As the Lead Agentic AI Solutions Manager, you will own the entire lifecycle of transformation : from mapping messy human processes and scoping automation briefs to writing the code, connecting the APIs, and training teams to adopt their new “AI colleagues.”
If you are a builder who loves seeing your work run in production and a strategist who cares about the human impact of technology, this role is for you.
What Youll Do :
1. Architecture, Build & Deployment :
– Design & Ship Agents : Build production-ready agentic workflows using tools like LangChain, LangGraph, n8n, or Make across Finance, HR, and AdOps.
– LLM Engineering : Develop natural language query interfaces, intelligent routing agents, and RAG-powered document processing pipelines.
– Technical Integration : Own the API layer (REST, webhooks, JSON, OAuth) between business systems like CRMs, HR platforms, and Ad Servers.
– Prototyping : Rapidly move from a “whiteboard concept” to a “minimum viable agent,” testing with real users and iterating based on performance.
Process Discovery & Scoping :
– Process Mapping : Audit current workflows to identify bottlenecks, manual data entry points, and high-value automation opportunities.
– Strategic Prioritization : Maintain and sequence a backlog of transformation initiatives based on ROI, time-savings, and technical feasibility.
– Briefing : Translate complex business pain points into clear technical specifications with defined edge cases and success criteria.
Change Management & Adoption :
– Make it Stick : Own the “human side” of deploymentconducting training sessions, writing user guides, and providing hands-on support during transitions.
– Relationship Building : Work closely with team leads to handle resistance and ensure that automated tools are actually utilized by the workforce.
– Governance & Reliability : Set up observability (logging, alerting) and write runbooks so that automations are maintainable and compliant (GDPR/Data Privacy).
Specialized AdOps Automation :
– Campaign Lifecycle : Automate pacing alerts, budget tracking, and delivery discrepancy resolution to reduce manual overhead in media operations.
– Reporting Sync : Build automated data pipelines between DSPs/SSPs and internal reporting tools to eliminate manual data reconciliation.
What Youll Need :
Must-Have Experience :
– 6 to 10 years in technical automation, AI engineering, or business transformation delivery.
– Hands-on AI Delivery : Proven experience building and deploying LLM-powered tools or agents in a production environment (not just toy projects).
– Technical Stack : Proficiency in Python or JavaScript for custom scripting and mastery of at least one
automation platform (n8n, Make, LangChain).
– The Integration Mindset : Comfortable connecting systems that “aren’t designed to talk to each other” using APIs and webhooks.
– Operational Excellence : Strong stakeholder management skills and the ability to move a project forward independently from spec to live status
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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