IG
Forward Deployed Engineer
Accepting applicationsInsight Global · Dallas-Fort Worth Metroplex
Full-Time Mid_senior AIMachine LearningMentoraianalog
Posted
3d ago
Category
Test
Experience
Mid_senior
Country
United States
Senior Forward Deployed Engineer
Client Delivery & AI Engineering
The Rol
eWe 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 require
s.The T-Shaped Senior F
DEThe Horizontal Bar — Senior Level Expectatio
nsAt the Senior level, these are not things you can do with support — they are things you do independently, instinctively, and at a standard that others can learn fro
m:Lead client conversations: run discovery sessions, present solutions, navigate pushback, and build trust through technical credibili
tyDecompose ambiguous problems into buildable scope: you do not wait for requirements — you create th
emShip production-quality code that an offshore engineer in a different timezone can pick up and extend without calling y
ouWork across the stack without hesitation: your specialization determines where you lead, not where you st
opSelf-manage completely: create your own task breakdowns, set timelines, flag risks before anyone as
ksDocument as a reflex, not a chore: architecture decisions, runbooks, and handoff notes produced as you wo
rkContribute to IP capture actively: work with the TA to identify reusable patterns and ensure Factory backlog items are logg
edOwn customer adoption: watch for adoption signals, iterate based on real user feedba
ckSupport sales and pre-sales: join prospect conversations, shape engagement scope, provide defensible estimat
esMentor Junior FDEs: elevate the team through code review, pairing, and coachi
ngThe Vertical Bar — Your Dep
thYou lead with deep expertise in one specialization. At the Senior level, you make architectural recommendations in your domain that the Technical Architect trusts without heavy revie
w.
Specializat
ionFocus A
reaMachine Learning /
AIModel development, LLM orchestration, agentic workflows, MLOps, evaluation and fine-tun
ingData Engineering /
ETLPipelines, ingestion, transformation, data quality, warehousing, ontology des
ignFull Stack Developm
entApplications, APIs, frontend, backend, agent UIs, end-to-end feature deliv
eryAnalytics /
BIReporting, visualization, insight generation, metric design, decision supp
ortInfrastructure / Dev
OpsCloud architecture, CI/CD, environments, reliability, deployment automat
ion
Key Responsibili
tiesClient-Facing Deli
veryOwn one or more workstreams within a client engagement end-to-end — from discovery through build, deployment, and adop
tionBuild and configure agent workflows, data pipelines, integrations, and AI-powered solutions in live customer environm
entsOperate as the technical authority on your workst
reamPartner with the Technical Architect on cross-cutting architectural decis
ionsIterate rapidly based on client feedback — ship working solutions fast, validate with real users, and re
fineIP Capture & Platform Contribu
tionIdentify reusable patterns, components, and frameworks within your workstream and flag them for abstrac
tionWork with the Technical Architect to contribute production-grade assets to the IP lib
raryEnsure every engagement you work on produces Factory backlog items — this is non-negoti
ableDraw on existing IP library assets to accelerate delivery — reuse is as important as crea
tionTeam & Practice Develop
mentMentor Junior FDEs through code review, pairing sessions, and real-time coaching on client engagem
entsSet the quality bar for code, documentation, and client communication within your
PODContribute to internal knowledge sharing — write-ups, tech talks, and lessons lea
rnedHelp assess and interview FDE candidates as the team sc
alesPre-Sales & Engagement Sha
pingJoin prospect conversations to demonstrate technical credibility and help shape what we commi
t toContribute to SOWs, proposals, and scoping conversations with defensible technical estim
atesEvaluate incoming opportunities for technical feasibility and team
fit
Qualifica
tionsReq
uiredStrongly Pref
erred5+ years of hands-on software engineering experience with a track record of shipping production sy
stemsDeep expertise in at least one specialization area: ML/AI, Data Engineering, Full Stack, Analytics/BI, or D
evOpsDemonstrated ability to work directly with clients or external stakeho
ldersExperience operating in ambiguous environments — consulting, professional services, sta
rtupsStrong fluency with AI tools and work
flowsProven ability to work across the stack when n
eededStrong written and verbal communic
ationExperience mentoring junior engi
neersExperience building agentic AI systems, RAG architectures, or LLM orchestration work
flowsBackground in professional services, systems integration, or technology consu
ltingExperience with distributed or offshore delivery
teamsFamiliarity with MCP (Model Context Prot
ocol)Prior experience contributing to an IP library or accelerator repos
itoryExperience in regulated industries: financial services, healthcare, or insu
ranceFamiliarity with cloud platforms (AWS, Azure,
GCP)
Core Compet
enciesTechnical
DepthClient Partn
ershipProblem Decompo
sitionIP M
indsetSelf-Mana
gementMent
orshipCommunication C
larityDelivery Accounta
bility
Show more Show less
Client Delivery & AI Engineering
The Rol
eWe 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 require
s.The T-Shaped Senior F
DEThe Horizontal Bar — Senior Level Expectatio
nsAt the Senior level, these are not things you can do with support — they are things you do independently, instinctively, and at a standard that others can learn fro
m:Lead client conversations: run discovery sessions, present solutions, navigate pushback, and build trust through technical credibili
tyDecompose ambiguous problems into buildable scope: you do not wait for requirements — you create th
emShip production-quality code that an offshore engineer in a different timezone can pick up and extend without calling y
ouWork across the stack without hesitation: your specialization determines where you lead, not where you st
opSelf-manage completely: create your own task breakdowns, set timelines, flag risks before anyone as
ksDocument as a reflex, not a chore: architecture decisions, runbooks, and handoff notes produced as you wo
rkContribute to IP capture actively: work with the TA to identify reusable patterns and ensure Factory backlog items are logg
edOwn customer adoption: watch for adoption signals, iterate based on real user feedba
ckSupport sales and pre-sales: join prospect conversations, shape engagement scope, provide defensible estimat
esMentor Junior FDEs: elevate the team through code review, pairing, and coachi
ngThe Vertical Bar — Your Dep
thYou lead with deep expertise in one specialization. At the Senior level, you make architectural recommendations in your domain that the Technical Architect trusts without heavy revie
w.
Specializat
ionFocus A
reaMachine Learning /
AIModel development, LLM orchestration, agentic workflows, MLOps, evaluation and fine-tun
ingData Engineering /
ETLPipelines, ingestion, transformation, data quality, warehousing, ontology des
ignFull Stack Developm
entApplications, APIs, frontend, backend, agent UIs, end-to-end feature deliv
eryAnalytics /
BIReporting, visualization, insight generation, metric design, decision supp
ortInfrastructure / Dev
OpsCloud architecture, CI/CD, environments, reliability, deployment automat
ion
Key Responsibili
tiesClient-Facing Deli
veryOwn one or more workstreams within a client engagement end-to-end — from discovery through build, deployment, and adop
tionBuild and configure agent workflows, data pipelines, integrations, and AI-powered solutions in live customer environm
entsOperate as the technical authority on your workst
reamPartner with the Technical Architect on cross-cutting architectural decis
ionsIterate rapidly based on client feedback — ship working solutions fast, validate with real users, and re
fineIP Capture & Platform Contribu
tionIdentify reusable patterns, components, and frameworks within your workstream and flag them for abstrac
tionWork with the Technical Architect to contribute production-grade assets to the IP lib
raryEnsure every engagement you work on produces Factory backlog items — this is non-negoti
ableDraw on existing IP library assets to accelerate delivery — reuse is as important as crea
tionTeam & Practice Develop
mentMentor Junior FDEs through code review, pairing sessions, and real-time coaching on client engagem
entsSet the quality bar for code, documentation, and client communication within your
PODContribute to internal knowledge sharing — write-ups, tech talks, and lessons lea
rnedHelp assess and interview FDE candidates as the team sc
alesPre-Sales & Engagement Sha
pingJoin prospect conversations to demonstrate technical credibility and help shape what we commi
t toContribute to SOWs, proposals, and scoping conversations with defensible technical estim
atesEvaluate incoming opportunities for technical feasibility and team
fit
Qualifica
tionsReq
uiredStrongly Pref
erred5+ years of hands-on software engineering experience with a track record of shipping production sy
stemsDeep expertise in at least one specialization area: ML/AI, Data Engineering, Full Stack, Analytics/BI, or D
evOpsDemonstrated ability to work directly with clients or external stakeho
ldersExperience operating in ambiguous environments — consulting, professional services, sta
rtupsStrong fluency with AI tools and work
flowsProven ability to work across the stack when n
eededStrong written and verbal communic
ationExperience mentoring junior engi
neersExperience building agentic AI systems, RAG architectures, or LLM orchestration work
flowsBackground in professional services, systems integration, or technology consu
ltingExperience with distributed or offshore delivery
teamsFamiliarity with MCP (Model Context Prot
ocol)Prior experience contributing to an IP library or accelerator repos
itoryExperience in regulated industries: financial services, healthcare, or insu
ranceFamiliarity with cloud platforms (AWS, Azure,
GCP)
Core Compet
enciesTechnical
DepthClient Partn
ershipProblem Decompo
sitionIP M
indsetSelf-Mana
gementMent
orshipCommunication C
larityDelivery Accounta
bility
Show more Show less