Forward Deployed AI Engineer
First seen by Alion on Oct 30, 2026.
We're looking for an experienced Senior Forward Deployed AI Engineer to lead the design, implementation, and deployment of AI solutions for enterprise customers.
You'll work closely with customers, technology partners, and internal engineering teams to translate complex business and technical requirements into production-ready AI solutions — from discovery and Proof of Concepts (PoC) to integration, deployment, and adoption.
This role suits someone who thrives at the intersection of software engineering, AI, solution architecture, and customer engagement, and enjoys taking ownership of real-world outcomes rather than only building prototypes.
Key Responsibilities
Engage directly with customers to understand business challenges, technical requirements, existing systems, security constraints, and success criteria
Design end-to-end AI solution architectures spanning Generative AI, AI Agents, Retrieval-Augmented Generation (RAG), enterprise applications, APIs, data platforms, and cloud or hybrid environments
Build and deliver Proof of Concepts (PoC), prototypes, and production-ready AI applications to validate business and technical value
Integrate AI solutions with enterprise systems such as GitHub/GitLab, CI/CD pipelines, databases, internal applications, identity providers, APIs, and cloud services
Lead technical deployment activities from discovery through pilot, integration, production rollout, and user adoption
Design solutions with production requirements in mind, including security, scalability, reliability, monitoring, observability, performance, and cost management
Work closely with customer IT, development, security, and business teams to identify technical blockers and drive projects to successful completion
Collaborate with technology partners and internal product/engineering teams to build reusable solution components and delivery best practices
Lead technical workshops, architecture discussions, demonstrations, and solution presentations for customers and stakeholders
Support enterprise AI adoption initiatives, including developer productivity, AI-assisted software development, workflow automation, and internal AI applications
Mentor junior engineers and contribute to engineering standards, reference architectures, and reusable deployment patterns
Qualifications
QualificationsBachelor's degree or above in Computer Science, Computer Engineering, Information Technology, or a related field
At least 4–7 years of experience in Software Engineering, AI Engineering, Solution Engineering, Technical Consulting, or Solution Architecture
Strong software engineering skills in Python, TypeScript/JavaScript, Java, Go, or similar programming languages
Strong understanding of backend development, REST APIs, databases, authentication/authorization, Git, and system integration
Hands-on experience with Generative AI technologies such as LLM APIs, RAG, embeddings, vector search, tool/function calling, AI Agents, or AI workflow orchestration
Experience with Linux, Docker, CI/CD, cloud platforms, networking, and production deployment
Good understanding of enterprise security concepts including authentication, RBAC, secrets management, API security, data privacy, and audit logging
Ability to translate ambiguous customer requirements into clear technical architectures and implementation plans
Strong problem-solving skills with the ability to troubleshoot issues across software, infrastructure, networking, and integration layers
Strong customer-facing, presentation, and stakeholder management skills
Good communication skills in both Thai and English
Experience with enterprise developer tools, GitHub/GitLab, DevSecOps, Application Security, or AI coding tools is a strong plus
Experience working with enterprise customers in manufacturing, banking, or other regulated industries is a strong plus
A proactive, ownership-driven mindset with the ability to handle multiple projects in fast-changing environments.