About the job
We are seeking a dynamic and experienced technical presales professional to join our Americas solution consulting organization. You will join a team of expert ‘builders’, passionate about the rapidly evolving technology landscape and how it can help solve customer business challenges. You’ll be responsible for bringing cutting-edge Agentic AI use cases to life through rapid proof of concepts and strategic customer engagements. This is a hands-on role that requires both technical depth and consultative expertise.
Responsibilities
Conduct discovery sessions to understand customer environment, business challenges, and constraints
Design and build proof-of-concept solutions that showcase the power of the platform bringing AI + Data + Workflow to life.
Lead workshops and demonstrations for C-level executives and business stakeholders
Iterate quickly based on evolving capabilities and customer feedback
Create re-usable components and accelerators for future engagements and contribute to the development of best practices
Work cross-functionally with product, engineering, customer excellence group, and global SC teams to deliver exceptional customer outcomes
Qualifications
Minimum
5+ years in technical consulting, solution engineering, or customer facing technical roles
Experience in leveraging or critically thinking about how to integrate AI into the work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI data-driven insights, or exploring AI’s potential impact in the function or industry.
Strong technical background in data engineering with hands-on experience with data ingestion tools, ETL processes, data modeling, storage solutions, and analytics platforms.
Ability to architect and implement complex systems under tight deadlines.
Deep familiarity with integration technologies, including REST APIs, SOAP, JSON, JDBC, streaming data platforms, and middleware technologies
Working knowledge of software development practices and proficiency in programming languages and technologies such as JavaScript, Angular JS, React JS, HTML5, CSS, SQL, Python, or equivalent.
Preferred
Exposure to additional technologies such as Robotic Process Automation (RPA), Generative AI, Optical Character Recognition (OCR), Process Mining, and Continuous Integration/Continuous Deployment (CICD) practices is a plus.