AI Engineer Lead/Architect

Synechron; Charlotte (NC); On-site; USD 180,000 - 260,000; Full time

Job summary

Synechron seeks an experienced AI Lead/Architect to drive the design, development, and deployment of enterprise-scale AI and Generative AI solutions.

You will define AI strategy, governance, and best practices while mentoring engineering teams to deliver scalable business outcomes across the organization.

Qualifications

• 12+ years in software eng, data eng, AI/ML or solution architecture.
• 5+ years leading AI/ML or data science initiatives.
• Strong expertise in Generative AI, LLMs and RAG.

Responsibilities

• Lead architecture, design, and delivery of enterprise AI solutions.
• Define AI strategy, governance, and best practices.
• Develop AI agents, copilots, and conversational platforms for enterprises.
• Design MLOps and LLMOps for deployment, monitoring, and governance.

Skills

AI leadership

LLMs

Prompt engineering

MLOps

Knowledge graphs

Agentic AI

Tools

Azure OpenAI

Azure AI Services

Microsoft Copilot Studio

Python

REST APIs

Job description

We are seeking an experienced AI Lead/Architect to drive the design, development, and implementation of enterprise-scale AI and Generative AI solutions. The ideal candidate will possess deep expertise in AI/ML, Large Language Models (LLMs), Microsoft Copilot technologies, Agentic AI, and cloud-native architectures. This role requires strong leadership capabilities to define AI strategy, mentor engineering teams, and deliver innovative business solutions.

Key Responsibilities

• Lead the architecture, design, and delivery of enterprise AI and Generative AI solutions.
• Define AI strategy, roadmap, governance, and best practices across the organization.
• Design and implement AI-powered applications utilizing LLMs, RAG, Knowledge Graphs, Vector Databases, and Agentic AI frameworks.
• Architect and develop solutions using Microsoft Copilot Studio, Azure AI Services, Azure OpenAI, and Microsoft ecosystem technologies.
• Collaborate with business stakeholders to identify AI use cases and translate them into scalable technical solutions.
• Develop AI agents, copilots, and conversational AI platforms for enterprise users.
• Design MLOps and LLMOps frameworks for model deployment, monitoring, governance, and lifecycle management.
• Ensure AI solutions comply with security, privacy, responsible AI, and regulatory requirements.
• Provide technical leadership, conduct architecture reviews, and mentor development teams.
• Establish standards for prompt engineering, AI model evaluation, and performance optimization.

Required Qualifications

• 12+ years of experience in Software Engineering, Data Engineering, AI/ML, or Solution Architecture.
• 5+ years of experience leading AI/ML or Data Science initiatives.
• Strong expertise in:
• Generative AI and Large Language Models (GPT, Claude, Gemini, Llama)
• Retrieval-Augmented Generation (RAG)
• Agentic AI and Multi-Agent Systems
• Prompt Engineering
• Knowledge Graphs and Graph Databases (TigerGraph, Neo4j)
• Machine Learning and Deep Learning frameworks
• Hands-on experience with:
• Python, SQL, REST APIs
• Strong understanding of API integration, microservices, and event-driven architectures.
• Excellent communication, stakeholder management, and leadership skills.

This is an excellent opportunity for a visionary AI leader to shape enterprise AI strategy and build next-generation Copilot and Agentic AI solutions at scale.