Computational Solutions Architect

A leading technology innovator is seeking a Computational Solutions Architect to design and deliver advanced real-time optimization systems for industrial operations. This organization is at the cutting edge of physics-informed AI, digital twins, and predictive modeling, driving transformation across energy and other industrial sectors.The role offers a collaborative environment where technical expertise and creative problem-solving are highly valued. You’ll work closely with clients and internal teams to turn complex engineering challenges into scalable AI-driven workflows that deliver measurable business impact.Key ResponsibilitiesSolution Design & Delivery: Lead technical design for client projects, translating engineering challenges into computational workflows that integrate physics-based models and machine learning.Workflow Development: Collaborate with ML engineers to define data flows, integration requirements, and ensure robust, scalable solutions.Proof-of-Value Projects: Develop pilots and PoV initiatives to validate technical feasibility and demonstrate business value.Deployment & Scale-Up: Support transition from prototype to production environments, ensuring long-term adoption.Best Practices: Create reference architectures, reusable templates, and documentation for future implementations.Client Engagement: Act as a trusted advisor, building strong relationships with technical stakeholders and decision-makers.Core QualificationsAdvanced degree (MS or PhD) in Engineering, Applied Physics, or Computational Science.5+ years of experience designing or deploying computational or data-driven systems in industrial or energy sectors.Strong foundation in physics-based simulation and numerical methods (e.g., process simulation, CFD, dynamic systems).Familiarity with real-time optimization, digital twins, and decision support systems.Proven client-facing experience in technical consulting, solution delivery, or pre-sales engineering.Excellent communication and collaboration skills; ability to thrive in fast-paced environments.Preferred ExperienceBackground in the energy industry, particularly oil and gas.Exposure to startup or early-stage technology environments.