Solution Engineer – AI

This is a fully remote position, open to applicants in India.

📋 Description

• Lead discovery sessions with both business and technical stakeholders.

• Identify and prioritize opportunities for automation.

• Evaluate the readiness of data, systems, and security protocols.

• Create demos and proofs of concept while supporting solution scoping.

• Design, build, and maintain AI-driven workflows and integrations across ERP, CRM, e-commerce, and Microsoft 365.

• Facilitate document processing for invoices, purchase orders, shipping documents, and contracts.

• Develop secure knowledge assistants that are based on client content.

• Implement human review processes, audit trails, and security measures.

• Transform recurring client requirements into packaged services, reusable accelerators, discovery and assessment methods, reference architectures, repeatable implementation plans, and clearly defined deliverables/outcomes.

• Monitor production solutions for accuracy, usage, and cost efficiency.

• Optimize and enhance solutions while identifying new opportunities with clients.

• Collaborate across teams to shape delivery processes and productize successful solutions.

⛳️ Requirements

• Over 5 years of experience in solution engineering, technical consulting, software, or data engineering.

• More than 2 years of experience in building GenAI/automation solutions for production environments.

• Practical experience with large language models such as OpenAI, Anthropic Claude, Azure OpenAI, or similar technologies.

• Familiarity with prompt design, retrieval-augmented generation (RAG), and agent frameworks.

• Experience deploying and managing agent harnesses like Hermes Agent, OpenClaw, Claude Code or equivalent, including tools, skills, memory, business-system integrations, and secure production operations.

• Strong integration capabilities with APIs, Python or TypeScript, and business systems such as ERP, CRM, and Microsoft 365.

• Proven track record of converting one-off project work into repeatable services, accelerators, or delivery methodologies.

• Knowledge of AI security/privacy regulations, including PIPEDA and Québec’s Law 25.

• Excellent communication skills with the ability to convey technical concepts to both technical and non-technical executive audiences.

• Comfortable working independently while managing end-to-end delivery.

• Experience with Microsoft Copilot Studio, Azure AI Foundry, Power Automate, AWS Bedrock or n8n is a plus.

• Familiarity with Document AI is a bonus.

• Experience in building service offerings in consulting or managed-services settings is advantageous.

• Azure AI Engineer or AWS Machine Learning certifications are desirable.

🏝️ Benefits

• Diverse client work spanning various industries.

• Significant influence over the design and delivery of our offerings.

• Access to specialists in strategy, data, digital, and security.

• Equal opportunity employer.

• Accommodations available upon request throughout the hiring process.