> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Head of Anthropic Forward Deployed Engineering (FDE)

Canonical URL: https://nextmove.md/fde/jobs/d0ff083dee2d6ece

Lovelytics posts a FDE role to lead deployment teams in US · city not listed with no pay posted. Leads Anthropic client engagements as the technical authority while building and managing Lovelytics’ Forward Deployed Engineering team and delivery practice. Read from the employer’s posting on November 8, 2026.

- [Lovelytics](https://nextmove.md/fde/companies/lovelytics)

Posted Aug 24, 2026 by Lovelytics · open on Greenhouse as of Nov 8, 2026

Pay not posted US · city not listed

Leads Anthropic client engagements as the technical authority while building and managing Lovelytics’ Forward Deployed Engineering team and delivery practice.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fd0ff083dee2d6ece&placement=top)
- [View posting at Lovelytics](https://job-boards.greenhouse.io/lovelytics/jobs/4362198009)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

Not posted

Staff+ FDE postings, 388 postings: the middle 50% of posted pay is $197K to $262K, median $225K.

### The work

Leads the deployment team

Balance **Mixed**

Project stages

1. Pre-sales
2. Proof of concept (not covered)
3. Implementation
4. Operations (not covered)

Travel **Up to 40%**

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Staff+

- **Role**: Technical lead

### What they ask for

Experience

- **10+ years** software engineering, AI engineering, machine learning, or data engineering

Background

- **Software engineering**
- **Implementation and data engineering**

### Do you meet what the posting states?

The posting asks for 10+ years. How many do you have?

The posting reads as a staff-level role. What level are you at now?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: US · city not listed

- **Travel**: Up to 40%

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## The job description from Lovelytics

Posted by Lovelytics on Aug 24, 2026

Founded in 2017, Lovelytics helps some of the most complex enterprises across Energy & Utilities, Media & Entertainment, Manufacturing, Retail & CPG, Healthcare and Financial Services 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 of it is delivered primarily on Databricks, with deep partnerships across AWS, Azure, and GCP.

In September 2026, Lovelytics became a CDW company. CDW completed its acquisition on September 25, 2026, bringing our team into its Data & Analytics Practice. Together, we can take customers from data strategy to production AI with a single partner across the full technology lifecycle.

Lovelytics now has 600+ people across the United States, Canada, Argentina, and Colombia, all working exclusively in data and AI. We’ve kept the technically excellent, low-ego culture that earned us a Best Places to Work recognition, a spot among Databricks’ top partners, and three appearances on the Inc. 5000.

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.

The Head of Anthropic Forward Deployed Engineering is responsible for owning our technical leadership on projects, building a team of technical Anthropic experts, and supporting the development of Lovelytics’ delivery IP as it relates to Anthropic.

### Primary 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. — need to

### Qualifications

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

*Lovelytics is an Equal Opportunity Employer. This means you don’t have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability. *

[View posting at Lovelytics](https://job-boards.greenhouse.io/lovelytics/jobs/4362198009)

## About Lovelytics

Data and AI consultancy helping enterprises modernize, govern, and use data and move AI systems into production.

Acquired · 500–1000 people

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