Strategy and Execution - Strategy & Planning Consultant 4 - Contingent

Introduction

In this contingent resource assignment, you will consult on complex initiatives with broad impact and large-scale planning for Strategy and Planning. You will review and analyze complex, multi-faceted, larger scale, or longer-term Strategy and Planning challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented factors. Your role will contribute to the resolution of complex and multi-faceted situations requiring a solid understanding of the function, policies, procedures, and compliance requirements to meet deliverables. You will strategically collaborate and consult with client personnel.

Required Skills & Qualifications

• 5 years of Strategy and Planning experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
• Prior work experience at client or in client's Industry.
• Applicants must be able to work directly for Artech on W2.

Preferred Skills & Qualifications

• Agentic AI & LLM Expertise
  • 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
• 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

Day-to-Day Responsibilities

• Forward Deployment of Agentic AI Products
  • 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

For immediate consideration please click APPLY to begin the screening process with Alex.