Technical Consultant

Ushur; California (MO); On-site; USD 90,000 - 120,000; Full time

Job summary

Ushur is seeking a Technical Consultant in California, United States to focus on customer onboarding and solutions delivery. You will design and deploy automation solutions using state-of-the-art technology for various industries.

The ideal candidate has a Bachelor's degree and over 4 years of experience in technical consulting or SaaS delivery. Responsibilities include managing customer implementations and translating business processes into technical solutions.

Qualifications

• 4+ years of experience in technical consulting or enterprise SaaS delivery.
• Hands-on experience with customer-facing software solutions.
• Strong working knowledge of REST APIs and scripting.

Responsibilities

• Design and launch automation solutions on the Ushur platform.
• Own customer implementations from discovery to production go-live.
• Translate business processes and data flows into scalable technical solutions.

Skills

Technical consulting

API integration

Workflow automation

Data transformation

AI design

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems

Tools

REST APIs

Postman

Job description

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.

As an Ushur Technical Consultant, you will be responsible for supporting implementations and helping customers maximize the value of the Ushur platform. This includes scoping, designing, and deploying end‑user and customer automation journeys using state‑of‑the‑art artificial intelligence and data science–based solutions.

A Technical Consultant sits at the core of the Solutions Delivery team, leading discovery sessions with customer champions, capturing technical requirements, and formalizing solutions that align with defined success criteria to ensure successful, on‑time delivery.

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.
• 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.
• Familiarity with concepts such as RAG, AI agents, tool/function calling, modular AI pipelines, evaluation strategies, guardrails, and output quality measurement.
• 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.