What are the responsibilities and job description for the AI LEAD / Architect - Atlanta, GA- 5days Onsite position at Systems Management Group, Inc?
Role: AI LEAD / Architect
Location: Atlanta, GA- 5 days Onsite
REQUIRED QUALIFICATIONS:
Agentic AI & LLM Engineering
- 7 years of software engineering experience with 3 years in AI/ML or LLM-based systems
- Hands-on experience building production-grade agentic or multi-agent AI workflows
- Proficiency with GenAI agentic frameworks: LangGraph, Semantic Kernel, AutoGen, CrewAI, or LangChain
- Working knowledge of agentic protocols: MCP (Model Context Protocol), A2A (Agent-to-Agent), AG-UI, and CodeAct/Code Interpreter patterns
- Strong experience with context management strategies, agent skill design, agent evaluation, and agent harness construction
- Proficiency with OpenAI APIs (GPT-4o, function calling, Assistants API) and Anthropic Claude APIs
- RAG pipeline design: vector databases (Azure AI Search, PostgreSQL pgvector, Cosmos DB), chunking, embedding, and retrieval strategies
- Ability to pivot across agentic framework approaches and managed agent platforms as the ecosystem evolves
Full-Stack & API Engineering
- Full-stack experience with React; ability to build streaming agent interaction UIs, AG-UI components, and HITL design patterns
- Strong REST API and webhook design and implementation skills
- Proficiency in Python (intermediate level) and TypeScript for AI application and backend development
Cloud, Infrastructure & Architecture
- Strong Azure platform experience: Azure AI Foundry, Azure OpenAI, Azure ML, AKS, Azure Functions, API Management, Event Grid, Service Bus
- Infrastructure as Code using Terraform; pipeline-as-code and policy-as-code practices in CI/CD workflows
- Proficiency with containers (Docker, Kubernetes) for scalable AI workload deployment
- Ability to design and implement scalable, resilient, cost-efficient architectures on Azure
- Event-driven architecture and serverless architecture design and implementation
- Azure Solutions Architecture understanding across compute, networking, storage, security, and AI tiers
Data & Schema Design
- Experience with relational databases (PostgreSQL, SQL Server), NoSQL (Cosmos DB, MongoDB), and graph databases
- Ability to design extensible, evolvable schemas and domain ontologies that support AI reasoning and semantic retrieval
Security & Identity
- OAuth 2.0 implementation and Azure IAM/RBAC: permissions, policies, managed identities, and fine-grained access control (FGAC)
- Secure credentials management using Azure Key Vault and secrets management best practices
- Security-first mindset for AI systems: prompt protection, PII handling, data boundary enforcement
Engineering Practices
- Demonstrated ability to leverage coding agents and spec-driven development across all SDLC phases
- Strong GitHub Copilot and AI-assisted development tooling proficiency
- Experience leading technical teams and influencing engineering practices at an organizational level
Regards,
pradeep(@)smg-llc(.)us