Solutions Architect

Status: Must be legally eligible to work where you live.

Resume must be in English

Location
:
Remote, some travel to Atlanta, GA

We are seeking an AI Full Stack Architect to join our AI Center of Excellence (AI COE) — a senior, hands-on technical leader who can both design enterprise-grade AI systems and roll up their sleeves to build them. This is not a whiteboard-only role. You will own the architecture of our agentic AI platform end-to-end — from cloud infrastructure and backend services to LLM pipelines, agent orchestration, and front-end experiences — while setting the technical direction for the team around you.

This role is ideal for someone who has built and shipped production AI agents, has deep AWS Bedrock expertise, and can lead architecture decisions while staying close to the code.

• Seniority: Architect / Principal Engineer
• Experience: 10+ years in software engineering; 4+ years in AI/ML engineering
• Scope: Platform-wide — agents, LLM/SLM integration, observability, full stack
• Leadership: Technical lead; mentors engineers, drives standards and reviews
• Ambiguity: Defines the solution when none exists; navigates fast-moving AI landscape
• Impact: Decisions affect platform reliability, cost, and AI product quality at scale

• Architect and lead the design of autonomous, multi-step, and tool-using AI agent systems — including agent topology, orchestration patterns, memory strategies, and failure recovery.
• Define and enforce standards for ReAct, plan-and-execute, and multi-agent collaboration patterns across the platform.
• Own hands-on development of complex agent pipelines using AWS Bedrock Agents, Lang Chain, Lang Graph, Auto Gen, CrewAI, or equivalent frameworks.
• Design agent guardrails, safety layers, and fallback mechanisms for production reliability.

• Lead the evaluation, selection, and integration of Large Language Models (e.g., Claude, GPT-4, Llama, Mistral) and Small Language Models (e.g., Phi-3, Gemma, Mistral 7B) into production workflows.
• Own prompt engineering standards, few-shot learning strategies, RAG (Retrieval-Augmented Generation) pipeline architecture, and fine-tuning workflows.
• Drive model benchmarking and cost/capability trade-off decisions at the platform level.
• Architect and own AI workloads on AWS Bedrock — including foundation model access, Knowledge Bases, and Bedrock Agents.
• Design scalable, secure, and cost-efficient cloud infrastructure leveraging Lambda, API Gateway, S3, IAM, ECS/EKS, and related AWS services.
• Define infrastructure-as-code standards and CI/CD pipelines for AI model and agent deployments.

• Lead architecture and hands-on development of full stack AI-powered applications — responsive front-end UIs, backend APIs, and agent orchestration layers.
• Set standards for Node.js backend services, Python agent and ML pipelines, and modern front-end frameworks (React, Next.js, or Vue).
• Architect streaming agent response patterns, tool-call UIs, and real-time agent interaction experiences.

• Own the agent observability strategy — define what gets measured, how, and why.
• Implement and maintain monitoring pipelines using Fiddler AI and comparable platforms (Lang Smith, Arize, Weights & Biases, Helicone).
• Define and track key agent performance metrics: accuracy, latency, hallucination rate, tool-call success rate, and cost per inference.
• Establish evaluation frameworks for continuous model and agent quality assurance.

• Lead architecture reviews, define technical standards, and maintain platform documentation.
• Mentor and upskill engineers across the AI COE on agent development, LLM…