> 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.

# Senior AI Engineer

Canonical URL: https://nextmove.md/fde/jobs/5bfac65f00cfc7f8

Blue Orange Digital posts a senior FDE role to build what the customer runs, remote, hiring in New York with no pay posted. Senior AI Engineer serving as the implementation lead for agentic and ML workstreams within three-to-five-person client delivery pods. Read from the employer’s posting on November 8, 2026.

- [Blue Orange Digital](https://nextmove.md/fde/companies/blue-orange-digital)

Posted Apr 17, 2026 by Blue Orange Digital · open on Teamtailor as of Nov 8, 2026

Pay not posted Remote, hiring in New York

Senior AI Engineer serving as the implementation lead for agentic and ML workstreams within three-to-five-person client delivery pods.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F5bfac65f00cfc7f8&placement=top)
- [View posting at Blue Orange Digital](https://careers.blueorange.digital/jobs/594186-senior-ai-engineer)

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**: Technical lead

### What they ask for

Experience

- **5+ years** building production data and ML systems in Python
- **2+ years** LLM-based or agentic systems

Background

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

### Do you meet what the posting states?

The posting asks for 2+ 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?

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**: New York, NY

- **Work arrangement**: Remote

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## The job description from Blue Orange Digital

Posted by Blue Orange Digital on Apr 17, 2026

### Company overview:

Blue Orange Digital is a data engineering and AI consultancy that builds production-grade data platforms, ML systems, and analytics solutions for companies that take their data seriously. We are not a staff augmentation shop or a slide-deck consultancy. We are builders. Our teams embed directly into client engineering organizations, shipping code alongside their engineers to accelerate delivery and build lasting capability.

Our clients include Fortune 500 enterprises, high-growth startups, and a growing roster of private equity portfolio companies. We partner with Databricks, Snowflake, AWS, GCP, and Azure to deliver battle-tested solutions that drive measurable ROI.

**Note:** Please submit your resume in English, as all application materials must be in English for review and consideration.

### Position overview:

Blue Orange Digital is scaling its AI practice and needs Senior AI Engineers to deliver production agentic and AI systems to client engagements. The work is a mix of deep, single-client transformations and portfolio-wide programs. Examples of what you could be shipping in any given quarter include:

- End-to-end AI transformations for mid-market SaaS companies replacing manual, human-in-the-loop workflows with fully orchestrated agentic operations (document processing, review cycles, customer-facing copilots)
- AI readiness assessments and phased implementation roadmaps across private equity and growth-equity portfolios, where a single engagement may span five to fifteen portfolio companies at varying maturity levels
- Production RAG and retrieval systems for knowledge-heavy domains such as financial services, legal, compliance, and regulated public-sector workflows

- Agentic tooling and MCP-based integration layers that connect LLMs to client systems of record, internal APIs, and third-party SaaS
- Evals, observability, and guardrail frameworks that take client-built prototypes from notebook demos to load-tested, monitored production services
- Internal AI enablement engagements — helping client engineering orgs stand up their first production agent platform, define patterns, and upskill their teams

### Pod Structure:

- You will work as a senior IC inside a delivery pod — the core unit of how BOD delivers AI work. A typical pod is three to five people:
- AI Architect — owns the platform and data foundations
- AI Transformation Consultant — drives strategy, roadmap, change management, and executive alignment
- Senior AI Engineer(s) (this role) — owns the agentic and ML implementation workstream
- Additional roles as needed to scale the build
- Pods operate as a cohesive unit that tackles cutting-edge AI strategy and implementation end-to-end — from discovery and architecture through shipped, measured production systems — across a rotating portfolio of interesting clients. You will own the AI engineering workstream on your pod, partner daily with the Architect and Consultant as peers, and report into the Practice Lead.

### Responsibilities:

- Build production-grade agentic systems on Databricks and other lakehouse platforms, including orchestration frameworks, task runners, and monitoring layers
- Implement RAG pipelines, vector stores, and retrieval architectures that hold up under real-world load
- Stand up evals, observability, and guardrails for client-deployed AI systems
- Design and integrate MCP servers and tool-calling layers between LLMs and client systems
- Lead the AI engineering workstream on a client pod, partnering with the Architect on platform decisions and the Consultant on roadmap
- Coach client engineering teams on production AI patterns, including prompt management, model routing, and FinOps
- Contribute to BOD’s internal Edge product suite, including reference architectures and the Blueprint scan engine

### Requirements:

- 5+ years building production data and ML systems in Python; 2+ years specifically on LLM-based or agentic systems
- Hands-on experience with at least one major LLM orchestration framework (LangChain, LangGraph, Langflow, Databricks Agent Framework, or equivalent)
- Production experience with Databricks (Unity Catalog, Delta Live Tables, MLflow) or comparable lakehouse platforms such as Snowflake with dbt
- Deep knowledge of RAG architectures, vector databases, and embedding pipelines
- Proven track record taking AI systems from prototype to production, including evals, monitoring, and on-call ownership
- Comfortable working directly with client engineering teams as a peer and a coach

### Preferred qualifications:

- Databricks, AWS, or Azure certifications
- Experience with MCP, tool-calling protocols, or agentic protocol design
- Background in security-aware AI engineering (prompt injection, data leakage, access control)
- Multimodal AI experience across text, document, and image
- FinOps experience optimizing model and compute spend

### Benefits:

- Competitive compensation with performance bonuses
- Work on diverse, challenging projects across industries
- Direct access to cutting-edge tech stacks (Databricks, AWS, GCP, Azure)
- Builder culture where engineers lead and ship
- Professional development budget and certification support
- Flexible remote work environment
- Collaborative team that values production-grade craftsmanship

Background checks may be required for certain positions/projects.

Blue Orange Digital is an equal-opportunity employer.

[View posting at Blue Orange Digital](https://careers.blueorange.digital/jobs/594186-senior-ai-engineer)

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