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Consultant AI Agent Manager; AI Strategy

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Keystone
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Evaluation
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Consultant AI Agent Manager (AI Strategy)

We’re growing quickly and looking for an exceptional Consultant and AI Agent Manager to help clients move from AI ambition to AI-native execution. This role is designed for someone who combines structured consulting judgment with hands‑on fluency in agentic AI systems, modern technology architecture, and rigorous analytical problem‑solving.

About the Consultant and AI Agent Manager – AI Strategy Role

The Consultant and AI Agent Manager will work at the intersection of strategy, technology, and execution. You will scope ambiguous business problems, develop testable hypotheses, conduct rigorous analysis, and translate findings into clear client‑ready recommendations. Just as importantly, you will operate as a builder: using, managing, and improving AI agents as part of the delivery team to accelerate workflows, raise quality, and create tangible client value.

This is not a traditional strategy consulting role with AI as a side topic. Success requires high comfort working directly with AI tools, managing human-in-the-loop workflows, and partnering with technical and non-technical stakeholders to prototype and operationalize AI‑enabled solutions.

Key Responsibilities
  • Structure ambiguous client problems into clear workplans, hypotheses, analyses, and recommendations.
  • Conduct independent research, market analysis, technology landscape assessments, and competitive benchmarking.
  • Synthesize complex findings into crisp narratives for client executives, technical teams, and internal leadership.
  • Help identify high-impact AI use cases and translate them into pragmatic execution roadmaps.
Manage AI Agents as Part of the Delivery Team
  • Use agentic AI systems to complete and accelerate core consulting workflows, including research, synthesis, analysis, drafting, QA, and knowledge management.
  • Manage AI agents for quality, integration, human-in-the-loop review, and optimal contribution to project outcomes.
  • Design repeatable AI-enabled workflows that improve speed, rigor, and client value.
  • Evaluate outputs critically and maintain high standards for accuracy, judgment, and confidentiality.
Build, Prototype, and Implement
  • Work directly with AI tools rather than only advising from a distance.
  • Prototype solutions, prompts, workflows, and light technical approaches alongside clients and internal teams.
  • Partner with engineers, data scientists, and business stakeholders to understand feasibility, constraints, and implementation paths.
  • Bring a practical understanding of cloud infrastructure, data pipelines, LLM integration, and enterprise software ecosystems to client work.
Own Client-Ready Deliverables
  • Prepare high-quality analyses, memos, presentations, and executive communications.
  • Manage discrete work streams with strong ownership, judgment, and attention to detail.
  • Contribute to client meetings and workshops with clear communication and structured thinking.
  • Operate effectively in fast‑paced, ambiguous environments where priorities evolve quickly.
What You’ll Bring
Required
  • Experience in strategy consulting, business strategy, AI strategy, product strategy, technology strategy, or similarly rigorous analytical project work.
  • High level of comfort using AI tools and agentic workflows directly in professional work, including tasking agents, reviewing outputs, identifying gaps, and improving workflow quality.
  • Ability to evaluate AI-assisted outputs for quality, accuracy, business relevance, and client readiness.
  • Proven ability to translate research, expert input, client context, and AI-generated outputs into polished client‑facing materials.
  • Practical understanding of how business processes can be broken down, documented, and redesigned for AI-enabled delivery.
  • Proven builder orientation: willingness to roll up sleeves, use tools directly, prototype workflows, and implement practical solutions with clients.
  • Working fluency in modern AI and enterprise technology architecture, including cloud infrastructure, data pipelines, enterprise software, and LLM integration.
  • Exceptional structured problem-solving, analytical, and quantitative skills, including rigorous research, market analysis, and technology landscape assessment. Excellent communication and…
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