Product Manager- Forward Deployed Agentic Sr Lead

Strategic Staffing Solutions is currently looking for a Product Manager - Forward Deployed Agentic Sr Lead for a W2 contract opportunity.

Product Manager - Forward Deployed Agentic Sr Lead
Location: Charlotte, NC

Work Schedule: Hybrid

Duration: 9 months

Top Skills

Strong hands‑on experience with LLMs (Claude, GPT, Gemini or similar)

Experience building and deploying agentic AI systems in production environments

Deep understanding of tool-augmented LLMs, function calling, and orchestration

Experience with MCP tools or equivalent LLM‑to‑system integration frameworks

This is a W‑2 contract opportunity; candidates must be able to work on our W‑2 only. NO C2C or 1099.

Role Overview
The Forward Deployed Agentic Sr Lead will drive the forward deployment of agentic AI products across the Chief Operating Office, acting as the bridge between product development, operations, and AI engineering. The role focuses on embedding LLM‑powered, agentic workflows directly into enterprise processes, enabling measurable business outcomes, operational transformation, and scalable AI adoption.

This role is a hands‑on hybrid of product management, forward‑deployed engineering, and agentic AI solution design, with a strong emphasis on real‑world execution in banking environments.

In this role, you will

Lead end‑to‑end deployment of agentic AI solutions into live banking operations

Embed AI agents directly into operational workflows for automation and decision support

Work closely with business and operations teams to move from concept to production

Ensure enterprise‑grade deployment, scalability, and governance of AI solutions

Discovery, Process Intelligence & Value Realization

Conduct structured discovery sessions with business and operations stakeholders

Analyze process artifacts (SOPs, runbooks, workflows, video recordings, process mining outputs, etc.) to identify AI and automation opportunities

Translate operational processes into agentic workflows and solution blueprints

Define KPIs and quantify business benefits (cost reduction, cycle time, risk mitigation, productivity gains)

Build ROI models and value realization frameworks for AI initiatives

Agentic Solution Design, MCP Tools & Workflow Orchestration

Design and implement agentic AI solutions using process artifacts as input for workflow automation

Develop multi‑step AI agents capable of reasoning, tool use, and task execution

Leverage MCP (Model Context Protocol) tools to integrate LLMs with enterprise systems, APIs, and data sources

Enable tool‑augmented LLM workflows including function calling, orchestration, and structured outputs

Build reusable agent patterns for banking operations use cases (e.g., case resolution, reconciliation, compliance checks)

LLM & GenAI Expertise (Hands‑on Execution)

Hands‑on experience with LLM platforms including:

Claude (Anthropic)

Gemini (Google)

GPT (OpenAI)

Design prompt architectures, reasoning chains, and agent workflows

Implement RAG (Retrieval‑Augmented Generation) and contextual grounding strategies

Evaluate model performance, reliability, and enterprise readiness

Ensure responsible AI usage, governance, and compliance adherence

Product Management & Delivery Leadership

Own full lifecycle of agentic AI products from discovery through production deployment

Translate business requirements into product specifications and technical designs

Manage backlog, prioritization, and iterative delivery cycles

Partner with engineering teams to ensure scalable, secure implementation

Align delivery with enterprise architecture, security, and risk frameworks

Capability Development: Agentic Skills Library & Reusable Assets

Build and maintain an Agentic Skills Library of reusable capabilities, including:

Task‑specific AI agents (e.g., summarization, reconciliation, classification, decision support)

Workflow components (e.g., data extraction, validation, routing, reasoning chains)

Prompt templates, tool‑use patterns, and orchestration blueprints

Enable systematic reuse of agentic capabilities across multiple banking use cases

Establish standards for versioning, governance, and lifecycle management of agent skills

Continuously expand the library based on production learnings and new use cases

Drive "build once, reuse everywhere" approach for agentic automation

AI Capability Building & Organizational Enablement

Build reusable AI and agentic frameworks across banking operations

Develop standards for converting process artifacts into AI‑ready workflows

Enable teams through training, documentation, and best practices

Drive AI literacy and adoption across operations and product teams

Establish operating model for scaling agentic AI across the enterprise

Stakeholder & Cross‑Functional Leadership

Act as primary interface between business, operations, engineering, and AI teams

Influence senior stakeholders on AI‑driven transformation strategy

Align multiple functions including operations, risk, compliance, and technology

Drive enterprise adoption of agentic solutions at scale

Required Skills & Experience

Forward Deployment Engineering

Experience deploying AI solutions directly into business operations

Ability to work closely with end users in real production environments

Strong problem‑solving across complex enterprise workflows

Background in consulting, forward deployed engineering, or AI product teams

Exposure to orchestration platforms, automation tools, or AI frameworks

Experience building enterprise‑grade AI platforms or reusable agent frameworks

Process Intelligence & Artifact‑Driven Automation

Experience working with process artifacts (SOPs, workflows, operational documentation, process mining outputs)

Ability to convert structured and unstructured process data into executable AI workflows

Exposure to operational excellence, BPM, or process re‑engineering environments

Product & Delivery Management

Experience in product ownership or product management roles

Strong capability in discovery, requirement definition, and execution delivery

Ability to quantify business value and build ROI models

Experience managing cross‑functional product delivery in enterprise settings

Banking / Financial Services Domain

Understanding of banking operations (commercial, corporate, or investment banking preferred)

Familiarity with operational risk, compliance, and control frameworks

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