Location: Charlotte, NC
Salary: $68.00 USD Hourly - $73.00 USD Hourly
Description: Product Manager (Contingent) - Forward Deployed Agentic AI LeadWe are not accepting C2C or 1099 arrangements.Location: Charlotte, NC (Hybrid - 3 days onsite, 2 days remote)
Duration: Through End of Year (Potential Extension)
About the RoleWe are seeking a highly experienced
Forward Deployed Agentic AI Lead to drive the deployment and adoption of next-generation AI solutions across enterprise operations. In this role, you will work at the intersection of Product Management, AI Engineering, and Business Transformation, partnering directly with stakeholders to implement agentic AI systems that drive operational efficiency, scalability, and measurable business outcomes.
You will transform business processes into intelligent, AI-powered workflows by leveraging Large Language Models (LLMs), agentic architectures, and enterprise automation frameworks. The ideal candidate combines hands-on AI expertise with strong product leadership and a proven ability to deliver solutions in complex, regulated environments.
What You'll DoDrive Agentic AI Deployment- Lead end-to-end deployment of agentic AI solutions within enterprise and operational environments.
- Embed AI agents into critical business workflows to improve automation, decision-making, and productivity.
- Partner closely with business, operations, engineering, and AI teams to move solutions from concept to production.
- Ensure deployments meet enterprise standards for scalability, security, governance, and compliance.
Analyze Business Processes and Identify Opportunities- Facilitate discovery workshops with business and operational stakeholders.
- Evaluate workflows, SOPs, process documentation, and operational artifacts to identify AI-driven transformation opportunities.
- Translate complex operational processes into scalable agentic workflows and solution designs.
- Define success metrics and quantify business impact through ROI models and value realization frameworks.
Design Intelligent Agentic Solutions- Build and deploy AI agents that perform reasoning, task execution, workflow orchestration, and decision support.
- Integrate LLMs with enterprise systems, APIs, and data sources using Model Context Protocol (MCP) tools or similar frameworks.
- Develop reusable AI workflows, prompt architectures, orchestration patterns, and automation blueprints.
- Create scalable solutions for operational use cases such as case management, reconciliation, compliance validation, and workflow automation.
Lead Product Strategy and Execution- Own the product lifecycle from ideation and discovery through deployment and continuous improvement.
- Translate business requirements into product roadmaps, technical requirements, and execution plans.
- Manage feature prioritization, product backlogs, and iterative delivery processes.
- Collaborate with engineering teams to ensure secure and scalable implementations.
Build Reusable AI Capabilities- Develop and maintain a library of reusable agentic skills, workflows, prompt templates, and automation components.
- Establish standards for governance, version control, monitoring, and lifecycle management of AI capabilities.
- Promote a "build once, reuse everywhere" approach to accelerate enterprise AI adoption.
Enable Organizational AI Adoption- Develop frameworks, best practices, and standards for scalable AI implementation.
- Provide training, documentation, and guidance to support AI literacy and adoption.
- Help establish operating models that enable enterprise-wide deployment of agentic AI solutions.
Minimum Qualifications- Bachelor's degree or equivalent practical experience.
- 5+ years of experience in Product Management, Strategy, Consulting, AI Solutions, or related disciplines.
- Experience deploying AI or automation solutions in real-world business environments.
- Strong understanding of Large Language Models (LLMs), agentic systems, prompt engineering, and workflow orchestration.
- Experience translating business requirements into scalable technology solutions.
- Demonstrated ability to lead cross-functional initiatives involving business, technology, and operations teams.
- Experience evaluating business value, defining KPIs, and building ROI models.
Preferred Qualifications- Hands-on experience with LLM platforms such as:
- Google Gemini
- OpenAI GPT
- Anthropic Claude
- Experience with:
- Agentic AI architectures
- Retrieval-Augmented Generation (RAG)
- Function calling and tool-augmented AI workflows
- MCP (Model Context Protocol) integrations or similar frameworks
- Knowledge of process mining, workflow automation, BPM, or operational excellence methodologies.
- Experience building reusable AI frameworks, platforms, or enterprise automation solutions.
- Understanding of banking, financial services, risk management, compliance, and operational controls.
- Consulting, forward-deployed engineering, or enterprise transformation experience preferred.
Key Success Factors- Strong product ownership and execution mindset.
- Ability to bridge business strategy and technical implementation.
- Expertise in deploying AI solutions that produce measurable operational outcomes.
- Excellent stakeholder management and executive communication skills.
- Proven success delivering complex, cross-functional initiatives in highly regulated environments.
This position is ideal for a product leader who can combine AI innovation, technical depth, and business acumen to accelerate enterprise transformation through agentic AI.
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