Sr. AI Solution Architect

Valiant Technologies LLC; Tallahassee (FL); On-site; USD 180,000 - 240,000; Full time

Job summary

Valiant Technologies LLC is seeking a hands-on Senior Agentic AI Architect in the United States to design, build, and deploy enterprise-grade AI assistants and automation solutions. You will own the full lifecycle from design through deployment, focusing on AWS AgentCore, Bedrock, context management, and secure, observable architectures.

You will lead multi-agent orchestration, develop RAG pipelines with PostgreSQL, and implement scalable backend services using Python/FastAPI and frontends with

Qualifications

• Deep experience designing and deploying enterprise-grade AI assistants.
• Hands-on with AWS AgentCore and AWS Bedrock in production.
• Proficient in context management, tool execution, and validation.

Responsibilities

• Design and build agentic AI systems with reasoning and planning.
• Own full development lifecycle from design to deployment.
• Develop ingestion and retrieval pipelines for RAG with PostgreSQL and pgvector.
• Coordinate multi-agent orchestration and event-driven automation.
• Implement security, memory, and observability controls including SSO and ABAC.

Skills

AWS AgentCore

Context Engineering

Harness Engineering

Python development

Multi-agent orchestration

Agentic systems

Tools

AWS Bedrock

IAM

Secrets Manager

ECR

Aurora PostgreSQL

SQS

EventBridge

CloudWatch

EKS

LangGraph

Strands Agents

FastAPI

Next.js

TypeScript

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description

We are looking for a hands-on Senior Agentic AI Architect with deep expertise in AWS AgentCore, Context Engineering, and Harness Engineering to design, build, and deploy enterprise-grade AI assistants and intelligent automation solutions. The candidate will own the complete development lifecycle, from solution design and implementation to deployment and optimization.

Key Responsibilities

• Agentic AI Development: Design and build intelligent AI agents capable of reasoning, planning, tool execution, and managing complex workflows.
• AWS & AgentCore (Mandatory): Hands-on experience with AWS AgentCore (Runtime, Memory, Gateway, Identity, Policy, Observability) and AWS Bedrock.
• Context & Harness Engineering: Implement context management strategies (retrieval, summarization, prompt versioning) and build execution frameworks (tool-call orchestration, retry handling, structured output validation).
• Multi-Agent Orchestration & Automation: Develop and coordinate specialized agents (using frameworks like LangGraph or Strands Agents) and build event-driven automation.
• Enterprise Knowledge & RAG: Develop ingestion and retrieval pipelines using PostgreSQL, pgvector, and RAG techniques.
• Integrations & Cloud Engineering: Build MCP servers/clients and implement AWS solutions using IAM, Secrets Manager, ECR, Aurora PostgreSQL, SQS, EventBridge, CloudWatch, and Amazon EKS.
• Full-Stack Development: Build backend services with Python/FastAPI and frontends with Next.js and TypeScript.
• Security, Memory, & Observability: Enforce SSO, Cedar/ABAC policies, human-in-the-loop approvals, persistent state management, and robust evaluation/tracing.

Key Qualifications & Skills

• Essential Skills: Deep experience in AWS AgentCore, Context Engineering, Harness Engineering, Python development, multi-agent orchestration, and production-grade agentic systems.
• Additional Skills: RAG/Knowledge ingestion, security/ABAC access management, EKS containerization, human-in-the-loop mechanisms.
• Keywords/Tech Stack: Python, Harness, AWS Bedrock, AWS AgentCore, Amazon Connect, AI & Automation, EKS, FastAPI, Next.js.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.