TR
TruistHead of AI Enablement
Senior technology leader responsible for AI and GenAI solutions across Wholesale Technology for Truist. Collaborating with business executives and engineering teams to drive measurable value through AI applications.
About the role
- Independently design and develop scalable AI/ML solutions using advanced design patterns, models and algorithms to analyse complex datasets and generate actionable insights
- Collaborate with stakeholders to translate business needs into AI/ML solutions, evaluate user journeys and challenge business requirements to ensure seamless, value driven delivery and integration of solutions
- Apply innovative problem-solving techniques, leveraging advanced methodologies to find unique approaches to complex problems and improve outcomes
- Investigate and resolve complex challenges in data pipelines, modelling, and deployment to ensure reliable solutions that meet performance benchmarks
- Mentor team members through code reviews, model validations, pairing sessions, and knowledge-sharing sessions, and contribute to Communities of Practice
- Effectively communicate modelling, infrastructure, and deployment choices to both technical and non-technical stakeholders
- Maintain detailed, impactful documentation, covering methodologies, data pipelines, model performance, and key design decisions to enable reproducibility and scalability
- Ensure readiness for production releases, focusing on testing, monitoring, observability, and maintaining scalability and reusability of models for future projects
- Drive cross-team and cross-discipline initiatives to optimize workflows, remove redundant applications and processes, share best practices, and enhance collaboration between teams
Requirements
- Bachelor's degree in B.E/BTech, preferably in computer science
- 8+ years of relevant experience in the field of Data Engineering
- 5+ years of hands-on experience with Apache Spark, Python and SQL
- Experience working with large datasets and big data technologies to train and evaluate machine learning models.
- Experience with containerization: Kubernetes & Docker
- Expertise in building cloud native applications and data pipelines (Azure, Databricks, AWS, GCP)
- Communicate effectively with technical and non-technical audiences with experience in stakeholder management
- Structured, highly analytical mind-set and excellent problem-solving skills; Self-starter, highly motivated & Willing to share knowledge and work as a team.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Sales Specialist engaging restaurants to leverage AI for business growth. Connecting leads and building lasting customer relationships in a hybrid work environment.
FE
Flutter Entertainment Data Protection Analyst – Responsible AI
Data Protection & Responsible AI Analyst at Flutter creating a culture of responsible AI governance. Supporting privacy compliance and AI governance framework alignment with EU regulations.
Transformational consultant at Sicredi integrating AI with agile practices for sustainable business solutions. Engaging in innovation and project management to deliver strategic business impact.
Principal Consultant developing and implementing AI - powered testing strategies at Datacom. Elevating performance testing practices and delivering quality solutions for diverse projects.
NO
Automation and AI/ML Expert responsible for automation solutions and AI model optimization at Nokia. Collaborating with cross - functional teams for operational efficiency and software sales.
NR
National Centre for Social ResearchAI and Innovation Project Officer, 6 month FTC
Project Officer supporting NatCen’s AI transformation and innovative research practices. Involves desk research, project coordination, and guiding researchers.
VP of Data & AI Strategy leading innovative AI - driven payment product designs. Championing AI design thinking and facilitating collaboration across Mastercard's diverse product teams.
GU
GuidehouseDirector – AI and Data Capability
AI leader driving strategy and execution for Intelligent Operations in India. Leading a multi - disciplinary AI team to deliver impactful solutions and innovations.
Research and Development Intern supporting Regulatory Affairs and Automation/A.I. initiatives. Aimed at improving processes, compliance, and collaboration within the team.