Hiring: W2 Candidates Only

Visa: Open to any visa type with valid work authorization in the USA

Level: Mid to Lead positions

Qualifications

Bachelor's degree in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field.

Experience in leading, designing, implementing, and managing large-scale AI and machine learning solutions, including production-grade Generative-AI applications preferably, in a large multi-function financial services organization.

Strong technical skills in AI technologies, including experience with Azure and OpenAI familiarity with building and operationalizing AI platforms equipped with Model Garden and Control Plane, and Agentic AI.

Experience in executing on strategic AI initiatives and aligning foundational AI capabilities with the organization's overall strategic goals and transformation objectives.

Experience with delivering AI solutions that accelerate productivity.

Extensive experience with system architecture in a service-oriented and enterprise service business environment, focusing on designing and implementing scalable, reliable, and efficient systems.

Extensive experience in building a Knowledge Base for AI, cloud migration and engineering cloud centric environments.

Experience supporting AI Operations, observability and incident management.

Extensive experience with Agile practices including Scrum, Azure DevOps, Git and CI/CD.

Expert knowledge of project lifecycles and management methodologies.

Expert knowledge of engineering principles, practices, and theories, and methods to identify and solve the highest complex problems and perform sophisticated analyses.

Expert knowledge and understanding of the end-to-end IT process, including architecture, design & engineering, implementation, and operations, ensuring seamless integration and optimal delivery across all stages.

Experience in financial planning and analysis, encompassing comprehensive cost allocation, continuous budget oversight, and strategic scenario modeling.

Proven expertise in managing vendor relationships for Statement of Work (SOW) execution, developing risk mitigation strategies, and maintaining effective communication channels to ensure successful project outcomes.

Expert ability to communicate effectively about AI with a broad range of audiences, from sophisticated technical resources to those with little or no technical background.

Expert problem solving, collaboration, critical thinking, team building, and presentation skills.

Expert skill in applying innovative approaches to solving technical design issues.

Expert verbal, interpersonal and written communication skills.

Solid experience with Python and SQL required.

Desired

Master's in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field.

Experience in advanced AI/ML technologies.

Experience building and supporting Enterprise grade APIs.

Expert knowledge of banking/financial industry trends, products, and services.

Experience working in an AI Center for Enablement.

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Generative AI Engineer