Technical Consultant

About the role

This is a hands-on solutions delivery role with a strong emphasis on technical implementation skills, responsible for ensuring the successful onboarding of customers onto the Ushur platform. The Professional Services team at Ushur acts as a bridge between customers and the sales, product, and engineering teams to support successful customer onboarding, expansion, and renewal.

Responsibilities

• Design, configure, and launch enterprise-grade automation and Agentic AI solutions on the Ushur platform for healthcare, insurance, financial services, and other regulated-industry customers.
• Own customer implementations from discovery through production go-live, including requirements definition, solution design, build/configuration, testing, UAT, deployment, and post-launch stabilization.
• Translate business processes, customer journeys, data flows, and integration requirements into scalable technical solutions that balance business value, reliability, compliance, and time-to-value.
• Apply prompt engineering, context engineering, and structured input design to improve the accuracy, reliability, and consistency of AI-powered workflows.
• Design AI-assisted solution patterns using techniques such as RAG, agentic workflow orchestration, modular pipelines, deterministic rules, APIs, and data transformations.
• Build and troubleshoot integrations with customer systems using APIs, webhooks, JSON/XML payloads, scripting, data mapping, and transformation logic.
• Develop solution documentation, including architecture diagrams, workflow designs, data flows, prompt/context strategies, integration specifications, and deployment notes.
• Define and execute testing strategies for workflow behavior, integration correctness, AI output quality, edge cases, and production readiness.
• Partner with Solution Architects, Technical Success Managers, Account Executives, Product, and Engineering to support scoping, effort estimation, implementation planning, and product feedback.
• Identify, document, and track product gaps, risks, implementation blockers, and customer escalations through Jira or equivalent systems.
• Contribute reusable templates, implementation patterns, AI solution playbooks, and best practices to improve delivery consistency across the Professional Services team.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
• 4+ years of experience in technical consulting, solution implementation, professional services, solution engineering, or enterprise SaaS delivery.
• Hands-on experience implementing customer-facing software solutions involving workflows, integrations, APIs, data transformation, and production deployments.
• Strong working knowledge of REST APIs, JSON/XML, webhooks, authentication patterns, scripting, and debugging tools such as Postman.
• Experience with JavaScript, Python, or another scripting/programming language used for automation, data transformation, or integration logic.
• Practical understanding of AI/LLM-based systems and the ability to design pragmatic AI-enabled solutions using prompt/context engineering, structured inputs/outputs, workflow automation, deterministic rules, integrations, and traditional software engineering approaches.
• Strong analytical and troubleshooting skills, with the ability to evaluate trade-offs across accuracy, latency, cost, scalability, compliance, and maintainability.
• Experience delivering customer-facing implementations using Agile, hybrid, or iterative delivery methodologies.
• Strong verbal, written, and presentation skills, with the ability to explain technical concepts clearly to business, IT, and executive stakeholders.
• Customer-first mindset with demonstrated ability to align technical solutions to measurable business outcomes.
• Ability to operate effectively in a fast-paced startup environment with ambiguity, changing priorities, and a strong bias toward execution.
• Strong collaboration skills across Product, Engineering, Sales, Customer Success, and Professional Services.

Preferred Qualifications

• Experience with no-code/low-code platforms, conversational AI, intelligent automation, CX automation, or AI-agent platforms.
• Experience in regulated industries such as healthcare, insurance, financial services, or benefits administration.
• Familiarity with AWS or equivalent cloud platforms.
• Experience designing evaluation frameworks for AI outputs, including test cases, human review loops, confidence thresholds, or quality metrics.
• Experience with enterprise systems such as Salesforce, contact center platforms, CDPs, CRMs, or claims/member/customer data platforms.