AI Innovation Engineer
Listed on 2026-06-18
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IT/Tech
AI Engineer (Applied/Software)
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 a daily workflow. We’re hiring a builder/coach who ships production AI work and earns adoption from subject matter experts.
What Success Looks Like6 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 front‑end 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.
Workflow & Agentic Engineering (60%)
- 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 have access to 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 toward goals, and revisit training and adoption mechanisms.
AI Stack Curation / Governance / Documentation (15%)
- 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%)
- Internal Enablement: Run lightweight internal training, office hours, and troubleshooting clinics to upskill team members on AI‑augmented work.
- Service‑Model Translation: Advise/consult on revised service‑model artifacts: scope‑of‑work content, pricing implications, policies, and marketing collateral.
- Compliance & AI Policy: Advise and actively contribute to AI policies designed to encourage and enable use, establish SOPs, and mitigate risk to clients, staff, and the business.
Must Haves:
- 5+ years of professional experience with at least 2 years of exposure in the marketing / agency space.
- Engineering foundation strong enough to evaluate tools, build agentic workflows, ship MCP integrations, and use coding assistants (Claude Code, Cursor, Codex) as daily…
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