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Manager, Forward Deployed Engineer

$150,000–$180,000Charlotte, NC +8HybridFull-time

Deploys production generative AI solutions for clients, bridging engineering and change management to embed tools in real workflows and deliver measurable value.

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
External customers
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 Charlotte, NC · New York, NY · +5 more. Could you work in one of these?

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Conditions

Location
Charlotte, NC · New York, NY · Los Angeles, CA · Houston, TX · Atlanta, GA · Baltimore, MD · Chicago, IL · Greater Seattle, WA · Washington D.C., 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; onsite at client locations as engagement needs require.
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.

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What you’ll do

  • Translate client needs into deployable AI solutions.
  • Build and integrate LLM agents, RAG pipelines, and automated workflows.
  • Train client teams and iterate on production solutions.
  • Bridge technical teams and business decision-makers.

What you’ll bring

  • Engineering degree or equivalent training in computer science, information processing, or a related field.
  • Hands-on production LLM experience with 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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