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Sr. AI Solutions Architect (Agentic AI)

Akaasa Technologies
Dallas, TX, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$62,400.0 - $104,000.0
Working hours
Regular working hours
Job source
www.careerjet.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Automation of Tests Microsoft Azure Extract Transform Load (ETL) Distributed Systems Python (Programming Language) Neo4j Multi-Agent Systems Machine Learning Operations Cloud Migration Virtual Agents
+1 more
Microservices

Job description

As a Data Engineer, you will be instrumental in designing and optimizing robust ETL pipelines and data workflows. This expert-level, remote position is ideal for professionals who …

  • 15 hours ago, As a QA Automation Engineer, you will play a crucial role in shaping the future of AI systems by designing and implementing automated testing solutions. Your expertise will directl…
  • 14 hours ago +

Requirements

  • 10+ years in Architecture / Engineering
  • 5+ years in Lead or Enterprise Architect roles
  • 2+ years hands-on AI development (production-level)
  • Experience building and deploying enterprise AI solutions (not just POCs)
  • Strong background in cloud modernization and distributed systems

Core Skills

  • Agentic AI frameworks (LangChain, LangGraph, MCP, ADK)
  • Multi-agent systems & orchestration
  • RAG, vector DBs (Pinecone, FAISS), graph DBs (Neo4j, Neptune)
  • GCP (Vertex AI, GKE, Cloud Run) or Azure
  • APIs, microservices, Python
  • AI/ML pipelines, MLOps, monitoring, evaluation frameworks
  • AI governance, security, and compliance

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:24 min

Comparing Neo4j and GraphQL conceptual models

William Lyon · LIVE

3:07 min

Transitioning architecture to microservices at Netflix

Steve Upton Steve Upton · WWC 2022

3:21 min

Navigating the ethical integration of virtual colleagues

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

2:52 min

Designing agentic AI solutions for the enterprise

Damir Dobric · Coffee With Developers

3:30 min

Introduction to Neo4j and remote developer relations work

3:45 min

Fusing developer experience and platform engineering for agentic SDLC

Julia Kordick Julia Kordick · WWC Europe 2026

Videos

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Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure thumbnail
26:35
WWC 2025 • 12 months ago

Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure

Ricardo

Putting the Graph In GraphQL With The Neo4j GraphQL Library thumbnail
47:48
LIVE • almost 5 years ago

Putting the Graph In GraphQL With The Neo4j GraphQL Library

William Lyon

Microservices: how to get started with Spring Boot and Kubernetes thumbnail
1:02:46
LIVE • almost 5 years ago

Microservices: how to get started with Spring Boot and Kubernetes

Aleksandr Kalikov

AI in Leadership: How Technology is Reshaping Executive Roles thumbnail
28:19
WWC 2025 • 12 months ago

AI in Leadership: How Technology is Reshaping Executive Roles

Bernd Datler, Jasmin Kaiser, Jeff Hausmann, Sonja Alvarez

Cyber Sleuth: Finding Hidden Connections in Cyber Data thumbnail
1:00:19
LIVE • over 2 years ago

Cyber Sleuth: Finding Hidden Connections in Cyber Data

Jennifer Reif

Cloud Chaos and Microservices Mayhem thumbnail
39:16
LIVE • over 5 years ago

Cloud Chaos and Microservices Mayhem

Holly Cummins

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