Immediate need for a talented AI Leader. This is a 06+months contract opportunity with long-term potential and is located in NY or NJ (Hybrid). Please review the job description below and contact me ASAP if you are interested.
Job ID:26-35255
Pay Range: $80 - $85/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:
- Set the AI applications strategy.
- Define and own the vision and roadmap for AI-powered solutions, aligned to company and business-function priorities.
- Build agentic AI across the business.
- Design and deliver agentic AI solutions for functions across the organization — Sales, Finance, Operations, HR, Marketing, and more — that automate workflows and augment teams.
- Drive AI adoption and enablement.
- Champion AI across the company: lead change management, training, and enablement so teams actually use AI in their day-to-day, and measure and grow adoption over time.
- Own the full-stack AI solution.
- Architect end-to-end solutions with the right LLMs for each use case, and integrate them with core business systems and data sources (CRM, ERP, ticketing, knowledge bases, etc.).
- Ship production AI. Lead the design, development, evaluation, and deployment of LLM- and agent-driven applications — from prototype to scaled production.
- Partner cross-functionally. Work closely with business leaders, IT, Product, and Engineering to identify high-impact opportunities and turn them into shipped value.
- Partner with Business Applications.
- Collaborate closely with the Business Applications team to embed AI directly into core enterprise systems and workflows, ensuring solutions are integrated, supportable, and scalable.
- Own evaluation and quality. Establish rigorous evaluation, testing, and monitoring practices for model performance, accuracy, latency, and cost.
- Manage the model and platform stack.
- Make build-vs-buy decisions across foundation models, fine-tuning, RAG, agents, and orchestration; balance capability, cost, and reliability.
- Stand up AI governance. Establish AI governance framework — policies, review processes, an operating model (e.g., an AI council or center of excellence), and clear standards for how AI is evaluated, approved, and deployed.
- Drive responsible AI. Set standards and guardrails for safety, privacy, fairness, and governance, and ensure compliance with relevant policies and regulations.
- Be the internal expert. Keep the organization current on the fast-moving AI landscape and advise leadership on where to invest.
Key Requirements and Technology Experience:
- 10+ years of experience building software or AI solutions, with 5+ years in AI/ML and 2+ years leading applied-AI teams.
- A track record of building agentic AI solutions for business functions (e.g., Sales, Finance, Operations, HR) and shipping them to production at scale — not just prototypes.
- Demonstrated success driving AI adoption and enablement across an organization: change management, training, and measurable uptake.
- Establishing AI governance frameworks in an enterprise — policies, review and approval processes, and operating models (e.g., an AI council or center of excellence).
- Experience presenting AI strategy, progress, and recommendations to senior leadership and C-suite stakeholders.
- Experience architecting full-stack AI solutions — selecting the right LLMs for each use case and integrating with core business systems (CRM, ERP, data platforms, etc.).
- Deep, current understanding of LLMs and generative AI, including prompting, retrieval-augmented generation (RAG), fine-tuning, agents, and evaluation methods.
- Strong engineering fundamentals: you can go deep with your team on architecture, integrations, and trade-offs.
- Proven ability to hire, lead, and develop high-performing technical teams.
- Excellent communication and influence skills; you can rally non-technical teams around AI and explain complex concepts to executives and end users alike.
- A practical grasp of responsible AI — safety, privacy, bias, and governance.
- Experience hiring, managing, and developing direct reports; proven ability to build and grow high-performing AI teams.
- Hands-on experience with agentic AI orchestration frameworks (e.g., LangChain, Semantic Kernel, AutoGen, or similar) for designing and deploying multi-step agent workflows.
- Establishing AI governance and compliance frameworks such as the NIST AI Risk Management Framework (AI RMF) or EU AI Act, applied in an enterprise context.
- Demonstrated change management experience — driving adoption of new technology or ways of working across a broad, cross-functional organization.
Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
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