Principal Agentic AI Architect

Job Title: Principal Agentic AI Architect

Employment Type: Full Time (Hybrid)

Experience: 10 - 15 years

Location: Irving, TX, New York, NY, Jersey City, NJ

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, LangChain, 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 adoption and innovation.

Evaluate emerging Agentic AI technologies, frameworks, and industry trends, recommending strategic enhancements to the platform.

Architect and optimize core platform components including:

- Agent Orchestration Layer

- Tool Library Frameworks

- Context & Memory Management

- Document Intelligence Layer

- AI Observability & Monitoring Frameworks

- Governance & Responsible AI Controls

Mentor engineering teams and serve as a thought leader for enterprise Agentic AI strategy and platform evolution.

Provide clear portfolio reporting on delivery, financial position, risks, resource constraints, outcomes, and required actions.

Coordinate across program, finance, technology, business, risk, control, and vendor teams to validate data and resolve issues.

Drive initiative prioritization and trade-off recommendations based on strategic value, funding, capacity, risk, and readiness.

Standardize portfolio practices and prepare concise executive dashboards, presentations, and briefing materials.

Regards,
Sai Kumar Yeggina
Sr. US Technical Recruiter
Fixity Technologies
Email: | Web:
LinkedIn : linkedin.com/in/sai-kumar-yeggina-85a430241