Engineer - GenAI + Python

Omiz Staffing Solutions (OSS); New York (NY); On-site; USD 180,000 - 250,000; Full time

Job summary

Omiz Staffing Solutions (OSS) is seeking a hands-on Agentic AI Architect to shape and deliver GenAI-powered enterprise solutions. This role blends architecture governance with hands-on engineering to design AI agents, LLM-powered workflows, and multi-agent systems across complex applications.

The ideal candidate brings strong Python development, security, cloud, distributed systems, and enterprise integration experience, with a track record in architecture reviews and ARB collaboration.

Qualifications

• Hands-on GenAI architect for enterprise-grade solutions.
• Experience with architecture governance and reference architectures.
• Familiar with security, APIs, data flows, observability, and scalable systems.

Responsibilities

• Review application architectures against enterprise standards and patterns.
• Identify gaps, risks, and remediation actions.
• Architect and build single-agent and multi-agent AI solutions for enterprise use cases.
• Develop AI agents using LLMs, tools, APIs and enterprise platforms.
• Establish secure, scalable, production-ready GenAI patterns.

Skills

Python

GenAI

Agentic AI

LLMs

Architecture governance

Security

Cloud

Kafka

Observability

Distributed systems

Tools

LangChain

AutoGen

CrewAI

Job description

NOW HIRING | Agentic AI Engineer – GenAI + Python

We are seeking a hands-on Agentic AI Architect to help shape and deliver next-generation enterprise AI solutions.

This is a highly technical role for an architect who can operate across enterprise architecture governance and hands-on GenAI engineering — evaluating complex application architectures while also designing and building sophisticated AI agents, LLM-powered workflows, and multi-agent solutions.

The ideal candidate brings a strong combination of Python development, Agentic AI, architecture review, distributed systems, security, cloud, and enterprise integration experience.

• Review application and solution architectures against enterprise standards, reference architectures, and approved technology patterns
• Identify architectural gaps, deviations, risks, and dependencies and drive appropriate remediation
• Evaluate security, access controls, APIs, Kafka, databases, integrations, and enterprise connectivity
• Assess end-to-end data flows, observability, logging, monitoring, scalability, and performance engineering
• Architect and build single-agent and multi-agent AI solutions for enterprise use cases
• Develop and integrate AI agents using LLMs, tools, APIs, enterprise platforms, and external services
• Establish architectural patterns for secure, scalable, resilient, and production-ready GenAI solutions
• Evaluate technical approaches for AI applications, including agent orchestration, tool calling, context management, and enterprise integration
• Partner with engineering, security, cloud, platform, and architecture teams to ensure solutions meet enterprise requirements
• Provide technical leadership from architecture assessment through implementation and production readiness
• Proven experience designing and building GenAI / Agentic AI solutions
• Practical experience with LLMs, AI agents, tool calling, orchestration, and agentic workflows
• Experience with frameworks such as LangChain, AutoGen, CrewAI, or comparable agent frameworks
• Understanding of MCP (Model Context Protocol) and modern AI-agent integration patterns
• Strong background in application architecture, architecture assessment, and technology governance
• Solid understanding of distributed systems, Kafka, APIs, databases, and enterprise integrations
• Knowledge of security architecture, authentication/authorization, access controls, and vulnerability assessment
• Experience with observability, logging, monitoring, reliability, and performance engineering
• Cloud experience with AWS, Azure, and/or GCP
• Experience participating in or supporting Architecture Review Boards (ARB) or enterprise architecture governance
• Familiarity with enterprise architecture standards, technology governance, risk management, and compliance
• Experience assessing GenAI architectures for security, scalability, reliability, maintainability, and enterprise readiness
• Experience translating emerging AI technologies into practical enterprise architecture patterns

Why This Opportunity?

Join a high-impact initiative at the intersection of Enterprise Architecture and Agentic AI.

You’ll have the opportunity to influence how modern AI solutions are architected, governed, integrated, secured, and scaled across enterprise environments — while remaining hands-on with the technologies powering the next generation of intelligent applications.