REMOTE Senior Forward Deployed Engineer

Insight Global
Dunwoody, GA, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Data Analysis Microsoft Azure Cloud Computing Information Technology Consulting Information Engineering DevOps Software Engineering Systems Integration Google Cloud Large Language Models

Job description

We are looking for a Senior Forward Deployed Engineer who can be dropped into a client engagement and trusted to run a workstream end-to-end with minimal oversight. You are an AI-native operator who builds, configures, and extends solutions in live customer environments. You are not a retrained consultant or a business analyst with access to AI tools. The closest analogues to this role in the industry are forward-deployed engineers at Palantir or Scale AI.

As a Senior FDE, you lead with deep expertise in one specialization but operate across the full problem space. You are the person who walks into a client meeting with a vague problem and walks out with a workable scope. You decompose ambiguity, ship working solutions fast, and ensure that what you build is actually adopted - not just deployed.

You are client-ready from day one. You represent IG Labs in every interaction. You mentor Junior FDEs, set the standard for what good looks like, and contribute to IP capture that makes every future engagement faster.

We are hiring across specializations. Your primary depth could be in ML/AI, Data Engineering, Full Stack Development, Analytics/BI, or DevOps - we will match you to engagements based on what the client problem requires.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Requirements

5+ years of hands-on software engineering experience with a track record of shipping production systems

-Deep expertise in at least one specialization area: ML/AI, —-Data Engineering, Full Stack, Analytics/BI, or DevOps

-Demonstrated ability to work directly with clients or external stakeholders

-Experience operating in ambiguous environments - consulting, professional services, startups

-Strong fluency with AI tools and workflows

-Proven ability to work across the stack when needed

-Strong written and verbal communication

-Experience mentoring junior engineers -Experience building agentic AI systems, RAG architectures, or LLM orchestration workflows

-Background in professional services, systems integration, or technology consulting

-Experience with distributed or offshore delivery teams

-Familiarity with MCP (Model Context Protocol)

-Prior experience contributing to an IP library or accelerator repository

-Experience in regulated industries: financial services, healthcare, or insurance

-Familiarity with cloud platforms (AWS, Azure, GCP)

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