AI Solutions Architect – GenAI, Enterprise AI Strategy

Job not on LinkedIn

🔥 0 minutes ago

🏖️ New Jersey – Remote

🏖️ New Jersey – Remote

⏳ Contract/Temporary

🟠 Senior

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 22%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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OmegaHires

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎯 Recruiter

🏢 Enterprise

Recruitment • Enterprise • IT Services

OmegaHires is a full-service digital and enterprise IT staffing firm that focuses on providing both permanent and contingent workforce solutions across various digital and enterprise technologies. The company specializes in UX development with full stack developers using modern technologies such as React, Angular, and Node. js, as well as microservices development utilizing Java, Scala, Go, and SQL. OmegaHires also provides expertise in integration and big data technologies, DevOps for automated CI/CD pipelines, and enterprise IT management including ERP and SAP systems. Committed to "responsible recruiting," OmegaHires uses unique sourcing and assessment methodologies and offers training and mentorship to ensure candidates meet the evolving needs of their clients.

📋 Description

• Define enterprise AI architecture and roadmap aligned with business objectives • Design scalable, secure, and production-ready GenAI solutions leveraging multiple LLM providers • Establish AI design patterns, governance standards, and best practices • Lead architecture reviews and provide technical leadership across AI initiatives • Build frameworks for AI adoption across Finance, Operations, Risk, Underwriting, Claims, and Corporate functions • Continuously evaluate emerging LLMs and new releases • Perform comparative assessments across accuracy, response quality, reasoning capability, hallucination rates, performance, security posture, cost per token, and enterprise readiness • Build model evaluation scorecards and recommendation frameworks • Design advanced prompting frameworks and reusable prompt libraries • Optimize prompts for cost reduction, token consumption efficiency, output accuracy, and response consistency • Establish AI performance measurement frameworks and ROI tracking • Drive initiatives to reduce LLM operational costs while maintaining output quality • Architect AI agents and multi-agent frameworks • Design autonomous workflows using Model Context Protocol, Agent-to-Agent communication, Tool Calling, Function Calling, and Workflow Orchestration • Build intelligent AI copilots and virtual assistants • Lead end-to-end delivery of GenAI solutions from ideation through production deployment • Design and implement RAG, GraphRAG, Knowledge Management Platforms, Enterprise Search Solutions, AI Copilots, and Document Intelligence Solutions • Integrate AI solutions with enterprise applications and data platforms • Define and implement Responsible AI frameworks, security and privacy controls, model governance, compliance standards, guardrails, and human-in-the-loop processes • Ensure enterprise AI solutions meet regulatory and risk requirements • Act as trusted AI advisor to senior executives • Translate complex AI concepts into business outcomes • Conduct AI workshops and executive briefings • Identify high-value AI use cases and build business cases • Support AI investment decisions and vendor evaluations

🎯 Requirements

• 15+ Years Overall Experience • 7+ Years in AI/ML Solutions • 3+ Years in Generative AI and LLM-based Architectures • Deep expertise in Generative AI, Agentic AI, Large Language Models (LLMs), and AI platform architecture • Hands-on expertise across OpenAI GPT, Claude, Gemini, Llama, Mistral, Cohere, and emerging AI platforms • Experience with GenAI architecture, Agentic AI, multi-agent systems, AI copilots, enterprise AI platforms, LLMOps, and AI governance • Experience with RAG, GraphRAG, hybrid search, vector databases, embeddings, and semantic search • Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, and LlamaIndex • Experience with Azure AI Foundry, Azure OpenAI, AWS Bedrock, Google Vertex AI, and Databricks AI • Proficiency in Python, REST APIs, microservices, and enterprise integration patterns • Executive presence and communication skills • Ability to influence C-level stakeholders • Strong consulting and problem-solving capabilities • Experience leading cross-functional AI transformation programs • Ability to mentor architects, engineers, and business teams