AI Architect Agentic & Generative AI

Select Minds LLC; Dallas (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Opportunity for Advancement

Hybrid work model

Long Term stability

Job summary

A technology consulting firm based in Dallas seeks an Agentic AI Solution Architect. You'll lead AI system architecture and deployment for autonomous solutions, bridging business goals with next-gen capabilities. Candidates should have a strong AI/ML background and experience with large-scale systems. Flexible hybrid work options are available.

Qualifications

• Proven experience in solution architecture for large-scale distributed systems.
• Understanding of data pipelines, data governance, security, APIs.
• Track record of delivering AI systems into production.

Responsibilities

• Define end-to-end architecture for agentic AI systems.
• Lead technical reviews and prototype validation.
• Collaborate with business units on agentic AI designs.

Skills

Strong background in AI/ML

Excellent communication

Experience with event-driven architecture

Education

Bachelor's or Master's in Computer Science, AI, Systems Engineering

Tools

AWS

Azure

GCP

Job description

Benefits

• Oppurtunity for Advancement
• Hybrid
• Long Term

Job Information

Job Title: Agentic AI Solution Architect

Location: Dallas, TX (hybrid/remote flexibility possible)

Department: AI Delivery

Role Summary

You will design, architect, and lead the deployment of agentic (autonomous, multi-agent) AI systems across the Client's Operations, Systems, and Customer-facing domains. You'll bridge business goals, existing infrastructure, and next‑gen AI capabilities to deliver high-impact solutions aligned with Southwest's strategy.

Key Responsibilities

• Define end-to-end architecture for agentic AI systems (multi-agent orchestration, coordination, planning, feedback loops)
• Evaluate, select, and integrate AI frameworks, platforms, and infrastructure components
• Collaborate with business units (operations, crew scheduling, customer service, disruption management) to map use cases to agentic AI designs
• Define interfaces, APIs, data flows, governance and security models for agents to interact with legacy systems
• Establish architecture patterns, best practices, design principles for autonomous agents in an enterprise setting
• Lead technical reviews, prototype validation, and iteration cycles
• Mentor/coach engineering and AI teams on agentic design and scalable AI deployment
• Stay abreast of research in autonomous agents, reinforcement learning, self‑adaptation, and inject innovations into Southwest's roadmap

Requirements / Must-Haves

• Bachelor's or Master's in Computer Science, AI, Systems Engineering, or related
• Strong background in AI/ML, especially reinforcement learning, multi-agent systems, planning, feedback control
• Proven experience in solution architecture for large-scale distributed systems, microservices, event-driven/streaming architecture
• Experience building or integrating autonomous or semi-autonomous agents or intelligent systems
• Proficiency with modern cloud platforms (AWS, Azure, GCP) and AI infrastructure (model serving, orchestration, autoscaling)
• Understanding of data pipelines, data governance, security, APIs, and systems integration
• Excellent communication — you'll translate between technical teams and business stakeholders
• Track record of delivering AI systems into production

Preferred / Nice-to-Haves

• Familiarity with AI governance, explainability, monitoring, and safety
• Knowledge of reinforcement learning libraries (e.g. RLlib, Ray, OpenAI frameworks)
• Experience with observability, continuous learning pipelines, adaptation in deployed agents

Additional Information

Flexible work from home options available.