Principal AI Engineer

The Senior Consultant, AI Engineer is a technology-savvy leader with practical experience delivering AI/GenAI solutions in enterprise environments. This role provides technical leadership across conversational AI, personalization, and agentic AI applications, with responsibility for establishing and governing AI design patterns and development frameworks. The position leads cross-functional teams to deliver enterprise-scale AI solutions, working closely with stakeholders to plan and organize complex AI project implementations.

This role provides strategic technical leadership during PMLC and SDLC phases, collaborating with Business Relationship Management, Project Management, and Architecture teams to review, estimate, and recommend delivery approaches. The position focuses on expanding AI platforms across multiple channels and brands, ensuring production AI agents meet standards for accuracy, safe handling of sensitive data, and compliance with regulatory requirements.

The Senior AI Consultant reports to the Director/VP of Applications Delivery & Services to deliver robust AI and machine learning solutions based on best practice AI engineering that is well aligned with the SDLC process.

• Technical Leadership & Team Management – Lead expansion of conversational AI platforms by guiding implementation of additional interaction channels and scaling adoption across multiple brands. Lead and advise project teams of AI engineers across the full AI stack (data pipelines, models, APIs, inference engines). Provide technical direction, design approaches, and articulate AI delivery best practices. Oversee multiple cross-functional teams to ensure adherence to AI architectural standards and promote pattern reuse.
• Architecture & Solution Design – Define enterprise AI platform architecture and lead technical evaluation of vendors with clear build vs. buy recommendations. Contribute to the design and rollout of a unified AI/GenAI application platform, enabling reuse and scalability across business solutions. Collaborate with Enterprise Architecture team to balance architectural recommendations with delivery strategy. Review and approve solution designs for alignment with enterprise guidelines, performance SLAs, and quality benchmark.
• Strategic Collaboration & Project Leadership – Engage with various IT teams (Business Relationship Management, Project Management, Architecture, Quality Management) during PMLC and SDLC phases. Lead estimation sessions, recommend AI delivery approaches, and ensure alignment with business objectives and technical constraints. Guide implementation of GenAI-driven personalization and recommendation features in customer-facing channels. Communicate technical strategy, delivery progress, and risks to executive leadership.
• Reliability, Safety & Compliance – Ensure production GenAI agents meet defined standards for response accuracy, safe handling of sensitive data, and compliance with regulatory requirements. Implement governance, guardrails, and compliance controls for production AI agents. Establish and maintain AI development frameworks, design patterns, and governance protocols. Ensure compliance with enterprise standards, ethics guidelines, and regulatory requirements.
• Technical Guidance & Mentorship – Provide AI application and design guidance to technical staff through oversight of complex business requirements analysis. Guide solution design for AI models, data processes, interfaces, controls, and infrastructure within recommended time frames, architecture standards, and budget constraints. Mentor junior and mid-level AI engineers. Support process enhancements and improvements across delivery teams.
• Innovation & Strategic Planning – Evaluate AI/ML industry trends and emerging technologies; recommend innovative approaches that balance business value with enterprise standards. Drive innovation through evaluation of emerging AI solutions, strategic resource allocation, and thought leadership. Lead proof-of-concept initiatives and technology adoption strategies. Lead knowledge sharing and best practice dissemination across the organization.

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