GenAI Lead: Architect of Production-Grade AI Solutions

Synechron; New York (NY); Sur place; USD 140 000 - 155 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Global exposure

Paid time off

Résumé du poste

Synechron is seeking an experienced GenAI Lead to shape the organization's Generative AI strategy, drive architecture decisions, and oversee the delivery of production-grade GenAI solutions. You will lead cross-functional teams, collaborate with stakeholders, and ensure scalable, secure AI applications aligned with business goals.

The role demands deep expertise in LLMs, RAG, AI agents, and prompt engineering, with a focus on responsible AI, governance, and measurable business value.

Qualifications

• 12+ years in software engineering, data science, ML, or AI delivery.
• 2+ years designing and implementing Generative AI solutions.
• Strong experience with LLMs and foundation models.
• Proven experience building and deploying RAG-based apps and AI assistants.
• Strong Python programming skills.

Responsabilités

• Define and execute the organization's Generative AI technical strategy and roadmap.
• Lead architecture, design, development, and deployment of GenAI solutions.
• Build production-grade applications using large language models and AI services.
• Lead integration of GenAI with enterprise data platforms and APIs.
• Mentor and guide engineering teams in GenAI architecture and delivery.

Connaissances

GenAI

Large language models

Python

AI agents

RAG

Prompt engineering

Cloud platforms

Team leadership

Outils

LangChain

PyTorch

TensorFlow

Vector databases

Description du poste

Synechron is seeking an experienced GenAI Lead to shape the organization's Generative AI strategy, drive architecture decisions, and oversee the delivery of production-grade GenAI solutions. You will lead cross-functional teams, collaborate with stakeholders, and ensure scalable, secure AI applications aligned with business goals.

The role demands deep expertise in LLMs, RAG, AI agents, and prompt engineering, with a focus on responsible AI, governance, and measurable business value.