Accellor is an AI-native services firm purpose-built for the post-ChatGPT era. Free from legacy constraints, we focus on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. Our mission is to operationalize AI at scale and unlock sustained enterprise value.
Our offerings span AI solutions, data services, enterprise applications, and product engineering, tailored to industry-specific needs across healthcare, life sciences, telecom, retail, financial services, and technology. By leveraging design thinking and technology-agnostic architectures, we ensure faster time-to-value and seamless interoperability.
With a proven track record of enabling Fortune 100 enterprises and global innovators, Accellor stands as a trusted partner for organizations seeking to harness the full potential of AI. Our vision is clear: to build intelligent, connected ecosystems that deliver measurable outcomes and redefine the future of enterprise transformation.
Forward Deployment Engineer — Frontier AI Deployments
Function: Forward Deployment Engineering / Applied AI Engineering / Model Deployment
Role Type: Forward Deployment Engineer / Customer-Embedded AI Engineer
Accellor is looking for a Forward Deployment Engineer to work directly with strategic customers and help deploy frontier AI models into real production environments.
This role combines hands-on software engineering, AI application development, solution design, customer collaboration, and production deployment. The engineer will understand customer problems, design practical AI solutions, build working systems, integrate with existing platforms, and drive adoption in production.
The ideal candidate is a strong builder who can operate in ambiguous environments, move quickly, write high-quality code, and turn frontier AI capabilities into measurable business impact.
Key Responsibilities:
1. Customer Discovery & Technical Scoping
Work directly with customer engineering, product, business, and domain teams to understand workflows, technical constraints, and high-value AI opportunities.
Translate ambiguous customer problems into clear technical plans, success criteria, and delivery milestones.
Identify where models can deliver measurable value in real production workflows.
2. Solution Design & Architecture
Design AI-powered systems that integrate models with customer data, tools, APIs, applications, and security controls.
Define practical architecture for model usage, retrieval, context management, tool calling, orchestration, evaluation, monitoring, and production reliability.
Balance speed, quality, safety, cost, scalability, and maintainability.
3. Hands-On Build & Integration
Build prototypes, production applications, APIs, integrations, internal tools, and workflow automation using models.
Work closely with customer engineering teams to connect AI systems into existing enterprise platforms, data sources, identity systems, and business processes.
Write reliable, maintainable code while moving quickly through evolving requirements.
4. Production Deployment & Adoption
Own the path from prototype to production, including testing, rollout planning, observability, reliability, and operational readiness.
Ensure deployed systems are secure, usable, measurable, and aligned with customer success criteria.
Drive adoption by working with users, operators, engineering teams, and leadership.
5. Evaluation, Safety & Reliability
Define evaluation methods to measure model quality, grounding, accuracy, latency, cost, safety, and workflow impact.
Build feedback loops that detect failures, improve outputs, reduce hallucinations, and maintain trust in production usage.
Ensure deployments follow security, privacy, access control, compliance, and responsible AI expectations.
6. Product & Research Feedback
Capture learnings from real customer deployments and share actionable feedback with Product, Research, Engineering, Safety, and GTM teams.
Identify repeatable deployment patterns, product gaps, and opportunities to improve models and platforms.
Help turn successful customer solutions into reusable technical patterns and deployment playbooks.
Requirements
Required Qualifications:
Preferred Qualifications:
Technical Skill Areas:
AI Applications: LLMs, RAG, agents, tool calling, prompt design, context engineering, evaluations
Software Engineering: Python, TypeScript, APIs, backend services, integrations, workflow automation
Deployment: production rollout, observability, reliability, testing, monitoring, incident readiness
Data & Systems: databases, vector search, enterprise APIs, authentication, permissions, data pipelines
Cloud & Platform: Docker, Kubernetes, CI/CD, cloud platforms, serverless, infrastructure basics
Security & Governance: access control, privacy, compliance, auditability, safe model deployment
Candidate Profile:
The ideal candidate is a hands-on engineer who can embed with customers, understand their hardest problems, build AI-powered systems quickly, and take ownership until those systems are running in production.
They should be comfortable writing code, designing systems, working with executives, partnering with engineers, handling ambiguity, and making practical trade-offs under real delivery pressure.
This role requires a builder’s mindset, strong customer empathy, product judgment, technical depth, and the ability to convert frontier AI capability into measurable production impact.
We believe that constant innovation is key to staying relevant and competitive. We exist to guide innovative companies like yours throughout the transformation journey and beyond, making your organization future-proof and future-ready.
Our work spans the breadth of your enterprise — from customers to employees and operations. We simplify and optimize internal and external processes and strengthen your business potential.
We don’t use a cookie-cutter approach. Before we offer solutions, we actively listen to your questions and concerns. We conscientiously evaluate your current environment, processes, and challenges to ensure we provide you with the right mix of solutions and services.
We are uniquely focused on delivering rapid business growth through services and technology solutions that evolve how our clients interact with their customers, employees and partners. We leverage best of breed Mobile, Machine Learning, and Cloud platforms to deliver results. Fast.
With over 200 highly motivated people in 5 countries, we bring a refreshingly honest, personal and effective approach to making things happen.
