Role : AI Architect
Location : Fort Mill, SC
Type : Contract
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 / Google Cloud Platform
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 to15 years overall experience
Minimum 3 to 5 years in AI/ML/GenAI architecture roles
Proven experience in building enterprise-scale agentic AI solutions
Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
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