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# AI Implementation Manager / AI Integration Specialist

- **Company:** POEL GROUP
- **Location:** Edison, NJ, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, Software as a Service, Cloud Computing, Data Mining, Operational Databases, Robotic Automation Software, Data Streaming, Systems Integration, Workflow Management Systems, Large Language Models, Performance Monitor
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-implementation-manager-ai-integration-specialist-edison-nj--f064acee-cab5-4e07-b5c2-39ac6d50959d

## About the Role

Artificial Intelligence (AI), Artificial Intelligence (AI), Business Transformation, Algorithms, Cost Control, Business Operations, Operations, Leading Edge Technology, Workflow Analysis, Technical Operations, * Experience: 3 to 5+ years of experience in technical project management, operations management, business analysis, or digital transformation roles.

 * AI Literacy: Strong, practical knowledge of the current AI vendor landscape (e.g., LLMs, automated workflow tools, data extraction, RPA, and AI-driven SaaS platforms). You know what tools exist and what they can actually do for a business.
 * Integration Familiarity: Basic understanding of cloud infrastructure, APIs, and data flows to effectively collaborate with developers and software vendors.
 * Change Management: Proven track record of rolling out new software or processes across non-technical teams with high adoption rates.
 * Analytical Mindset: Strong financial acumen with the ability to build cost-benefit analyses and present data-backed recommendations to executive leadership.

Core Competencies

 * The "Industry Intelligence" Filter: Ability to look past tech-industry hype and evaluate tools purely based on practical, job-ready utility and commercial revenue impact.
 * Translation Skills: Exceptional communication skills-able to talk logic and APIs with developers, and ROI and operational metrics with executives.
 * Problem Solving: A natural curiosity and obsession with optimization, automation, and cutting through operational noise.

## Description

We are seeking a forward-thinking, outcomes-driven AI Implementation Manager / AI Integration Specialist to lead our company's internal AI transformation. In this role, you will not be building AI algorithms from scratch; instead, you will be the ultimate bridge between cutting-edge technology and business operations. Your mission is to analyze our current workflows, identify inefficiencies, vet and select market-ready AI tools, and successfully integrate them into our daily operations to drive massive efficiency gains and measurable cost savings.
If you are a tech-savvy operations professional who loves finding "the smarter way to work" and can translate technical capabilities into clear, bottom-line business value, this role is for you., * Workflow Audit & Identification: Continuously analyze departmental workflows (e.g., HR, Sales, Finance, Customer Service, Legal) to identify repetitive, high-friction, or manual tasks ripe for AI automation.

 * Vendor Vetting & ROI Analysis: Research, test, and evaluate commercial AI tools, platforms, and software vendors. Build clear business cases and calculate potential return on investment (ROI) and cost-reduction metrics before purchasing.
 * System Integration & Hands-on Deployment: Partner with internal IT/Tech teams or external vendors to safely integrate selected AI tools into our existing software stack (CRM, ERP, internal databases).
 * Change Management & Internal Training: Create simple, clear documentation, playbooks, and training programs to ensure high employee adoption rates. Act as the internal champion to help teams overcome resistance to new tech.
 * Performance Monitoring: Establish Key Performance Indicators (KPIs) to track the performance, accuracy, and actual financial impact of implemented AI tools, adjusting strategies based on real-world data.
 * Risk & Compliance Guardrails: Ensure all implemented tools comply with data privacy regulations, company security standards, and ethical AI guidelines., * Operational Efficiency: Percent reduction in hours spent on specific manual tasks post-AI adoption.
 * Cost Savings: Total dollar amount saved by replacing or optimizing inefficient processes/legacy software.
 * User Adoption Rate: Percentage of target internal employees actively using the implemented AI tools weekly.