Technical Delivery Architect

SymphonyAI is a global leader in AI-powered solutions that transform industries and drive business growth through cutting-edge artificial intelligence and machine learning technologies.

We empower organizations across retail, CPG, financial services, manufacturing, media, Enterprise IT, and the public sector to harness data-driven insights.

Our applications deliver transformative business value by combining unrivaled AI technology, vertical expertise, and industry-specific data.

SymphonyAI is one of the largest and fastest-growing AI portfolios committed to building a "World Class Engineering Team" with a high-performance culture.

We are seeking a Technical Delivery Architect to act as the primary technical liaison between Engineering, Professional Services, and Customer Delivery teams.

Serving as the first point of escalation from Engineering, this role is responsible for ensuring successful deployment, adoption, and support of Industrial AI solutions for enterprise customers.

The ideal candidate brings 10-15 years of experience spanning software engineering, solution architecture, technical support, and customer-facing delivery.

This individual will combine strong technical depth with exceptional stakeholder management skills to drive customer success, resolve complex technical challenges, and bridge the gap between product, engineering, and services teams.

• Serve as the primary technical point of contact for Professional Services and Delivery teams throughout the customer lifecycle.
• Lead technical discussions with customers, implementation partners, and key stakeholders.
• Guide customers on solution architecture, deployment best practices, integrations, and platform adoption.

• Act as the first line of engineering support for delivery-related technical escalations.
• Work closely with Engineering, Product, and Support teams to troubleshoot and resolve complex customer issues.
• Drive effective communication and alignment between customer-facing teams and product engineering.

• Design scalable, secure, and maintainable solution architectures aligned with customer requirements.
• Review deployment strategies, integrations, and technical implementations to ensure successful outcomes.
• Support enterprise integrations across cloud platforms, APIs, operational systems, and industrial data environments.

• Partner with Product, Engineering, Services, Support, and Customer Success teams to deliver exceptional customer outcomes.
• Contribute to implementation frameworks, architectural standards, and technical best practices.
• Mentor delivery teams and promote technical excellence across engagements.

• Identify recurring customer challenges and drive long-term product and process improvements.
• Develop reusable architecture patterns, delivery playbooks, and implementation accelerators.

Provide customer feedback to influence product roadmap and engineering priorities.

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
• 10-15 years of experience in software engineering, solution architecture, professional services, technical consulting, or enterprise software delivery.
• Proven track record of managing customer-facing technical engagements and large-scale implementations.

• Strong background in enterprise software architecture, cloud platforms, APIs, integrations, and distributed systems.
• Experience troubleshooting complex production issues and leading critical technical escalations.
• Familiarity with modern software development practices, DevOps, and SaaS deployments.

• Experience working closely with Professional Services, Delivery, Support, or Customer Success organizations.
• Ability to translate business requirements into scalable technical solutions.
• Strong consultative approach with a focus on customer outcomes and operational excellence.

• Excellent communication, presentation, and stakeholder management skills.
• Ability to influence and collaborate across Engineering, Product, Services, and executive leadership teams.

• Experience with Industrial AI, Manufacturing, Industrial IoT, Asset Performance Management, or related enterprise platforms.
• Exposure to operational technology (OT), industrial data systems, or analytics-driven applications.
• Experience supporting global enterprise customers in complex deployment environments.

Diversity & Inclusion Statement: We are committed to building a diverse and inclusive team and encourage candidates from all backgrounds to apply.