Principal Technical Consultant

Applied Systems, Inc.•Atlanta, GA

2d•$150,000 - $200,000•Hybrid

About The Position

We’re searching for a Principal Technical Consultant to join our Solution Services team in a remote or hybrid location from an Applied Systems office. This role is focused on driving next-generation innovation through AI-enabled architectures, advanced integrations, and scalable cloud platforms. This role expands upon traditional solution consulting by leading the design and delivery of intelligent systems leveraging AI, agent-based architectures, and orchestration frameworks. To keep us headed in the right direction, we’re looking for people who understand winning is a team sport, who value and seek to learn from our team’s diverse experiences and backgrounds, who welcome a challenge and take risks in the pursuit of creating better outcomes for our customers, and who can, at any given time, step back to laugh and have some fun.

Requirements

10+ years of experience in software architecture, solution design, and enterprise systems.
5+ years designing cloud-native architectures (GCP preferred).
3+ years working with AI/ML systems, including LLM-based applications and agent frameworks.
Experience designing and implementing MCP servers or similar AI interface protocols.
Hands-on experience with orchestration frameworks (e.g., workflow engines, event-driven architectures, or AI orchestration tools).
Experience designing multi-agent or agent-based systems, including prompt design, tool integration, and execution flows.
Strong experience with APIs (REST/GraphQL), microservices, and integration patterns.
Experience with containers, Kubernetes, and distributed systems.

Responsibilities

Act as a senior trusted advisor to customers on AI-enabled solution design, architecture, and implementation.
Lead the design and development of AI-driven systems including agent-based workflows, orchestration pipelines, and MCP server integrations.
Define architecture for multi-agent systems including tool usage, memory management, and agent coordination strategies.
Drive adoption of orchestration technologies to manage workflows, services, and AI interactions across distributed systems.
Design and implement scalable cloud architectures (primarily GCP) integrating AI services, APIs, and data platforms.
Lead technical discovery workshops with clients to identify AI use cases, automation opportunities, and transformation strategies.
Translate business problems into AI-driven solution architectures and proof-of-concepts.
Guide development teams in building, testing, and deploying AI and integration solutions.
Serve as technical lead for complex pre-sales engagements, including scoping, architecture definition, and SOW development.
Mentor and coach Technical Architects, Developers, and Consultants on AI and modern architecture best practices.