hybrid; USD 100,000 - 120,000; Full time

Benefits offered by this job

Global offices abroad

Paid time off (10 annual + 10 personal

Comprehensive insurance (medical, dent

Flexible hybrid policy

RRSP with employer's contribution

Education and certification policy

Udemy for Business access

Coaching with FinLabs/CoEs

Projects with top banks and financials

Diverse global culture

Job summary

Synechron in New York City seeks an experienced GenAI Developer to lead design, development, and deployment of Generative AI solutions across the organization. You will drive end-to-end GenAI initiatives, collaborating with business, product, data, and security teams to identify high-value use cases and deliver scalable, secure AI outcomes.

The role emphasizes architecture, model selection, prompt engineering, and production-grade APIs using Python, with a strong focus on responsible AI,

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or Engineering.
• 6+ years in software engineering, data science, ML, or AI solution development.
• 3+ years delivering AI/ML or Generative AI solutions.
• Strong Python programming skills.
• Strong understanding of LLMs, transformer architectures, embeddings, tokens, context windows, and inference.
• Hands-on experience with RAG architectures and LLM application development.
• Experience with prompt engineering, model evaluation, and AI response optimization.
• Experience working with vector databases and semantic search.
• Strong knowledge of REST APIs, microservices, and cloud-native development.
• Experience with LangChain, LlamaIndex, Hugging Face, PyTorch, or TensorFlow.
• Experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud.
• Good understanding of databases, data pipelines, unstructured data, and knowledge management.
• Familiarity with CI/CD, Docker, Kubernetes, monitoring, and MLOps practices.
• Strong knowledge of software architecture, design patterns, scalability, and performance optimization.
• Excellent analytical, communication, leadership, and stakeholder-management skills.

Responsibilities

• Lead end-to-end design and implementation of GenAI solutions.
• Define the organization’s GenAI technical strategy, architecture, standards, and best practices.
• Identify and evaluate business use cases suitable for GenAI adoption.
• Design and develop LLM-powered applications, AI agents, copilots, chatbots, and automation solutions.
• Build and implement Retrieval-Augmented Generation pipelines using enterprise data sources.
• Work with foundation models such as OpenAI, Azure OpenAI, Google Gemini, Anthropic Claude, Meta Llama, or equivalent models.
• Develop prompt engineering strategies, prompt templates, evaluation frameworks, and guardrails.
• Design data ingestion, document processing, embedding, chunking, indexing, and retrieval workflows.
• Work with vector databases such as Pinecone, Weaviate, Milvus, Chroma, FAISS, or managed cloud alternatives.
• Lead model selection, fine-tuning, prompt tuning, and optimization based on business requirements.
• Develop scalable APIs and backend services using Python and appropriate frameworks.
• Establish practices for model evaluation, hallucination reduction, response quality, latency, and cost optimization.
• Ensure solutions comply with security, privacy, responsible AI, governance, and regulatory requirements.
• Collaborate with data scientists, ML engineers, software developers, DevOps, product managers, and business stakeholders.
• Mentor engineers and provide technical guidance across GenAI initiatives.
• Conduct technical reviews, proof-of-concepts, and architecture assessments.
• Monitor production systems and continuously improve performance, reliability, and user experience.
• Stay updated with emerging developments in LLMs, multimodal AI, agentic AI, and AI infrastructure.

Skills

Python

LLMs

RAG

Cloud platforms

LangChain

LlamaIndex

Hugging Face

PyTorch

TensorFlow

REST APIs

Microservices

CI/CD

Docker

Kubernetes

MLOps

Education

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering

Tools

LangChain

LlamaIndex

Hugging Face

PyTorch

TensorFlow

OpenAI

Azure OpenAI

Job description

Synechron in New York City seeks an experienced GenAI Developer to lead design, development, and deployment of Generative AI solutions across the organization. You will drive end-to-end GenAI initiatives, collaborating with business, product, data, and security teams to identify high-value use cases and deliver scalable, secure AI outcomes.

The role emphasizes architecture, model selection, prompt engineering, and production-grade APIs using Python, with a strong focus on responsible AI,