AI Solutions Architect -GenAI & Enterprise AI Strategy

ZENITH INFOTEK LLC

Alabama

Hybrid

USD 180,000 - 260,000

Full time

14 days+

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Job summary

ZENITH INFOTEK LLC in Warren, New Jersey seeks an experienced AI Solutions Architect to lead GenAI strategy, architecture, and enterprise AI implementations across Finance and Corporate Functions. This senior role requires hands-on expertise with LLMs, AI platforms, governance, and ROI-driven delivery.

You will partner with executives to define AI roadmaps, evaluate models, and build scalable, secure GenAI solutions that reduce costs and boost productivity while ensuring compliance and strong

Qualifications

Senior-level AI leader with hands-on experience in GenAI, LLM platforms, and enterprise AI architecture.
Proven ability to translate business goals into scalable AI roadmaps and governance.
Experience partnering with executives to drive AI ROI, cost controls, and risk management.

Responsibilities

Define enterprise AI architecture and roadmap aligned with business objectives.
Design scalable, secure GenAI solutions leveraging multiple LLM providers.
Establish AI reference architectures, 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.
Evaluate emerging LLMs and new releases; build evaluation scorecards and ROI frameworks.
Design advanced prompting frameworks and optimize prompts for cost reduction and accuracy.
Architect AI agents and multi-agent frameworks; develop AI copilots and autonomous workflows.
Lead end-to-end delivery of GenAI solutions from ideation to production deployment.
Define Responsible AI frameworks, governance, security, and compliance standards.
Act as trusted AI advisor to senior executives and translate AI concepts into business outcomes.

Skills

Executive leadership

AI strategy

Architectural design

GenAI

LLMs

Prompt engineering

Model evaluation

Cost optimization

Governance

Stakeholder management

Tools

Azure AI Foundry

Azure OpenAI

AWS Bedrock

Google Vertex AI

Databricks AI

LangChain

LangGraph

Semantic Kernel

AutoGen

CrewAI

LlamaIndex

Job description

Title: AI Solutions Architect (GenAI & Enterprise AI Strategy)

Location: Warren, New Jersey (remote)

Duration: Long Term

Experience

15+ Years Overall Experience
7+ Years in AI/ML Solutions
3+ Years in Generative AI and LLM-based Architectures

Ideal Candidate Profile

A senior AI leader and hands‑on architect who can seamlessly bridge business strategy, enterprise architecture, GenAI innovation, and executive stakeholder management, while continuously evaluating emerging AI technologies and ensuring we remains at the foreground of enterprise AI adoption.

Role Summary

We are seeking a highly experienced AI Solutions Architect to lead the evaluation, architecture, implementation, and optimization of enterprise AI solutions across Finance and Corporate Functions. This is a strategic, customer‑facing role requiring deep expertise in Generative AI, Agentic AI, Large Language Models (LLMs), and AI platform architecture. The ideal candidate will possess strong hands‑on expertise across leading foundation models including OpenAI GPT, Claude, Gemini, Llama, Mistral, Cohere, and emerging AI platforms. The individual will continuously assess new model releases, benchmark capabilities, identify business applicability, and drive AI adoption while ensuring measurable business value, governance, security, and cost optimization. This role will work directly with senior business leaders, particularly within Finance and Executive Leadership teams, to identify opportunities where AI can improve productivity, decision quality, operational efficiency, and reduce overall AI consumption costs through advanced prompt engineering, model selection, and architecture optimization.

Key Responsibilities

AI Strategy & Architecture

Define enterprise AI architecture and roadmap aligned with business objectives.
Design scalable, secure, and production‑ready GenAI solutions leveraging multiple LLM providers.
Establish AI reference architectures, 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.

LLM Evaluation & Benchmarking

Continuously evaluate emerging LLMs and new releases from: OpenAI (GPT Family)
Anthropic (Claude)
Perform comparative assessments across: Accuracy, Response quality, Reasoning capability, Hallucination rates, Performance, Security posture, Cost per token, Enterprise readiness
Build model evaluation scorecards and recommendation frameworks.

Prompt Engineering & Token Optimization

Design advanced prompting frameworks for enterprise use cases.
Partner with Finance executives and business users to optimize prompts for: Cost reduction, Token consumption efficiency, Output accuracy, Response consistency
Develop reusable prompt libraries and knowledge repositories.
Establish AI performance measurement frameworks and ROI tracking.
Drive initiatives to reduce LLM operational costs while maintaining output quality.

Agentic AI & AI Automation

Architect AI agents and multi‑agent frameworks.
Design autonomous workflows leveraging: MCP (Model Context Protocol), Agent‑to‑Agent communication, Tool Calling, Function Calling, Workflow Orchestration
Build intelligent AI copilots and virtual assistants for business functions.

Enterprise AI Implementation

Lead end‑to‑end delivery of GenAI solutions from ideation through production deployment.
Design and implement: Retrieval Augmented Generation (RAG), GraphRAG, Knowledge Management Platforms, Enterprise Search Solutions, AI Copilots, Document Intelligence Solutions
Integrate AI solutions with enterprise applications and data platforms.

Responsible AI & Governance

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.

Executive Advisory