AI Solutions Architect – GenAI, Enterprise AI Strategy

This is a fully remote position, open to applicants in New Jersey.

📋 Description

• Define the enterprise AI architecture and roadmap that aligns with business objectives.

• Design scalable, secure, and production-ready Generative AI solutions utilizing multiple LLM providers.

• Establish AI design patterns, governance standards, and best practices.

• Lead architecture reviews and provide technical leadership across AI initiatives.

• Develop frameworks to promote AI adoption within Finance, Operations, Risk, Underwriting, Claims, and Corporate functions.

• Continuously assess emerging LLMs and their new releases.

• Conduct comparative evaluations on accuracy, response quality, reasoning ability, hallucination rates, performance, security posture, cost per token, and enterprise readiness.

• Create model evaluation scorecards and recommendation frameworks.

• Design advanced prompting frameworks and reusable prompt libraries.

• Optimize prompts for cost efficiency, token consumption, output accuracy, and response consistency.

• Establish AI performance measurement frameworks and ROI tracking.

• Drive initiatives aimed at reducing LLM operational costs while preserving output quality.

• Architect AI agents and multi-agent frameworks.

• Design autonomous workflows utilizing Model Context Protocol, Agent-to-Agent communication, Tool Calling, Function Calling, and Workflow Orchestration.

• Build intelligent AI copilots and virtual assistants.

• Oversee the complete delivery of Generative AI solutions from ideation to 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, alongside security and privacy controls, model governance, compliance standards, guardrails, and human-in-the-loop processes.

• Ensure that enterprise AI solutions adhere to regulatory and risk requirements.

• Serve as a trusted AI advisor to senior executives.

• Translate complex AI concepts into tangible business outcomes.

• Conduct AI workshops and executive briefings.

• Identify high-value AI use cases and develop compelling business cases.

• Support AI investment decisions and vendor evaluations.

⛳️ Requirements

• 15+ years of overall experience.

• 7+ years of experience in AI/ML solutions.

• 3+ years of experience in Generative AI and LLM-based architectures.

• Deep expertise in Generative AI, Agentic AI, Large Language Models (LLMs), and AI platform architecture.

• Hands-on experience with OpenAI GPT, Claude, Gemini, Llama, Mistral, Cohere, and emerging AI platforms.

• Familiarity 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.

• Proficiency with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, and LlamaIndex.

• Experience with Azure AI Foundry, Azure OpenAI, AWS Bedrock, Google Vertex AI, and Databricks AI.

• Proficient in Python, REST APIs, microservices, and enterprise integration patterns.

• Strong executive presence and communication skills.

• Ability to influence C-level stakeholders.

• Excellent consulting and problem-solving abilities.

• Experience leading cross-functional AI transformation programs.

• Capability to mentor architects, engineers, and business teams.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Retirement savings plan with company match.

• Opportunities for professional development and continuous learning.

• Flexible work hours and remote work options.