AI Architect

Role Summary- AI Architect

Fort Mill SC

We are seeking experienced AI Architects to lead the design development and enterprise adoption of AI/GenAI solutions including advanced agentic AI systems across BFS clients.


The role requires strong experience in building production-grade enterprise agentic applications with a focus on scalability performance (sub-2 second response times) and robust observability.





Key Responsibilities

• Define AI architecture strategies aligned with business goals
• Design and implement GenAI / Agentic AI solutions (LLMs copilots autonomous agents) using modern frameworks
• Lead end-to-end AI solutioning (use case design deployment scale)
• Architect microservices-based cloud-native AI platforms
• Develop enterprise-grade agentic systems including:
• Tool invocation and orchestration
• Memory management
• Agentic identity and access control
• MCP gateways and integrations
• Ensure high-performance systems with < 2s response time for production workloads
• Implement observability and monitoring frameworks for AI/agent systems
• Define AI governance security and compliance frameworks
• Collaborate with:
• Business stakeholders
• Domain SMEs
• Engineering & delivery teams
• Drive reuse of AI accelerators and enterprise assets
• Guide teams on MLOps / LLMOps / Prompt Engineering practices

Required Skills

• Core AI & Agentic Stack
• Strong experience in:
• AI/ML GenAI LLMs (OpenAI Claude etc.)
• Agent-based frameworks and ecosystems
• LangChain LangGraph for agent orchestration
• AWS Bedrock for enterprise GenAI solutions
• Development & Architecture

Hands-on knowledge of:

• Python (mandatory) Java (preferred)
• REST APIs microservices architecture
• Experience designing scalable production-grade agent systems

Cloud & Data


Cloud platforms:
AWS (preferred) / Azure / GCP
Experience in:
Vector databases (Pinecone FAISS)
RAG (Retrieval-Augmented Generation) architectures
Enterprise Capabilities


Experience in:

• Observability integration for AI systems
• Tool calling frameworks and agent orchestration
• Memory handling in agent workflows
• Secure agent identity and access control
• Strong understanding of:
• Security Responsible AI Data Privacy

Experience

• 10 to 15 years overall experience
• Minimum 3 to 5 years in AI/ML/GenAI architecture roles
• Proven experience in building enterprise-scale agentic AI solutions