--- title: 'Senior Forward Deployed Engineer at Eliza' canonical: 'https://feeny.ai/job/senior-forward-deployed-engineer-eliza-united-states-27a2djjbbdga' type: 'job' last_seen: '2026-09-08' --- # Senior Forward Deployed Engineer at Eliza - **Company:** Eliza - **Location:** United States - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-07-28 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.ashbyhq.com/eliza/f70b2ec2-a079-4ad1-ad2e-b54cec71c66c ## Job description ## SENIOR FORWARD DEPLOYED ENGINEER ## ABOUT US Eliza is a technology services company and Advanced-tier OpenAI partner that’s dedicated to helping organizations build and deploy cutting-edge AI solutions. From generative AI and custom LLM integrations to predictive analytics and intelligent automation, we work across industries to bring real-world AI applications to life. Our projects combine deep technical expertise with hands-on client collaboration to solve high-impact problems. ## ROLE OVERVIEW The Senior Forward Deployed Engineer (Senior FDE) executes the core technical work on our hardest client problems. This is a senior individual contributor role with real depth: you take ambiguous, high-stakes work from problem definition through shipped outcome, own the architecture and the tradeoffs, and set the technical standard clients experience. Senior FDEs go deep on a major engagement or workstream rather than broad across a portfolio. You are the person we send when the problem is genuinely difficult, the requirements are unclear, and the client needs someone who can hold the technical line while still shipping. You will review critical work before it reaches clients and lift the engineers around you through pairing, review, and example. This role is for engineers who want the hardest technical problems and direct client exposure without trading hands-on work for a management track. ## KEY RESPONSIBILITIES 1. Lead Complex Technical Delivery - Own end-to-end delivery quality for a major engagement, workstream, or solution area. - Translate ambiguous client needs into practical execution plans, technical milestones, and shipped outcomes. - Maintain a clear view of status, risks, blockers, and dependencies within your scope. - Raise quality concerns early and correct course before client confidence is affected. 1. Own Architecture and Technical Tradeoffs - Lead solution architecture and technical decision-making for your workstream. - Make pragmatic tradeoffs between speed, quality, scope, maintainability, cost, latency, and client value—and explain your reasoning. - Review critical technical work before it is shared with clients or treated as production-ready. - Recognize when a problem needs deeper expertise or a second set of eyes. - Turn hard-won solutions into reusable patterns that raise the floor for future engagements. 1. Build and Deploy Production AI Systems - Design and ship AI/ML solutions using Python, modern ML frameworks, LLM orchestration tooling, and cloud-native infrastructure. - Integrate LLMs and other generative models into client products and workflows at production quality. - Own fine-tuning, prompt engineering, retrieval, and evaluation pipelines where the problem calls for them. - Make sound decisions about security, data privacy, and compliance constraints in enterprise environments. 1. Earn and Maintain Client Trust - Act as the senior technical voice on your engagement, credible with both engineers and executives. - Communicate direction, tradeoffs, risks, and progress clearly to technical and non-technical audiences. - Manage expectations with discipline when scope, timeline, data, or technical constraints change. - Keep account and commercial partners informed so client strategy reflects delivery reality. 1. Handle Risk with Judgment - Spot technical, delivery, scope, timeline, and client-alignment risks early. - Resolve what you can directly; escalate what you cannot, with clear context, options, and a recommendation. - Intervene decisively within your scope when quality, pace, or client confidence is at risk. 1. Lift the Engineers Around You - Mentor less experienced FDEs through technical review, pairing, and practical feedback. - Help teammates make better architecture, implementation, and communication decisions. - Model what excellent forward-deployed execution looks like in client-facing work. - Contribute to interview loops, onboarding, and technical standards. ## QUALIFICATIONS Required - 5+ years of software engineering experience, including significant backend or full-stack depth. - Track record of independently owning complex, ambiguous technical work from definition through production. - Strong programming skills in Python; fluency in at least one additional language (JavaScript/TypeScript, Go, or similar). - Demonstrated experience delivering real-world ML/AI systems in production, not just prototypes. - Deep comfort with modern cloud platforms (AWS, GCP, or Azure), infrastructure-as-code, and CI/CD workflows. - Excellent client communication: you can hold a room, explain a tradeoff, and deliver bad news early. - Sound architectural judgment and the instinct to escalate at the right moment rather than the last moment. ## Preferred - Substantial production experience with LLMs (e.g., Anthropic, OpenAI, Cohere), vector search, retrieval-augmented generation, or agentic systems. - Prior consulting, professional services, solutions architecture, or forward-deployed engineering experience. - Familiarity with MLOps practices and tooling (e.g., MLflow, Weights & Biases, SageMaker). - Working knowledge of enterprise security, data privacy, and compliance constraints. - Experience mentoring engineers through influence rather than authority. ## WHAT WE OFFER - Competitive compensation (salary + annual bonus). - Equity options in a growing AI services company. - Fully remote work - Remote work perks include a WFH stipend and monthly lifestyle stipend - A genuine senior IC track—technical leadership with real scope, without a forced move into people management. - The hardest problems in the portfolio, and the autonomy to solve them. - Flexibility to work across industries and problem domains. - A collaborative, mission-driven team passionate about the real-world impact of AI. ## About Eliza ## Company Overview - **One-liner**: Eliza is an AI-native consulting firm that helps enterprises integrate and adopt OpenAI's technology through training, workflow redesign, and custom AI system development. - **Entity Type**: Private (funding stage not disclosed) - **Headquarters**: Austin, Texas, USA - **Founded**: Not publicly available - **Founders**: Stephen Garden (CEO) and Brian Benedict (Co-founder, Chief Commercial Officer) ## Core Business - Primary industry: Enterprise AI Consulting & Implementation - Target customers: B2B, Enterprise (large organizations, private equity firms, CPG companies) - Mission: "Help enterprises integrate and adopt AI to transform operations, improve productivity, and accelerate innovation." ## Products & Services - **Fusion**: AI fluency and training service – embeds AI Architects and enablement leaders to provide ChatGPT training and consulting, turning ChatGPT Enterprise into a productivity engine. - **Flow**: AI-assisted workflow automation – simplifies and accelerates core processes such as customer support, employee onboarding, and finance approvals. - **Forge**: Custom AI engineering – builds production-grade AI systems (intelligent agents, copilots, embedded automations) from proof-of-concept to deployment. - **Client Services / Forward Deployed Engineering**: On-the-ground talent that translates business problems into AI-powered solutions, from use case discovery through delivery. ## Market Standing - **Valuation**: Not disclosed - **Key Metric**: Notably, Eliza delivered $12.5M in value across deal intelligence solutions for a $4BN private equity firm and a 10,000+ user ChatGPT rollout for a global private equity firm. - **Notable Investors/Partners**: OpenAI Services Partner - **Growth Signals**: 57 total employees (as of latest data); actively recruiting across multiple roles; described as "rapidly growing" on careers page; team collectively scaled 6 startups to over 4,000 employees and $500M in revenue. ## Competitive Advantages - Deep partnership with OpenAI as an official Services Partner. - Platform-powered services delivery model combining AI product leadership with tech services entrepreneurship. - End-to-end offerings spanning training, workflow redesign, and custom software development – moving clients beyond pilots to production. - Leadership team with experience scaling startups to significant revenue and headcount. ## Strategic Focus - Helping enterprises move "from AI ambition to action" – bridging the gap between frontier AI technology and real enterprise impact. - Focusing on building AI-fluent workforces, redesigning core workflows, and shipping production-grade AI systems that deliver measurable ROI. ## Why Work Here - **Culture**: High-trust, high-autonomy teams; "curiosity is rewarded, growth is expected, and impact is shared." Emphasis on "builders, thinkers, and doers." - **Work style**: In-office (Austin, TX). Employees work from physical offices. - **Growth**: Described as a "launchpad for personal and professional growth" – "we move fast, but we invest in you faster." - **Impact**: From day one, work on projects that drive real transformation for forward-looking organizations. - **Team**: Collaborative environment with thoughtful technologists, strategists, and creatives solving novel problems. ## Sources 1. [eliza.com](https://eliza.com/) 2. [eliza.com/careers](https://eliza.com/careers) 3. [eliza.com/about](https://eliza.com/about) 4. [jobs.ashbyhq.com/eliza](https://jobs.ashbyhq.com/eliza) 5. 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