Senior AWS AI Architect

Architect and Hands-on developer to drive AI platform deployment at global industrial manufacturing company

We are looking for a hands-on Senior AWS AI Architect for our globally operating industrial client to design, build, and operationalize enterprise AI/ML solutions that bring together agent-based capabilities from across the organization into a unified, governed platform.

Start

03.08.2026

Duration

5mo

Location

Helsinki / hybrid, remote

Allocation

100%

In this role, you will directly implement AI architectures, deploy production agents, and establish governance frameworks—working closely with cross-functional teams and the client's data leadership to deliver shared AI capabilities on AWS.

Responsibilities

Design and implement multi-agent systems using Amazon Bedrock AgentCore, including supervisor-collaborator patterns for complex workflows
Build and manage a centralized Agent Registry for discovering and governing agents, MCP servers, tools, and skills across the organization
Configure Agent Gateway endpoints to securely connect agents to MCP servers, knowledge bases, internal APIs, and Lambda functions with unified authentication
Implement agent orchestration using frameworks such as LangChain, OpenAI Agents SDK, Claude Agent SDK, Strands SDK, or custom solutions
Enable Agent-to-Agent (A2A) interactions and transform legacy REST services into MCP-compatible tools
Implement OpenTelemetry-compatible tracing via AgentCore Observability to monitor execution paths, debug performance bottlenecks, and audit intermediate outputs
Configure Amazon CloudWatch metrics for Bedrock runtime monitoring
Implement model evaluation and testing using Amazon Bedrock Evaluations or Datadog LLM Evals
Serve as the go-to AI architecture expert for internal teams, translating business requirements into implementable solutions
Build reusable patterns, templates, and reference architectures for agent development
Establish standards for prompt engineering, RAG implementations, and agent orchestration
Mentor team members on AWS AI/ML best practices

Requirements

Strong hands-on experience with AWS AI/ML services, particularly Amazon Bedrock and its agent ecosystem
Proven experience designing and implementing multi-agent systems and agentic workflows in production
Solid understanding of MCP (Model Context Protocol) and agent orchestration frameworks
Experience with observability tooling such as OpenTelemetry and CloudWatch in AI/ML contexts
Ability to drive a complex, cross-functional platform initiative as a dedicated, full-time resource
Strong communication skills for working across technical teams and with stakeholder leadership

Nice to have

Experience with model evaluation frameworks such as Bedrock Evaluations or Datadog LLM Evals
Background in platform or enterprise architecture in large-scale organizations
Familiarity with RAG architectures and semantic data layer design

The assignment is planned to start in Q3, with the possibility of an earlier start during summer. This is a full-time, dedicated consultant role embedded within the client's AI platform initiative.
If you're interested, please apply as soon as possible. We are reviewing applications and arranging client interviews on a rolling basis

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