AI Applications Architect

Architecture & Technical Leadership:

• Design and own cloud-native architectures (AWS/Azure) for agentic AI workloads using Kubernetes/EKS, Terraform, Docker, serverless APIs, AWS Batch, and async orchestration frameworks.
• Define agentic system patterns using LangChain, LangGraph, Autogen, LlamaIndex, Pinecone, and other multi-agent frameworks; ensure consistency of prompt/tool design, memory/state handling, and workflow orchestration.
• Architect vector database, RAG, embeddings pipelines, and model-serving endpoints (LLM/SLM) with strong emphasis on scalability and latency management.

Team Leadership & Technical Mentorship:

• Guide engineering teams through architectural decisions, distributed design principles, and production-readiness standards.
• Mentor engineers in Kubernetes/EKS, async programming, multi-agent orchestration, cloud-native development, and responsible AI practices.
• Provide input on hiring, onboarding, and talent development to grow AHEAD’s agentic engineering bench.

Delivery Excellence & Continuous Improvement:

• Partner with Delivery Leads to ensure architecture is executable, scalable, and aligned with timelines.
• Champion automation, IaC, CI/CD, model deployment workflows, runbooks, and platform governance.
• Lead sprint-level architectural alignment, backlog refinement, retrospectives, and post-incident reviews.