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AI Innovation Engineer

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: 829 Studios
Full Time position
Listed on 2026-07-20
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 110000 - 135000 USD Yearly USD 110000.00 135000.00 YEAR
Job Description & How to Apply Below

Overview

As AI Innovation Engineer at 829, you'll work across the organization — partnering with VPs, directors, sales leadership, and subject matter experts — to drive operational excellence through AI-native tools and workflows. Your work directly impacts the team's ability to deliver cutting-edge services to clients, building technology with real impact internally and externally.

This is not a traditional AI strategy role. You'll write Python, build agentic workflows, ship MCP integrations, and use coding assistants (Claude Code, Cursor, Codex) as daily workflow. We're hiring a builder/coach who ships production AI work and earns adoption from subject matter experts. We are not hiring a strategist who delegates implementation, an AI evangelist without an operating record, or a researcher whose work doesn t practically reach the operating teams that need it.

This is a foundational role reporting directly to the President/COO. You ll have autonomy on execution, ownership of 829 s AI stack and skill library, and workflow architecture. You must be comfortable being scrappy, resourceful, and hands-on, while also operating cross-functionally to influence the broader organization.

What Success Looks Like

6 Months:

  • You’ve established a draft playbook around agentic workflow development inclusive of testing, implementation and adoption.

  • You’ve successfully crafted 3 - 5 workflows that have met adoption criteria.

  • You are able to quantify the success of 1 - 2 workflows through quantitative and qualitative data.

  • You have crafted a system to catalogue workflows, skills, and AI tools that enables shorter time-to-value and reduces sprawl.

  • Your peers, colleagues and 829’s Leadership Team regularly seek your counsel in relation to AI Service Enablement.

12 Months:

  • You have a pressure-tested playbook that details the agentic workflow implementation process and ongoing management.

  • You have established a framework for evaluating the performance of workflows.

  • You have integrated multiple workflows into a custom frontend in coordination with 829’s Head of Apollo and Engineering Resources.

  • You have supported the growth of the innovation function as a center of excellence and / or an extension of 829’s Data Platform, Apollo.

Responsibilities and Duties Workflow & Agentic Engineering (60%)

Architect and build proprietary AI agents and automation workflows. Using company-specific data to drive defensible competitive advantage.

  • Playbook: Develop and manage a playbook that includes discovery, pilot, improvement, implementation, adoption and measurement phases to execute work.

  • Pilots & Proof of Concept: Lead pilots across multiple disciplines to test approaches and technology, using results to inform production workflows and gain buy-in.

  • Integrations & Data Pipelines: Develop and maintain integrations between AI tools and core business systems and advertising platforms, including API builds, validation frameworks, and data pipelines.

  • SME

    Collaboration:

    Collaborate closely with subject matter experts to ensure solutions and workflows deliver value, enable team members to produce their best work, are usable, and access that appropriate data.

  • Leadership

    Collaboration:

    Collaborate with senior leaders to ensure that workflows accomplish desired strategic and quality objectives.

  • Adoption & Enablement: Ensure that workflows and systems are consistently improved and adopted through systems and cadences that check outputs, measure progress towards goals, and revisit training and adoption mechanisms.

AI Stack Curation / Governance / Documentation (15%)

Own the substrate of 829’s AI Innovation Initiatives.

  • AI Stack Documentation: Build and maintain 829 s AI stack — tool inventory, vendor strategy, build-vs-buy posture, integration map, and shared-context architecture.

  • Skill Library: Develop reusable patterns, agentic workflows, and MCP integrations that provide strategic value and compound across workflows.

  • Build vs. Buy: Consult on agency decisions to build workflows and tools vs. buy point solutions to achieve objectives.

General Enablement & Service-Model Translation (25%)

Guide and advise a technically competent team of marketing professionals to…

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