Senior Cloud & AI Solution Engineer

Software Engineering, AI Engineering

LARION is a global software outsourcing partner with nearly two decades of experience delivering high-quality software development services to clients worldwide. We help businesses accelerate digital transformation through dedicated development teams, custom software development, AI solutions, and technology consulting.

I. What You’ll Do

• The Cloud & AI Solution Engineer is the hands-on builder of the Solution Consulting Department. The role is deep in cloud, platform and DevSecOps engineering and back-end engineering, and turns the Solution Architect’s designs into working software: secure, scalable platforms and the AI-powered solutions that run and demonstrate on them.
• The role is build-led. It produces reusable, demo-ready assets (prototypes and reference solutions) and supports presales demos, PoCs and internal enablement with stable, repeatable platforms. It does not lead customer-facing presales or hold solution authority. Those stay with the Solution Architect, the Solution Consultant and S&M.

1. Cloud, Platform & DevSecOps

• Build, deploy, and operate cloud-native platforms and AI infrastructure across on-premises, cloud, and hybrid environments (AWS and Azure).
• Containerize and automate with Docker, Kubernetes, CI/CD and Infrastructure as Code.
• Ensure observability, reliability, security and cost control; apply DevSecOps (secrets, IAM/RBAC, scanning, auditability)

2. Back-end Engineering & Integration

• Build back-end services and integrations: APIs, microservices and event-driven design.
• Package solutions into reusable blueprints, reference architectures and demo-ready assets

3. Data Engineering

• Build data pipelines and stores, including vector and graph databases for RAG / GraphRAG and semantic search.
• Enforce data isolation and access control for AI workloads.

4. AI Solution Engineering

• Build AI-powered solutions as API-first services: RAG / GraphRAG, agentic workflows (tool calling, memory), MCP and multi-modal.
• Integrate and serve LLMs with attention to security, observability and cost.

5. Enablement & Standards

• Produce technical implementation documentation, deployment guides, operational runbooks, and handover documentation based on the approved solution architecture to ensure maintainability, knowledge transfer, and operational continuity
• Support presales demos, PoCs and internal enablement through stable, repeatable platforms.
• Uphold engineering standards and mentor engineers.

II. Job Qualifications

1. Must-have

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent hands-on experience at Senior/Architect level.
• At least 5 to 7 years’ professional experience, at senior to architect level, in cloud, platform / DevSecOps and back-end engineering.
• Strong expertise in Cloud, Platform & DevSecOps, and Back-end Engineering, with solid working knowledge of Data and AI Engineering.
• Experience with operating systems across on-premises and public cloud environments;
• Hands-on experience with AWS and Azure, including compute, networking, identity & access management, managed services, and cloud cost optimization.
• Strong experience building and operating cloud platforms using Docker, Kubernetes, Helm, Terraform, CI/CD, GitHub Actions, ArgoCD, Prometheus, Grafana, Vault, IAM/RBAC, and Trivy.
• Strong back-end development experience with Python (preferably FastAPI), REST/gRPC APIs, microservices, event-driven architecture, PostgreSQL, Redis, and Kafka.
• Hands-on experience with Data Engineering technologies such as Airflow, Spark, Snowflake, BigQuery, pgvector, Pinecone, or Neo4j.
• Experience using Git and AI-assisted development tools (e.g., GitHub Copilot, Claude Code) as part of modern software engineering practices.
• Ability to produce clear technical documentation (architecture, runbooks, handover documents) and communicate effectively in English.

2. Nice-to-have

• AWS, Azure, or Kubernetes certifications (e.g., CKA).
• Experience with GCP and hybrid/multi-cloud environments.
• Experience building or integrating AI/LLM-powered applications using Azure OpenAI, Anthropic Claude, Hugging Face, LangChain, LlamaIndex, RAG/GraphRAG, MCP, agentic workflows, or vLLM.
• Familiarity with AI observability and AI security practices, including data isolation and access control.
• Experience with Specification-Driven Development (SDD) frameworks such as BMAD Method or GitHub Spec Kit.
• Experience contributing to or adopting open-source technologies and communities.
• Experience mentoring engineers or establishing engineering standards and best practices.

III. Why You’ll Love Working Here

1. Workplace

• Work with international clients across diverse industries while contributing to cutting-edge software and AI transformation projects.
• Expand your expertise in B2B technology marketing, demand generation, AI-powered marketing, and global business development.
• Join an organization embracing AI Transformation and continuous innovation to create meaningful business impact.

2. Benefits Comprise

• Competitive compensation: 13th-month salary and performance bonuses.
• Comprehensive healthcare coverage, including accident insurance.
• Generous allowances: lunch, marriage, newborn, bereavement, and more.
• Fully equipped pantry for a comfortable lunchtime experience.
• Diverse sports and social activities: Yoga, football, badminton, tech clubs, charity,
• etc.
• Annual company trip and team-building events.
• Recognition awards: Quarterly, annual, individual, team, and long-term service
• honors.
• Advanced English and soft skills training for career growth.
• Engaging monthly events: Happy gatherings, mini-games, team birthday
• celebrations, year-end party, and more.
• Exclusive company support funds for personal loans (home, vehicle, tuition, etc.).
• Full provision of working equipment and tools required for your role.

IV. Additional Information

• Location: QTSC1 Building, Quang Trung Software City, Trung My Tay Ward, (District 12), Ho Chi Minh City
• Working Hours: Monday to Friday: 08:30 AM – 06:00 PM (with a 1.5-hour lunch break).