• Lead the design and implementation of data and AI/ML architecture solutions across cloud and on-premise platforms. • Lead complex customer engagements, providing strategic technical vision and aligning solutions with customer business goals. • Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor. • Lead technical workshops, training sessions, and presentations. • Define and execute data lifecycle processes: ingestion, storage, processing, and visualization. • Collaborate with business units and stakeholders to align solutions with business goals. • Ensure solutions adhere to security, compliance, and architecture frameworks (e.g., AWS Well-Architected, GCP Architecture Framework). • Lead cross-functional teams, providing mentorship and guidance to technical talent. • Design and execute proofs of concept for emerging technologies like Generative AI, Machine Learning. • Drive backend/ML services best practices for scalable and maintainable solutions. • Oversee data governance and data quality processes across platforms. • Stay updated with the latest technology trends and continuously improve the architecture strategy.

• Act as the owner of the product roadmap and ensure the "why" behind every feature is clearly translated into technical requirements. • Masterfully structure engineering proposals, write high-quality technical tickets, and define clear acceptance criteria for developers and data scientists. • Lead daily progress meetings, run scrums, and manage sprints with precision to ensure engineering teams remain focused and bottlenecks are cleared immediately. • Directly oversee the integration of our products, ensuring they are implemented to automate complex tasks and improve manufacturing knowledge retrieval.

• Lead the hands-on technical implementation and deployment of Viaduct’s software solutions within large-scale enterprise environments. • Make critical data integration decisions and build robust connectors across a variety of data types and systems (SQL, NoSQL, APIs, etc.). • Create and support batch, incremental, and real-time data pipelines to ensure high-quality data ingestion from client systems. • Set up and deploy LLM and agentic systems in practice. You will be responsible for prompt engineering, performance testing, and iterating on agent behavior to ensure reliability and accuracy. • Establish and automate validation and cleaning processes to ensure data quality across various client integrations. • Work directly with customers across a variety of contexts to troubleshoot technical hurdles and ensure successful solution adoption.

• Partner with Account Executives to discover and scope customer challenges, designing high-value technical solutions that showcase the ROI of Netomi’s platform. • Architect and build agentic workflows that integrate generative AI with APIs, databases, and enterprise tools to power experiences for our customer’s end users. • Develop custom demonstrations, prototypes, and proofs of concept using the Netomi platform tailored to specific clients use cases. • Design, test, and refine prompts and AI orchestration chains to optimize performance, reasoning, and reliability across varied use cases. • Communicate complex technical concepts clearly and persuasively to audiences ranging from C-level executives to hands-on engineers. • Collaborate with product and engineering teams, contributing insights from customer engagements to inform roadmap priorities. • Document and present solution designs, workflows, and technical configurations for both internal and client-facing reference.