Forward Deployed Engineer

Forward Deployed EngineeralliantAI Services

ABOUT THE ROLE

alliant is building an engineering-led delivery model for its AI practice andwerelooking fora Forward Deployed Engineer (FDE)to embed directly with our clients: running technical discovery architecting solutions writing code and owning the ROI case alongside the build.

Unlike an FDE at a product company you will not be adapting a fixed platform to a customers use case.You will combinealliantsreusable AI accelerators reference architectures agent templates prompt libraries and industry playbooks into solutions built for each clients environment. The goal is to adapt proven IP quickly and return what you learn to the sharedlibraryso the next engagement moves faster anddelivers athigher quality.

This is a hands-on role in a practicethatsintentionally still being shaped. You are part software developer part value-engineer part product thinker;and your success is measured as much by the ROI and impact recognized by a client as by the code you ship. Technologists here need to build real commercial fluency and stakeholder range; delivery BA and PM professionals need to build hands-on skills in AI-assisted development solution design and rapid prototyping. Wherever you startyoureexpected to grow across that full spectrum.Youllwork alongside PMs solution architects software engineers and data scientists in a model built for close collaboration rather than functional silos.

As a premier consultingand technologyfirmalliant is focused on providing solutions to help businesses transform and thrivewhile serving as their ongoing growth partner.

WHAT YOULL DO

• Diagnose before you build.Embed with client stakeholders to understand their technical environment workflows and business goals as well asquantify the value case (cost savings cycle-time reduction revenue impact) before a line of code gets written.

• Buildfrom the accelerator library not from scratch.Configure and extendalliantsreusable agent patterns reference architectures and prompt libraries into AI-driven integrations and agentic workflows tailored to each client;favoring speed-to-value over bespoke engineering.

• Own delivery outcomes.Lead technical onboarding and deployment for enterprise engagements delivering on time on budget and against a measurable ROI target in partnership with Solution Architects Tech Leads and Project Managers.

• Make the ROI story defensible.Instrument solutions and report on business outcomes so every engagement produces a value narrative the clients own leadership can champion internally reflectingthe difference between a satisfied client and aRavingFan.

• Create the internal-to-external learning loop.Work withalliantsinternal AI Center of Excellence toproductionizesuccessful internal agents evaluation methods referencearchitectures and delivery frameworks for external clients. Feed patterns client demand and field results back into the sharedroadmapso each engagement improves the next.

• Troubleshootunder pressure.Resolve complex technical issues in live client environments often on compressed timelines.

• Be the internal technical champion.Influence solution design accelerator roadmap and where the practice invests in new reusable capability.

• Help expandthe client relationship.Support technical discovery demos and rapidproof-of-valuebuilds thatestablishthe case for broader strategic engagements. Translatean initialuse case into a credible roadmap architecture and value thesis that practice leadership can commercialize.

• Travel to client sites as needed (up to 3050% depending on engagement).

WHAT YOULL BRING

• Bachelors degree in Computer Science Computer Engineering Software Engineering Data Science or related field.

• 5 years in software engineering solutions consulting or technical delivery with hands-on coding ability in Python JavaScript/TypeScript Java or Gopreferred.

• Experience working directly with enterprise clients in a technical or consultative capacity;comfortable being the person accountable for both the build and the business case.

• Working knowledge of REST APIs cloud infrastructure (Azure preferred) and modern software architecture.

• Hands-on experience with AI-assisted development tools (e.g. GitHub Copilot Claude Code) and genuine depth in LLM/agent development and rapid prototyping.

• Comfortoperatingin a scaling services environment without a fixed product roadmapwhere the platform is a growing library of accelerators you help shape not a finished system you configure.

• Excellent communication skillswith the abilityto move fluidly between engineering detail and executive-level ROI framing and to manage stakeholders across both conversations.

• Self-starter mentality with the ability tooperateindependently in ambiguous fast-moving environments.

• Receptiveness to performance feedback within a team environment is essential.

• Travel to client sites as needed (up to 3050% depending on engagement).

• Preferred candidate willresideorrelocateto Houston.

• You do not need to arrive equally strong across engineering consulting and value realization.

• You do needdemonstrateddepth in at least one of those areas workingfluencyin the others and the ability to grow quickly across the full FDE model.

• Candidates from project business or process backgrounds withdemonstratedtechnical fluency anda track recordof delivery are encouraged to apply.

NICE TO HAVE

• Prior experience in AI/ML delivery agentic system design or applied data science.

• Experience with Microsoft Azure AI Copilot or Power Platform.

• Domain exposure to tax/professional services financial services healthcare manufacturing or private equity.

• Background as a BA PM or solutions consultant who has grown into hands-on technical delivery or vice versa.

• Experience supporting presales or proof-of-concept work in a consulting or professional services environment.

OUR NORTH STAR