Job Title: Forward Deployed Engineer Company Name: Trustwise Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4370450769&f_AL=true&f_TPR=r5000&f_WT=2&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&start=25 Job Description: Trustwise Share Show more options Forward Deployment Engineer United States · 1 hour ago · 57 applicants Promoted by hirer · No response insights available yet Remote Matches your job preferences, workplace type is Remote. Full-time Matches your job preferences, job type is Full-time. Easy Apply Save Save Forward Deployment Engineer at Trustwise Forward Deployment Engineer Trustwise · United States (Remote) Easy Apply Save Save Forward Deployment Engineer at Trustwise Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Try Premium for PKR0 About the job COMPANY DESCRIPTION Trustwise is a venture-funded, early stage startup. Founded by a successful entrepreneur with multiple exits and first GM of IBM Watson. The executive team together has over 10 exits valued at over $2B, with one IPO. Trustwise is the AI Trust Management company, providing the runtime supervision enterprises need to deploy, govern, and scale AI systems with confidence. As organizations accelerate their adoption of agentic AI, Trustwise delivers the control layer that transforms experimental AI pilots into trusted, production-ready systems. Trustwise has been recognized by Gartner® as a 2025 Cool Vendor™ for Agentic AI in Banking and Financial Services. The company collaborates with leading global enterprises to power cutting-edge AI deployments. ABOUT THE ROLE We're seeking a Forward Deployed Engineer who thrives on solving unique technical challenges in close partnership with clients. Every client engagement brings different problems, constraints, and opportunities; you'll be the bridge between cutting-edge AI technology and real-world business impact, working directly with enterprise clients to design, build, and deliver custom solutions. This role demands technical depth, rapid learning ability, and strong ownership. You'll need to understand complex client problems, translate them into clean technical solutions, and execute end-to-end delivery. We're looking for someone who can walk into ambiguous situations, ask the right questions, and emerge with a working system that solves real problems. WHAT YOU WILL DO Client Engagement & Problem Solving Work directly with Fortune 500 clients to understand their technical challenges and business objectives, translating ambiguous problems into structured technical approaches Design custom solutions that integrate with clients' existing systems, workflows, and constraints Serve as the technical authority clients trust to deliver working solutions. Technical Delivery & Implementation Build and deploy production AI systems, including LLM-based applications, guardrails, and evaluation frameworks Design evaluation systems to measure performance, detect drift, and validate model behavior Take ownership of technical decisions, architecture, and code quality throughout the delivery lifecycle Enablement & Knowledge Transfer Communicate complex technical concepts clearly to both technical and non-technical stakeholders Collaborate with internal teams to surface insights that improve our product and delivery approach REQUIRED QUALIFICATIONS Technical Foundation Ability to turn ambiguous problems into structured experiments: breaking down hazy requirements, identifying what to measure, iterating toward solutions 2+ years of hands-on software engineering experience in production environments Strong programming skills in at least one of: Python, Rust, or Java Experience with AI systems, particularly generative AI and LLMs Solid understanding of software engineering fundamentals: data structures, algorithms, system design, testing Client-Facing & Ownership Prior experience working directly with clients or external stakeholders in a technical capacity Demonstrated ownership mentality: seeing projects through from conception to delivery, taking responsibility for outcomes Product-minded thinking: understanding user needs and translating them into clean technical abstractions Strong communication skills: explaining technical concepts clearly, writing documentation, presenting to diverse audiences Learning & Adaptability Proven ability to learn quickly: picking up new technologies, domains, and frameworks as needed Comfort with ambiguity and self-directed problem solving Bachelor's degree or higher in Computer Science, Engineering, Physics, Mathematics, or related STEM field (exceptional candidates with equivalent demonstrated experience will be considered) DESIRED QUALIFICATIONS Software Engineering & Platforms Building backend services at scale: APIs, microservices, distributed systems Data engineering: pipelines, feature stores, ETL processes System reliability: queues, caching, fault tolerance, error handling Understanding of fundamental data science and ML concepts: statistical analysis, model evaluation, experimentation Agentic & LLM Systems Building multi-agent systems: agent communication, delegation, orchestration LLM application development: prompt engineering, tool design, context management AI safety & guardrails: content filtering, bias mitigation, output validation Cloud & Operations Container orchestration (Kubernetes, Docker), Infrastructure as Code (Terraform, CDK), observability tools (Grafana, Prometheus, Datadog) IS THIS ROLE RIGHT FOR YOU? This role is ideal if you learn by building, thrive on variety, and care about impact. You'll succeed if you enjoy client work, value end-to-end ownership over narrow specialization, and are hungry to accelerate your learning through diverse, challenging problems. Early-career engineers who've been described as "quick studies" and who've shipped things that mattered often excel here. After 3-6 months, you'll have independently led multiple client engagements, built trust through reliable technical delivery, and developed repeatable patterns for navigating ambiguous requirements. After a year, you'll be a go-to technical expert clients request by name, with significantly expanded capabilities from exposure to diverse problems. This role may not be for you if you prefer deep specialization over breadth, find frequent context switching draining, or need highly structured requirements and well-defined processes. OUR APPROACH TO TEAM BUILDING We're optimizing for capability, learning velocity, and ownership over years of experience. If you're someone who takes initiative, who's shipped things that mattered, and who's looking for a role that will stretch and grow your capabilities, we want to hear from you. Please contact us at careers@trustwise.ai and include your resume. Job search faster with Premium