Head of Anthropic Forward Deployed Engineering (FDE)

Lovelytics•Canada, KS

12h•Hybrid

About The Position

Founded in 2017, Lovelytics has helped some of the most complex enterprises across industries such as Energy & Utilities, Media & Entertainment, Manufacturing and Retail & CPG, modernize their data and put AI to work, not in a deck, but in production. We move fast, stay close to the cutting edge, and care more about outcomes than optics. Our work spans the full data and AI lifecycle: Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and Cloud Migration & Modernization — all delivered on Databricks, with deep partnerships across AWS, Azure, and GCP. To date, we've delivered over $2B in business value for Fortune 500 clients. In the last year, Lovelytics has grown from 85 to 500+ people across the Americas, all while keeping the technically excellent, low-ego culture that makes the work worth doing, earning us a Best Places to Work recognition and a spot among Databricks' top partners. Lovelytics is looking for a Head of Anthropic Forward Deployed Engineering to serve as both a hands-on client facing technical leader, as well as helping us build out and expand our Anthropic FDE team. This role would play the lead FDE role on Lovelytics’ Anthropic clients, and also lead the building and management of the FDE team at Lovelytics within the Anthropic practice.

Requirements

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field (or equivalent experience).
10+ years of experience in software engineering, AI engineering, machine learning, or data engineering.
Demonstrated experience architecting and deploying enterprise data client engagements while leading a team.
Hands-on experience with Cowork and Code, including designing, building, and deploying AI workflows and enterprise AI applications.
Expertise in Python and modern software engineering practices.
Proven ability to build applications using large language models (LLMs), including prompt engineering, RAG, AI agents, tool calling, and orchestration frameworks.
Strong understanding of APIs, distributed systems, authentication, and enterprise application architecture.
Experience in a client-facing consulting, professional services, solutions engineering, or technical advisory role.
Excellent communication and presentation skills with the ability to communicate effectively with both technical and executive audiences.
Willingness to travel and work on client sites (20-40%)

Nice To Haves

Experience with Anthropic Claude, Model Context Protocol (MCP), Databricks, LangGraph, LangChain, LlamaIndex, or similar AI technologies is strongly preferred.

Responsibilities

Serve as the lead architect and technical authority for all Anthropic client engagements.
Establish the foundation for Lovelytics’ Forward Deployed Engineering Practice and build the team needed to scale it effectively.
Design, build, and deploy enterprise AI applications leveraging Anthropic Claude and the broader Anthropic ecosystem.
Partner with clients to understand business objectives and translate them into scalable AI solution architectures.
Lead technical discovery sessions, architecture workshops, and solution design discussions with client stakeholders.
Establish technical standards, best practices, and reusable reference architectures for Anthropic implementations.
Develop reusable delivery and implementation methodologies to scale the Anthropic practice.
Support business development efforts through technical solutioning, client presentations, demonstrations, and proposal development in partnership with Lovelytics Anthropic GTM team.
Stay current on advancements in generative AI and continuously identify opportunities to improve delivery, automation, and client value.
Develop production-ready applications utilizing LLMs, Retrieval-Augmented Generation (RAG), AI agents, tool use, Model Context Protocol (MCP), and modern AI orchestration frameworks.
Architect secure integrations between AI applications, enterprise data platforms, APIs, and cloud infrastructure.