> 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.

# Consultant - R01573317

Canonical URL: https://nextmove.md/fde/jobs/0e9aa7e579d755ab

Brillio posts a senior FDE role to build what the customer runs, remote, hiring in Missouri with no pay posted. Designs and deploys production AI and generative AI solutions directly in customer environments, guiding use cases from prototype through production. Read from the employer’s posting on November 8, 2026.

- [Brillio](https://nextmove.md/fde/companies/brillio)

Posted Nov 1, 2026 by Brillio · open on Lever as of Nov 8, 2026

Pay not posted Remote, hiring in Missouri

Designs and deploys production AI and generative AI solutions directly in customer environments, guiding use cases from prototype through production.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F0e9aa7e579d755ab&placement=top)
- [View posting at Brillio](https://jobs.lever.co/brillio-2/a5e236d9-bcb0-424f-aeb5-f1362763ba85/apply)

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

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**: Individual contributor

### Do you meet what the posting states?

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?

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**: Saint Louis, MO

- **Work arrangement**: Remote

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## The job description from Brillio

Posted by Brillio on Nov 1, 2026

### Consultant

### Primary Skills

- CSPO

### Specialization

- Product Management: Senior Software Development Lead

### Job requirements

- Job Title: AI Engineer – Forward Deployed Engineer (FDE) Job Summary We are looking for an experienced AI Engineer – Forward Deployed Engineer (FDE) to design, build, deploy, and operationalize AI solutions directly within customer environments. The role combines strong AI/ML and Generative AI engineering skills with hands-on customer engagement, solution architecture, and production deployment. The ideal candidate will work closely with customers, product teams, data engineers, and platform teams to translate business requirements into scalable AI solutions and accelerate adoption from prototype through production. Key Responsibilities Work directly with customers and business stakeholders to understand complex use cases and translate them into AI/GenAI solutions. Design, develop, and deploy production-grade applications using Large Language Models (LLMs) and machine learning technologies. Build Retrieval-Augmented Generation (RAG) pipelines using enterprise data sources, embeddings, vector databases, and semantic search. Develop AI agents and agentic workflows, including tool calling, orchestration, memory, and multi-step reasoning patterns. Integrate AI capabilities with enterprise applications, APIs, databases, cloud platforms, and existing business workflows. Perform prompt engineering, prompt optimization, model evaluation, and guardrail implementation. Develop backend services and APIs using Python, FastAPI, or similar frameworks. Work with LLM platforms and frameworks such as Azure OpenAI, OpenAI APIs, LangChain, LlamaIndex, Semantic Kernel, or equivalent technologies. Implement vector search solutions using technologies such as Azure AI Search, Pinecone, Weaviate, FAISS, or similar platforms. Design and implement scalable AI workloads on Azure, AWS, or Google Cloud Platform. Containerize and deploy AI applications using Docker and Kubernetes. Establish appropriate LLMOps/MLOps practices for deployment, monitoring, evaluation, observability, versioning, and continuous improvement. Develop proof-of-concepts and rapidly convert successful prototypes into production-ready solutions. Troubleshoot AI application issues across models, prompts, retrieval pipelines, APIs, infrastructure, and customer environments. Implement responsible AI practices covering security, privacy, access control, hallucination mitigation, content safety, and data governance. Collaborate with engineering and product teams to incorporate reusable customer solutions and feedback into the broader AI platform. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. Strong hands-on programming experience with Python. Experience developing production applications using Generative AI and LLMs. Strong understanding of RAG, embeddings, vector databases, semantic search, prompt engineering, and agentic AI. Experience integrating AI applications with REST APIs, enterprise databases, and cloud services. Hands-on experience with at least one major cloud platform: Microsoft Azure, AWS, or GCP. Good understanding of software engineering principles, Git, CI/CD, testing, containerization, and API development. Knowledge of machine learning concepts, model evaluation, inference, and performance optimization. Experience taking AI solutions from prototype/PoC to production deployment. Strong troubleshooting and problem-solving skills. Excellent customer-facing communication and stakeholder-management abilities. Ability to work in fast-paced environments with ambiguous or evolving customer requirements. Preferred Skills Experience with Azure OpenAI Service, Azure AI Foundry, Azure AI Search, Amazon Bedrock, Google Vertex AI, or similar AI platforms. Experience building AI agents, copilots, conversational AI, or autonomous workflows. Knowledge of LLM evaluation techniques, observability, tracing, hallucination detection, and AI guardrails. Experience with PyTorch, Tensor

[View posting at Brillio](https://jobs.lever.co/brillio-2/a5e236d9-bcb0-424f-aeb5-f1362763ba85/apply)

## About Brillio

Digital technology consulting and services provider using AI accelerators and global engineering teams to deliver enterprise transformation.

Late-stage private · 5000+ people

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