• Architect end-to-end AI/ML solutions, ensuring scalability, performance, and alignment with customer requirements and goals • Lead a team of machine learning engineers and data scientists to build AI/ML platforms, pipelines, and products that meet customer requirements and expectations • Communicate business value and ROI of AI/ML solutions to both technical and non-technical stakeholders • Mentor team members on best practices in AI/ML architecture, modeling, and technology. • Stay abreast of emerging technologies and methodologies in AI/ML to inform solution design and delivery. • Build relationships with client stakeholders to understand their long-term AI/ML goals and design roadmaps that align with business objectives. • Craft persuasive technical approaches and value propositions to drive client AI/ML initiatives forward • Identify and drive account expansion opportunities by uncovering unmet client needs and where AI/ML can add value. • Lead responses to RFIs and RFPs, crafting persuasive technical approaches and value propositions.

• Develop and Implement Tailored Solutions: Design, build, test, and support robust integration solutions that meet specific customer business requirements. • Cross-Functional Collaboration: Work closely with internal teams, including Professional Services, Product Development, Engineering, Support, and Customer Success, to define scope, gather requirements, and deliver high-quality integrations. • Customer Engagement: Serve in a customer-facing role, collaborating directly with clients to understand their needs and tailor integration solutions effectively. • Requirements Translation: Translate functional business requirements into detailed technical specifications and implementation plans. • Documentation and Communication: Maintain clear and concise documentation for all integration processes and tailor communication appropriately for both technical and non-technical audiences. • Troubleshooting and Support: Provide ongoing support for existing integrations, troubleshooting issues, and implementing timely resolutions. • API Management: Utilize REST and SOAP APIs effectively to facilitate data exchange between systems.

• Develop detailed and scalable architectural designs to address client needs. • Run pilot programs with customers to demonstrate feasibility and advantages of proposed Articul8-based solutions. • Work closely with clients to understand their business challenges and technical requirements. • Optimize solutions for performance, reliability, and cost-effectiveness. • Ensure that solutions comply with security best practices and regulatory requirements. • Create comprehensive documentation of the solution architecture and provide training to clients or internal teams. • Collaborate with cross-functional teams, including Applied Research, Engineering, Quality Assurance, and Customer Success. • Mentor and guide junior team members and help build a strong culture of rapid innovation

• Solution Design: Deeply understand customer business challenges, mapping them to technical solutions and crafting compelling AI prototypes on the Articul8 platform that address real business objectives. • Customer Enablement: Lead technical workshops, hackathons, and training sessions to help customers envision AI transformation and empower their teams for ongoing success. • Cross-Functional Collaboration: Work seamlessly with Sales, Product, and Engineering teams to position the platform and deliver best-fit solutions. • Platform Deployment: Oversee installation, configuration, and scaling of the Articul8 platform in customer environments, ensuring high standards of security, reliability, and performance. • Custom Engineering: Develop and implement tailored workflow solutions to meet unique customer needs and requirements. • Infrastructure Optimization: Architect and tune Kubernetes-based environments on AWS, Azure, GCP, and on-premises for infrastructure excellence. • Ongoing Training: Deliver enablement workshops and documentation to support long-term customer autonomy and expansion. • Continuous Improvement: Monitor and refine deployments for cost-effectiveness, performance scalability, and resilience. • Customer Advocacy: Gather feedback and relay it to Product and Engineering, influencing roadmap and product enhancements based on actual customer needs.