Agentic AI Solutions Architect - Remote Work | REF#306605

BairesDev; Palo Alto (CA); Hybrid; CLP 147,929,000 - 207,101,000; Full time

Benefits offered by this job

100% remote work (from anywhere)

Excellent compensation in USD or your

Hardware and software setup for you to

Flexible hours: create your own

Paid parental leaves, vacations, andn

Innovative and multicultural workenv.

Supportive environment with mentorship

Job summary

BairesDev is seeking an experienced Agentic AI Solutions Architect to shape the architectural foundation of a growing multi-agent AI platform. You will decide when an agent, a classical model, or a deterministic pipeline fits each use case.

In this fully remote role, you'll design AWS Bedrock architecture, establish guardrails and evaluation harnesses, and guide large-scale orchestration across teams. Fluent English required.

Qualifications

• 8+ years of experience in software architecture.
• Strong expertise in LangGraph, with Python as the underlying language.
• Proven experience designing production multi-agent orchestration systems.
• Experience with AWS Bedrock architecture, including Knowledge Base and model routing.
• Background designing agent evaluation harnesses and guardrails.
• Experience with MCP and tool contract design.
• Experience with Kubernetes and EKS deployment topologies for agent workloads.
• Background establishing cost and token governance across an agent fleet.
• Advanced proficiency in English.

Responsibilities

• Own architectural review of the orchestration layer and agent boundary model.
• Guide the path from initial personas and a chat orchestrator to a large-scale multi-agent fleet.
• Design AWS Bedrock architecture, including Knowledge Base and model routing.
• Define agent evaluation harnesses and guardrails.
• Determine the right solution shape for each use case, whether agent, classical model, or deterministic pipeline.
• Establish cost and token governance across the agent fleet.

Skills

LangGraph

Python

Software architecture

English

Tools

AWS Bedrock

Kubernetes

EKS

Terraform

OpenTelemetry

LangFuse

MCP

Job description

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

Agentic AI Solutions Architect at BairesDev

In this role, you'll shape the architectural foundation of a growing multi-agent AI platform, guiding how it evolves as it scales across multiple teams. Having designed and operated multi-agent systems in production, you'll bring judgment shaped by real systems that have already broken, not theoretical best practices. This is your opportunity to make the fundamental architectural calls, deciding when an agent, a classical model, or a simple deterministic pipeline is the right fit for each use case.

What You'll Do

• Own architectural review of the orchestration layer and agent boundary model.
• Guide the path from initial personas and a chat orchestrator to a large-scale multi-agent fleet.
• Design AWS Bedrock architecture, including Knowledge Base and model routing.
• Define agent evaluation harnesses and guardrails.
• Determine the right solution shape for each use case, whether agent, classical model, or deterministic pipeline.
• Establish cost and token governance across the agent fleet.

What We Are Looking For

• 8+ years of experience in software architecture.
• Strong expertise in LangGraph, with Python as the underlying language.
• Proven experience designing production multi-agent orchestration systems.
• Experience with AWS Bedrock architecture, including Knowledge Base and model routing.
• Background designing agent evaluation harnesses and guardrails.
• Experience with MCP and tool contract design.
• Experience with Kubernetes and EKS deployment topologies for agent workloads.
• Background establishing cost and token governance across an agent fleet.
• Advanced proficiency in English.

Nice To Have

• Experience with LangFuse.
• Familiarity with Bifrost or LiteLLM.
• Experience with Strands.
• Familiarity with Terraform.
• Experience with OpenTelemetry.
• Background in spec-driven development (SDD) practices.
• Intermodal or logistics domain experience.

How we do make your work (and your life) easier

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!