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Forward Deployed Engineer

$136,000–$155,000San Francisco, CA +9HybridFull-time

A client-facing engineer who takes generative AI solutions from operational discovery through deployment and adoption, closing the gap between prototypes and measurable business impact.

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

$136K–$155KBelow the median

Midpoint $146K · 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 San Francisco, CA · New York, NY · +6 more. Could you work in one of these?

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Conditions

Location
San Francisco, CA · New York, NY · Charlotte, NC · Los Angeles, CA · Houston, TX · Atlanta, GA · Baltimore, MD · Chicago, IL · Greater Seattle · Washington D.C.
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: $136,000-155,000. 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

  • Translate client needs into deployable AI solutions.
  • Build and deploy LLM agents, RAG pipelines, and workflow automation.
  • Integrate AI solutions with client APIs, databases, and business tools.
  • Train teams and iterate on production solutions to drive adoption and impact.

What you’ll bring

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