Technical Lead - AI, Digital and Customer Experience

Description

• Shape and refine technical direction by evaluating AI-driven innovations, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and information retrieval systems, making informed decisions that blend creativity with practicality.
• Drive cross-functional collaboration with developers, designers, product owners, and stakeholders to ensure seamless execution of digital features across web platforms.
• Led PoC and pilot projects to evaluate model performance, latency, and cost, and built scalable inference pipelines with monitoring and caching.
• Maintain a hands-on approach to architecture, design, and technical leadership, ensuring the right mix of velocity, quality, and long-term sustainability.
• Promote the adoption of AI-powered development tools, MLOps / LLMOps practices, and scalable deployment architectures to improve developer productivity and accelerate innovation.
• Champion the integration of third-party vendor products, AI/ML frameworks, and custom-built solutions in a high-availability environment that supports critical business functions.
• Act as a bridge between business vision and engineering execution, translating goals into scalable, secure, and maintainable architectures.
• Lead the architecture and delivery of engaging, scalable digital experiences and software applications that directly impact customer satisfaction and loyalty.

Requirements

• Hands-on experience with solution architecture, system design, and enterprise integration patterns.
• 5+ years of experience in a technical leadership role, guiding cross-functional development teams.
• Experience working with authentication and authorization protocols such as OAuth 2.0 and SAML.
• Proficiency in HTTP APIs, Secured RESTful services, and systems integration especially on AWS.
• Deployed and scaled LLM-powered solutions (OpenAI, Hugging Face, Azure OpenAI) in production.
• Experience in setting, tracking, and delivering against OKRs (Objectives and Key Results) to ensure alignment with strategic business priorities and measurable outcomes.
• Knowledge of Retrieval-Augmented Generation (RAG) architectures and vector database integrations (e.g., Pinecone, FAISS, Milvus, Amazon OpenSearch).
• Deep expertise in modern application architecture, microservices, and cloud platforms (AWS, GCP, Azure).
• Hands-on experience deploying and scaling LLM-powered solutions (e.g., OpenAI, Hugging Face, Azure OpenAI) in production environments.
• Experience in scaling AI deployments using cloud-native services (AWS SageMaker, Azure ML, Dataiku) and applying MLOps/LLMOps practices for lifecycle management.
• Strong technical communication skills and the ability to collaborate effectively across multi-disciplinary and global teams.
• Practical experience with AI/ML technologies, with strong judgment on when to apply emerging solutions versus optimizing established systems.
• Familiarity with Snowflake, data modeling, and integration best practices.
• A demonstrated passion for creating AI-enhanced, customer-centric digital platforms.
• Exceptional communication and influence skills, with the ability to align technical strategy with business goals and engage stakeholders at all levels.
• Proven expertise in Python for AI/ML workflows, leveraging frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Proven success in delivering technology solutions using Agile methodologies in distributed environments, including coordination with offshore/onshore developers, vendors, and QA teams.
• Proven ability to lead complex technical projects and mentor engineering teams in fast-paced, dynamic environments.
• Bachelor’s degree in Computer Science, Management Information Systems, or a related field.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance