Design, develop, and oversee end-to-end implementation of the new GM GenAI platform and its related business use cases.
Develop architectural approaches for AI software and hardware integration with emphasis on quality, performance, resiliency, and reusability.
Collaborate with business and IT stakeholders to understand and fulfill business needs objectives.
Lead cross-disciplinary teams to deliver technical solutions that align with business priorities and expectations.
Identify, prioritize and execute tasks in the software development life cycle.
Establish standards and lead the charge on automation for end-to-end SDLC efficiency.
Mentor team members in technical design and development best practices
Drive platform performance, scalability resiliency testing
Implement hardware upgrade software enhancement to meet global performance expectations.
Address regulatory performance driven requirements for regional/localization of infrastructure platform.
Conduct research prototyping to evaluate and identify new solutions to enhance platform and team capabilities.
Monitor AI industry trends and stay abreast of advancements in AI, machine learning, and data science to continuously innovate and improve solutions.
Experience Required
Extensive experience in designing implementing multi-tier (including microservices) application platforms.
Proven ability to plan and lead delivery by a functionally diverse and geographically dispersed team.
Possess consistent record for delivering projects on time and on budget
High coding proficiency in Python and Unix scripting
In-depth knowledge of relational databases (e.g., Oracle, MySQL) and NoSQL databases (e.g., MongoDB), and large structured unstructured dataset processing
Knowledge in full range of front-end languages, libraries frameworks (e.g., HTML/ CSS, JavaScript, XML, React, jQuery)
Strong communication skills to effectively collaborate with various stakeholders.
Critical thinking and problem-solving skills are essential.
Experience Desire
Experience implementing data analytics / AI solutions.
Knowledge of machine learning frameworks like TensorFlow or PyTorch, LLM fine-tuning, Retrieval Augmented Generation (RAG) and tools for agentic solutions.
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
