AI Engineer

Job Summary

With a global network serving clients across multiple industries and countries, our analytics game changers are poised for widespread technological impact. Our industry‑recognized team is in high demand across data analytics, robotic process automation, and artificial intelligence. We gravitate towards bright individuals who value impactful change, worldly purpose, and a personal connection with diverse innovators. This role allows you to work with a team of talented consultants, requiring you to balance innovation with pragmatic client expectation management.

With our team, you will be challenged to build scalable solutions, while embracing a fail‑forward mentality critical to evolution. Whether you’re telling a data story in ways our clients never imagined or building advanced AI models with automated data engineering, the core purpose will be centered on using data to impact people in a meaningful way.

This position works with cutting edge technology, delivers high‑quality solutions across various industries and collaborates with teams on engagements that range in size and scope. The role performs hands‑on delivery of solutions that include artificial intelligence (AI) and cognitive services, machine learning models, pipelines, databases, and other data analytics components, contributing to development and unit testing of solutions.

• Designs and implements best‑in‑class solutions that include AI and cognitive services, machine learning models, data ingestion strategies, semantic layers and models, visualizations, streaming processes, API integrations, and automation (RPA) solutions for end‑to‑end data analytics on cloud platforms such as Azure and AWS.
• Leverages multiple large language models (LLM) to enhance natural language processing capabilities and develop advanced AI applications.
• Designs and implements solutions incorporating retrieval‑augmented generation (RAG) architectures and multimodal embeddings to enhance AI‑driven insights by combining text, images, and structured data sources.
• Listens to client needs to align solutions with business requirements and delivery schedules.
• Creates written functional and technical designs.
• Participates in project status and stand‑up meetings, and assists with providing aggregated status for project and program managers.
• Assists with SLA compliance of solutions, and performs performance tuning and optimization efforts of end‑to‑end solutions.
• Writes code using multiple languages and correctly applies frameworks, architectural patterns, and software development principles.
• Delivers high‑performance, scalable, repeatable, and secure deliverables with broad impact (high throughput and low latency).
• Assists with implementation of governance programs and best practices.
• Performs the cleaning and transforming of data from source systems into analytics models.
• Implements models to support data visualizations and integrations.
• Assists with implementing MLOps, Dev Ops, Data Ops methodologies on projects.
• Writes custom integration logic in applicable programming languages.
• Assists project managers with work breakdown structure creation, project estimation, resource staffing, and workload planning throughout the project lifecycle.
• Assists clients with licensing, security, and cost estimation of solutions.
• Performs code reviews to ensure adherence to standards.
• Works directly with clients and team members to establish secure data analytics platforms and infrastructure.
• Contributes to successful deployments of developed solutions and integration of Dev Ops and MLOps tools.
• Maintains a broad and current understanding of data analytics and business intelligence strategies, cloud platforms, methodologies, and tools.
• Builds client relationships during project execution, effectively becoming a trusted advisor of the client.
• Participates in support activities for existing software solutions.
• Other duties as assigned.

• Supervises the day‑to‑day workload of associates on assigned engagements to ensure timelines and deliverables are met, and reviews work product.

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