Role: Principal Agentic AI Architect
Location: Irving, TX
Salary Range: $120,000 - $150,000/Year
Job Description
Must Have Technical/Functional Skills
- 12+ years of software engineering experience, including 5+ years designing and building enterprise AI/ML platforms.
- Proven experience architecting and delivering large-scale AI solutions, Agentic AI systems, AI platforms, or multi-agent frameworks in enterprise environments.
- Deep understanding of the Agentic AI ecosystem including agent orchestration, planning, reasoning, tool calling, memory management, retrieval systems, and autonomous workflows.
- Hands-on expertise building AI applications using frameworks and platforms such as Google ADK, LangGraph, LanEligible to workhain, Semantic Kernel, CrewAI, AutoGen, or similar agentic frameworks.
- Strong experience designing scalable orchestration layers, tool libraries, context management frameworks, observability solutions, and governance controls for AI systems.
- Expertise in Retrieval-Augmented Generation (RAG), vector databases, embeddings, enterprise knowledge systems, and document intelligence platforms.
- Experience designing extensible and reusable AI platform architectures capable of supporting multiple business use cases and domains.
- Strong software engineering background in cloud-native architectures, distributed systems, APIs, microservices, and platform engineering.
- Deep understanding of AI observability, monitoring, evaluation frameworks, model governance, security, and responsible AI principles.
- Exceptional communication and stakeholder management skills with the ability to influence senior technology leaders and architects.
- Roles & Responsibilities
- Lead the architecture, design, and engineering of a next-generation Agentic AI Harness for Banking capable of supporting 50+ enterprise AI use cases.
- Evolve the existing agent framework into a scalable, extensible, and enterprise-grade agentic platform aligned with future business needs.
- Define and own the end-to-end architecture covering orchestration, tool integration, memory management, context management, document intelligence, observability, security, and governance.
- Provide technical leadership and hands-on engineering guidance across all components of the Agentic AI platform.
- Design reusable services, frameworks, and platform capabilities to accelerate onboarding of new AI use cases and business domains.
- Establish architectural standards, reference patterns, engineering best practices, and platform roadmaps.
- Collaborate with C-Suite leadership, enterprise architects, AI engineers, and business stakeholders to drive platform adEligible to workion and innovation.
- Evaluate emerging Agentic AI technologies, frameworks, and industry trends, recommending strategic enhancements to the platform.
- Architect and Eligible to workimize core platform components including:
- Agent Orchestration Layer
- Tool Library Frameworks
- Context & Memory Management
- Document Intelligence Layer
- AI Observability & Monitoring Frameworks
- Governance & Responsible AI Controls
Skills: Artificial Intelligence
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