Forward Deployed Engineer (AI & Business Transformation) – Technology & Creative Network

ABOUT TRUELOGIC

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.

By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

OUR CLIENT

Global technology and creative network that bridges the gap between engineering and design to drive business transformation for leading enterprise brands. They partner with executive leadership to redefine possibilities, create lasting impact, and implement the necessary technologies to power the entire customer journey.

JOB SUMMARY

We are seeking a highly skilled Forward Deployed Engineer (FDE) to sit at the core of enterprise transformation engagements, directly embedding with client teams to redesign workflows, establish operating models, and drive technology adoption. This is a highly hands-on, consultative role where you will conduct organizational diagnostics and rapidly build functional, AI-powered proofs of concept to demonstrate real-world value. The ideal candidate is a proactive diagnostician and builder who blends management consulting expertise with the technical capability to ship working prototypes autonomously, ultimately accelerating business adoption and delivering measurable ROI.

RESPONSIBILITIES

- Map current-state workflows end-to-end to diagnose root causes of operational friction, including handoff failures, governance gaps, and tooling mismatches. - Redesign target-state operations for leaner workflows, clearer decision rights, and effective human-agent collaboration to accelerate throughput using AI. - Design comprehensive operating models, including organizational structure, roles, governance, cross-functional interaction models, and value realization. - Establish performance baselines and build measurement frameworks that track improvement continuously throughout the engagement. - Identify value gaps in stalled implementations, diagnosing where technology deployment has outpaced business adoption to restore the path to ROI. - Build working, AI-powered prototypes directly utilizing LLM APIs, platform-native features, and low-code/no-code environments to create functional solutions. - Utilize working demos and prototypes as the primary tool for stakeholder alignment directly within the client's actual processes. - Evaluate where AI practically enhances a workflow versus where it serves as a distraction, advising clients with realistic, grounded expectations. - Support the rollout of new tools and workflows, ensuring adoption is rooted in process design and change management. - Design enablement materials that ensure new technology implementations effectively connect to and support the intended operating model. - Support complex engagement scoping and conduct diagnostic assessments for value capture, implementation readiness, and adoption strategy. - Contribute reusable frameworks and tools that continuously improve practice qualification and scoping.