AI Architect- Agents Development

We are:

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.

Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets.

Our challenge:

We are seeking an experienced GenAI Architect to lead the design, development, and implementation of enterprise-scale Generative AI solutions. The ideal candidate will possess deep expertise in Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), AI governance, cloud platforms, and modern software architecture principles. This role will collaborate with business stakeholders, engineering teams, data scientists, and product owners to drive AI transformation initiatives and deliver scalable, secure, and production-ready AI solutions.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Charlotte, NC is $120k - $130k/year & benefits (see below).

The Role

Responsibilities:

Define enterprise GenAI strategy, architecture standards, and AI adoption roadmaps.

Design and implement end-to-end GenAI solutions leveraging LLMs, RAG, AI Agents, and multi-agent systems.

Architect scalable AI applications using OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, Llama, Mistral, and other foundation models.

Lead the design and implementation of AI agent frameworks such as Lang Graph, CrewAI, Auto Gen, Semantic Kernel, and ADK.

Design knowledge retrieval architectures using vector databases and semantic search technologies.

Develop AI governance frameworks covering security, compliance, observability, responsible AI, and model evaluation.

Architect solutions for prompt engineering, model fine-tuning, grounding, and optimization.

Collaborate with engineering teams to establish CI/CD, MLOps, and LLMOps best practices.

Drive solution reviews, POCs, and production deployments across business functions.

Provide technical leadership and mentorship to AI Engineers, Data Scientists, and Architects.

Evaluate emerging AI technologies and recommend enterprise adoption strategies.

Partner with executive leadership to identify business opportunities through GenAI innovation.

Required Skills:

GenAI & LLM Technologies

• Large Language Models (GPT, Claude, Gemini, Llama, Mistral)
• Prompt Engineering and Prompt Optimization
• Retrieval-Augmented Generation (RAG)
• Fine-Tuning and PEFT techniques
• AI Agents and Multi-Agent Architectures
• Function Calling and Tool Integration
• Model Evaluation and Benchmarking

Agentic AI Frameworks

• Lang Chain
• Lang Graph
• CrewAI
• Auto Gen
• Microsoft Semantic Kernel
• Google Agent Development Kit (ADK)
• OpenAI Agents SDK

Vector Databases

• Pinecone
• Weaviate
• ChromaDB
• Qdrant
• Azure AI Search
• Elasticsearch/Open Search

Cloud Platforms

• Microsoft Azure
• Azure OpenAI Services
• AWS Bedrock
• Google Vertex AI
• Databricks AI Platform

Programming & Development

• Python
• FastAPI
• REST APIs
• Microservices Architecture
• Java (Preferred)
• Node.…