Customer Solutions Engineer (C#, Angular, Automation, AI)

Post‑Sale Consulting • Implementation • Workflow Automation • AI‑Enabled Solutions

About the Role

We’re looking for a Customer Solutions Engineer who thrives at the intersection of consulting, customer engagement, and hands‑on technical execution. This is a post‑sale, customer‑facing role where you’ll embed with enterprise clients to understand their goals, design solutions, implement integrations, and guide them toward successful adoption of the Adlib platform.

Lead customer discovery sessions to understand business goals, workflows, and success criteria
Translate customer needs into solution designs, implementation plans, and workflow patterns
Configure APIs and integrations to connect Adlib Transform with enterprise systems
Build or extend n8n workflows to automate document processing and orchestration
Develop targeted C# or Angular components that support customer‑specific use cases
Design and validate LLM‑powered RAG workflows and AI‑enabled automations
Guide customers through testing, validation, training, and go‑live readiness
Partner with Product and Engineering to share field insights and influence roadmap decisions
Document solution architectures, configurations, and reusable patterns

Customer‑Facing Consulting & Implementation

Drive customer onboarding, activation, and solution delivery
Facilitate workshops, deep dives, and technical walkthroughs
Translate business processes into technical workflows and automation logic
Configure, customize, and integrate solutions using APIs, automation tools, and content workflows
Validate outcomes, ensure production readiness, and support operational transition
Produce high‑quality documentation, handoff materials, and knowledge transfer assets
Build and maintain C# and Angular components aligned with customer requirements
Troubleshoot issues across front‑end, backend, automation, and AI pipelines
Implement LLM‑enabled workflows, RAG pipelines, and agent‑assisted systems
Contribute reusable components and patterns to improve scalability and delivery efficiency
Work with Support, Customer Experience, Product, and Engineering to resolve issues
Provide field‑driven insights to influence product improvements
Share best practices and solution patterns across internal teams
Time‑to‑Value: Speed from kickoff to first realized customer outcomes
Implementation Success: On‑time, in‑scope delivery aligned with expectations
Adoption & Satisfaction: Customer engagement, usage, and positive feedback
Deployment Quality: Stability, correctness, and maintainability of delivered solutions
Reusable Assets: Contribution of patterns, components, and documentation

Technical Skills

3–7 years of professional software development experience
Strong knowledge of C#, .NET, Angular, SQL
Experience with REST APIs, enterprise integrations, and workflow automation
Practical understanding of LLMs, RAG architectures, and AI agentic concepts
Prior experience in consulting, implementation, or post‑sale technical roles
Ability to uncover business challenges and translate them into solution designs
Strong communication skills with both technical and business stakeholders
Experience managing delivery workstreams, timelines, and expectations
Experience with n8n, Workato, Camunda, Airflow, or similar automation platforms
Hands‑on implementation of LLM‑based workflows or RAG pipelines
Familiarity with enterprise content management and document‑centric workflows

Education

Bachelor's degree in Computer Science, Software Engineering, or related field
Equivalent practical experience considered