Forward Deployed Engineer/Solution Architect
Nurix
IT
Posted on Aug 30, 2025
About Us
Nurix.ai is at the forefront of AI innovation, developing cutting-edge AI and LLM solutions to enhance productivity and automation. We envision a world powered by super-intelligent AI agents that transform how businesses engage with customers. Our cutting-edge AI agents do more than just solve problems, they create opportunities.
About the Role
We are seeking a Forward Deployed Engineer / Solution Architect to work closely with enterprise customers and help them successfully adopt and scale conversational AI solutions. This role is highly customer-facing, combining technical expertise, solution design, client engagement and leadership with a strong focus on driving measurable business impact.
You will serve as the bridge between our AI product/platform teams and enterprise clients—ensuring successful integrations, managing complex delivery programs, and enabling customers to maximize the value of conversational AI across their organizations.
Location: Canada or USA
Key Responsibilities
Customer Engagement & Solution Design
Partner with enterprise customers to understand business goals, technical requirements, and operational constraints.
Translate customer needs into end-to-end conversational AI architectures, including integrations with CRMs, contact centers, and enterprise data systems.
Act as a trusted advisor to C-level executives, IT leaders, and product teams.
Implementation & Deployment
Lead the technical implementation of conversational AI solutions, including chat agents, voice agents, multimodal AI agents, and workflow automations.
Build proof-of-concepts, pilots, and production deployments in collaboration with customer engineering teams.
Ensure solutions meet enterprise standards for scalability, reliability, compliance, and security.
Program Management & Delivery Leadership
Own delivery programs for enterprise customers, from discovery through rollout and scale-up.
Define and manage project plans, milestones, risks, and dependencies across both internal and customer teams.
Establish governance frameworks and run regular steering committees with stakeholders.
Ensure clear communication and alignment between executive sponsors, customer engineering teams, and internal product teams.
Track success metrics (time-to-value, customer adoption, ROI) and ensure projects are delivered on time and within scope.
Technical Leadership & Enablement
Provide hands-on support for APIs, SDKs, integrations, and orchestration frameworks.
Develop reusable solution templates and best practices for rapid customer deployment.
Train customer teams and partners to be self-sufficient in managing conversational AI solutions.
Collaboration & Feedback Loop
Work closely with product and engineering teams to provide customer feedback and influence roadmap priorities.
Document implementation patterns, success stories, and technical playbooks to scale adoption.
Collaborate with sales and customer success teams to drive account growth and long-term value realization.
Qualifications
Must-Have Skills
- Over 5 years of experience in solution architecture, software engineering, or platform integration.
- Experience deploying enterprise-scale AI/ML, SaaS, or conversational AI systems.
- Proficiency with cloud platforms (AWS, GCP, Azure) and modern API-driven architectures.
- Familiarity with enterprise integration patterns (REST, GraphQL, event-driven, middleware, SSO, data lakes, etc.).
- Excellent communication and stakeholder management skills—comfortable presenting to both engineers and executives.
- Proven program management experience, with ability to manage complex enterprise deployments, align cross-functional stakeholders, and deliver against timelines.