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Manager, Forward Deployed Engineer

$150,000–$180,000New York, NY +9HybridFull-time

Translate client needs into deployable AI solutions.

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

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At a glance

Posted base pay

$150K–$180KBelow the median

Midpoint $165K · median $190K

The work

Builds what the customer runs

Balance Mostly building

Project stages

  1. Pre-sales
  2. Proof of concept (not covered)
  3. Implementation
  4. Operations
Coding
Writes production code
Builds for
Both
Level
Senior
Role
Individual contributor

What they ask for

Visa

  • No visa sponsorship

Do you meet what the posting states?

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

The job is in New York, NY · Charlotte, NC · +8 more. Could you work in one of these?

The posting says no visa sponsorship. Do you need one?

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Conditions

Location
New York, NY · Charlotte, NC · Seattle, WA · San Francisco, CA · Los Angeles, CA · Houston, TX · Atlanta, GA · Baltimore, MD · Chicago, IL · Washington, DC
Work arrangement
Hybrid
Remote work restrictions
Between client engagements, work from a Sia office or approved coworking location at least three days per week; client-site work may be required based on engagement needs.
Employment type
Full-time
Visa sponsorship
Not available
Pay
Pay details

Base Salary: $150,000-180,000. Actual compensation within this range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by applicable law.

More like this

What you’ll do

  • Design and implement LLM agents, RAG pipelines, workflow automation, and conversational interfaces.
  • Integrate solutions with client APIs, databases, and business tools, then iterate in production.
  • Train and support client teams to adopt deployed tools.
  • Contribute to AI research, firm offerings, publications, and business development.

What you’ll bring

  • Engineering degree or equivalent advanced training in computer science, information processing, or a related field.
  • Hands-on production experience with LLMs, including prompting, RAG, fine-tuning, and agent orchestration.
  • Proficiency in Python and applied AI frameworks such as LangChain, LlamaIndex, OpenAI SDK, or Anthropic SDK.
  • Experience integrating APIs and connecting heterogeneous systems.

About Sia

Global consulting firm providing strategy, management, AI, business transformation, and creative marketing services, alongside deployable AI agents and products.

Late-stage private · 2000–5000 people

View posting at Sia

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