> 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. # Lead Consultant, Gen AI Canonical URL: https://nextmove.md/fde/jobs/49d6ba1b5b494dcd Lovelytics posts a FDE role to build what the customer runs in Arlington, VA and 1 more, at $112,000–$160,000 base, below the senior FDE median of $190,000 across 1,864 postings with pay. Leads client-facing GenAI engagements on Databricks, owning technical delivery from solution design through production and operational readiness. Read from the employer’s posting on November 8, 2026. - [Lovelytics](https://nextmove.md/fde/companies/lovelytics) Posted May 18, 2026 by Lovelytics · open on Greenhouse as of Nov 8, 2026 **$112,000–$160,000** + equity Arlington, VA +1 Remote Leads client-facing GenAI engagements on Databricks, owning technical delivery from solution design through production and operational readiness. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F49d6ba1b5b494dcd&placement=top) - [View posting at Lovelytics](https://job-boards.greenhouse.io/lovelytics/jobs/4239783009) 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 $112K–$160K Below the median Midpoint $136K · median $190K This job $112K to $160K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Builds what the customer runs Balance **Mostly building** Project stages 1. Pre-sales (not covered) 2. Proof of concept 3. Implementation 4. Operations - **Coding**: Writes production code - **Builds for**: External customers - **Level**: Senior - **Role**: Technical lead ### What they ask for Experience - **3+ years** overall experience in data, ML, AI, cloud, or software engineering *Preferred* - **5+ years** overall experience in data, ML, AI, cloud, or software engineering *Preferred* - **1+ years** hands-on GenAI/LLM project experience *Preferred* - **2+ years** hands-on GenAI/LLM project experience *Preferred* Background - **Software engineering** - **Implementation and data engineering** Visa - **No visa sponsorship** ### Do you meet what the posting states? The posting asks for 3+ years. How many do you have? The posting reads as a senior role. What level are you at now? The work is remote from the US. Can you work from the US? The posting says no visa sponsorship. Do you need one? 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**: Arlington, VA · Chicago, IL - **Work arrangement**: Remote - **Visa sponsorship**: Not available - **Pay**: ## More like this [Salesforce](https://nextmove.md/fde/companies/salesforce) ### [Forward Deployed Engineer (FDE) (Mid/Senior Level)](https://nextmove.md/fde/jobs/2a5e1855e6916121) San Francisco, CA · Seattle, WA · +8 more Remote 4mo ago $88,970–$198,170 [Defense Unicorns](https://nextmove.md/fde/companies/defense-unicorns) ### [Senior Platform Engineer (FedD239)](https://nextmove.md/fde/jobs/2d80b4f518bdc61d) Springfield, VA Remote 5w ago $148,750–$201,250 [InterImage, Inc.](https://nextmove.md/fde/companies/interimage-inc) ### [AI/ML Software Developer](https://nextmove.md/fde/jobs/4b45839854e6c864) Arlington, VA Remote 2w ago $105,000–$180,000 - [Other jobs at Lovelytics (1)](https://nextmove.md/fde/companies/lovelytics) ## The job description from Lovelytics Posted by Lovelytics on May 18, 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 seeking a Lead GenAI Consultant with hands-on experience delivering client-facing projects in the Generative AI domain, particularly on the Databricks platform. As part of our growing AI & GenAI practice, this role offers an exciting opportunity to design and deploy state-of-the-art solutions that combine language models, vector databases, and cutting-edge orchestration frameworks. The Lead Consultant will play a pivotal role in delivering client engagements focused on AI Agents, Retrieval-Augmented Generation (RAG), LLM application development, prompt engineering / DSPy, GenAI-driven automation, and advanced NLP. Our ideal candidate blends technical depth with consulting acumen and thrives in a collaborative, fast-paced environment. **Note:** This position is not eligible for work sponsorship at this time. ### Primary Responsibilities - Lead delivery of significant GenAI and Agentic AI workstreams on Databricks, from detailed design through production implementation. - Own technical execution for assigned solution components, including design decisions, development, testing, deployment, and operational readiness. - Provide day-to-day technical guidance to Senior Consultants and review code, architecture, and implementation quality. - Work directly with client technical teams to clarify requirements, communicate progress, resolve blockers, and explain technical tradeoffs. - Ensure solutions follow GenAI engineering standards for quality, security, evaluation, observability, scalability, and maintainability. - Contribute to technical discovery, estimates, demos, solution design, and reusable GenAI assets. ### Required Skills and Experience - Proven hands-on experience building GenAI solutions using LLMs, RAG or broader retrieval patterns, AI agents, tool calling, prompt engineering, and orchestration. - Solid Databricks experience across relevant capabilities such as Mosaic AI, Model Serving, MLflow, Unity Catalog, Vector Search, Databricks Apps, and Lakehouse architecture. - Strong Python and software engineering fundamentals, including APIs, testing, Git, CI/CD, and deployment practices. - Experience with GenAI evaluation, monitoring, guardrails, prompt optimization, and production troubleshooting. - Ability to independently design and implement moderately complex solution components using structured and unstructured data. - Working understanding of data engineering, ML, and cloud architecture concepts. - Ability to lead technical discussions, working sessions, demos, and design reviews with client engineering teams. - Ability to mentor Senior Consultants and provide constructive technical feedback. ### Our Ideal Candidate's Skills and Experiences - B.S. in Computer Science or equivalent technical field. - 3-5 years of experience, with meaningful experience in data, ML, AI, cloud, or software engineering. - Demonstrated 1-2 years hands-on GenAI/LLM project experience, preferably including production implementations. - Experience owning technical workstreams or major solution components. - Consulting or professional services experience preferred - Databricks certifications and broader familiarity with the Databricks Data Intelligence Platform. - Experience with DSPy, automated prompt optimization, fine-tuning, synthetic data generation, or advanced evaluation approaches. - Experience with Agentic AI, multi-agent systems, MCP, human-in-the-loop workflows, or advanced orchestration. ### What We Promise You - Meaningful, cutting-edge projects in Generative AI with clients across industries—from Fortune 100 firms to disruptive startups. - Rapid learning and mentorship opportunities with AI/GenAI thought leaders and practitioners. - A culture of experimentation, innovation, and continuous improvement. - Opportunity to be a conference speaker, blogger, writer. - A diverse, inclusive team and one of the best GenAI teams, where your voice, ideas, and contributions are highly valued. The base salary range for this position for candidates based in the US is **$112,000-160,000** per year. Compensation is determined based on a variety of factors including, but not limited to, relevant experience, skills, qualifications, scope of role and budget. Candidates are not guaranteed to be placed at any particular point within the range, and most offers will fall within the middle of the range or below. Lovelytics is committed to pay equity and transparency in compensation practices. *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/4239783009) ## About Lovelytics Data and AI consultancy helping enterprises modernize, govern, and use data and move AI systems into production. 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