AI LEAD / Architect - Atlanta, GA- 5days Onsite

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