AWS Architect

Halian | Managed Services, Recruitment Agency & Contract Staffing; Reading (Berks County); On-site; USD 150,000 - 190,000; Full time

Job summary

Halian is seeking an experienced AWS Architect to lead the design of enterprise-grade Agentic AI platforms on AWS from Reading, PA onsite. You will define target-state architecture, governance, security, and observability across AI agents and workloads.

You will drive architectural standards for Bedrock, SageMaker, Knowledge Bases, and AgentCore, while guiding teams on integrative patterns, cost governance, and security controls.

Qualifications

• 10+ years of cloud architecture experience with AWS.
• Proven design of large-scale AWS solutions and enterprise platforms.
• Deep knowledge of AWS Bedrock, AgentCore, SageMaker, Knowledge Bases, and Generative AI services.
• Experience with Agentic AI frameworks such as LangGraph, LangChain, CrewAI, Strands, or equivalent.
• Strong knowledge of cloud observability, monitoring, distributed tracing, and logging architectures.
• Infrastructure as Code experience with Terraform.

Responsibilities

• Define target-state architecture for enterprise Agentic AI platforms on AWS.
• Provide architectural leadership for AI agents running on AWS AgentCore Runtime.
• Establish architecture standards, governance models, and best practices for the AIDLC.
• Evaluate and recommend Agentic AI frameworks (e.g., LangGraph, LangChain, CrewAI, Strands).
• Architect scalable Bedrock Knowledge Bases, Knowledge Graphs, and RAG solutions.
• Define reference architectures for Bedrock, Bedrock Inference Profiles, and SageMaker workloads.
• Define enterprise observability strategies for AI workloads and distributed systems.
• Design monitoring architectures using CloudWatch, X-Ray, Dynatrace, and OpenTelemetry.
• Define cloud cost governance, tagging, and chargeback models for AI workloads.
• Develop runbooks and self-service support models.

Skills

Cloud Architecture

AWS

Agentic AI

SageMaker

Bedrock

Knowledge Bases

Observability

Security & IAM

Terraform

Stakeholder Management

Tools

Terraform

Dynatrace

OpenTelemetry

CloudWatch

X-Ray

Job description

AWS Architect – Agentic AI & Generative AI Platform

Location: Reading, PA - Onsite Role

Work Authorization: GC & USC Only

Overview

We are seeking an experienced AWS Architect to lead the design and architecture of enterprise-scale Agentic AI platforms on AWS. This role will be responsible for defining cloud architecture, governance, security, observability, and operational frameworks for AI agent ecosystems leveraging AWS Bedrock, AgentCore, SageMaker, Knowledge Bases, Knowledge Graphs, MCP Servers, and modern Agentic AI frameworks.

The successful candidate will serve as the technical authority for AWS-based AI solutions, ensuring scalability, security, cost optimisation, and operational excellence across multiple teams and business units.

Key Responsibilities

Agentic AI Architecture & Platform Design

• Design and define target-state architecture for enterprise Agentic AI platforms on AWS.
• Provide architectural leadership for AI agents running on AWS AgentCore Runtime.
• Establish architecture standards, governance models, and best practices for the Agentic AI Development Lifecycle (AIDLC).
• Evaluate and recommend suitable Agentic AI frameworks including Strands, LangGraph, LangChain, CrewAI, and similar technologies.
• Architect scalable implementations of Bedrock Knowledge Bases, Knowledge Graphs, and Retrieval-Augmented Generation (RAG) solutions.
• Design enterprise integration patterns using MCP Servers, AgentCore Gateway, and AgentCore Identity.
• Define reference architectures for AWS Bedrock, Bedrock Inference Profiles, and SageMaker-based AI workloads.

Observability & Operational Excellence

• Define enterprise observability strategies for AI agents and distributed AI workloads.
• Assess CloudWatch, X-Ray, Bedrock logging, AgentCore traces, Dynatrace, and third-party monitoring solutions.
• Design end-to-end tracing architectures covering LLM interactions, tool invocations, MCP communications, and sub-agent orchestration.
• Establish monitoring standards, operational metrics, and service health validation frameworks.
• Recommend target-state observability and monitoring platforms aligned with business and operational requirements.
• Define enterprise cloud cost governance and optimisation strategies for Agentic AI workloads.
• Establish tagging frameworks and chargeback models for AI agents, Bedrock consumption, vector databases, and supporting services.
• Architect cost visibility and reporting solutions that provide departmental and business-unit-level insights.
• Design proactive budgeting, spend monitoring, and anomaly detection mechanisms.
• Drive Total Cost of Ownership (TCO) optimisation initiatives across AWS AI platforms.
• Define enterprise monitoring and alerting frameworks for AI and cloud-native platforms.
• Establish alerting standards covering deployment failures, application errors, MCP connectivity issues, and operational incidents.
• Design notification routing mechanisms integrated with Microsoft Teams, email, and operational support processes.
• Develop operational runbook strategies and self-service support models.
• Evaluate AWS-native and third-party monitoring platforms and provide architectural recommendations.

Security, Governance & Identity Management

• Evaluate current IAM, security boundaries, and multi-team isolation strategies.
• Design secure, scalable identity and access management architectures for AI platforms.
• Assess Cedar Policy Engine and other policy-based access control mechanisms.
• Architect Attribute-Based Access Control (ABAC) models that support enterprise-scale deployments while minimising IAM complexity.
• Define governance controls, security guardrails, and compliance frameworks for Agentic AI environments.
• Develop reusable Terraform-based architecture patterns and IaC standards.

Required Skills & Experience

• 10+ years of experience in Cloud Architecture with a strong focus on AWS.
• Proven experience designing large-scale AWS solutions and enterprise cloud platforms.
• Deep understanding of AWS Bedrock, AgentCore, SageMaker, Knowledge Bases, and Generative AI services.
• Experience with Agentic AI frameworks such as LangGraph, LangChain, CrewAI, Strands, or equivalent.
• Strong knowledge of cloud observability, monitoring, distributed tracing, and logging architectures.
• Experience with Dynatrace, CloudWatch, X-Ray, OpenTelemetry, or similar platforms.
• Expertise in AWS security, IAM, ABAC, governance, and enterprise architecture frameworks.
• Strong experience with Infrastructure as Code, particularly Terraform.
• Excellent stakeholder management and architecture governance skills.

Preferred Qualifications

• AWS Solutions Architect Professional certification.
• Experience building enterprise-scale Generative AI or Agentic AI platforms.
• Knowledge of RAG, Vector Databases, Knowledge Graphs, and AI governance frameworks.
• Experience in cloud FinOps and cost optimisation initiatives.
• Exposure to enterprise AI security, compliance, and risk management frameworks.