Senior AI Architect

Location : [US Hartford]

Experience Level : Senior / Leadership Role

Role Overview

We are seeking a Senior AI Architect to lead the design, development, and governance of cutting-edge AI solutions. This role requires both hands-on technical expertise and strategic leadership-driving innovation while ensuring compliance, security, and scalability across our AI ecosystem.

Key Responsibilities

AI Leadership & Strategy :

Lead our end-to-end AI development-balancing hands-on model design and implementation with guiding and mentoring the broader AI engineering and research teams.

Architecture, Design, and Deployment :

Design, build, and deploy production-grade machine learning models-including LLMs-on the Google Cloud Platform (Vertex AI) using Python and related frameworks.

Collaboration & Ecosystem Management :

Partner closely with internal AI teams, Google , and other technology vendors to sustain momentum, drive innovation, and align with evolving best practices.

Governance, Security, and AIRB Compliance :

Own and execute AI governance processes, including AI Risk Board (AIRB) reviews, data security, compliance, and ethical AI considerations across all AI initiatives.

Model Development & Evaluation :

Design and implement models for Conversational AI , leveraging Google CCAI / CES components. Lead model evaluation using robust Eval frameworks and metrics to ensure reliability, accuracy, and fairness.

Advanced Architectures :

Apply agentic architectures and Retrieval Augmented Generation (RAG) to build intelligent, context-aware AI systems. Experience with Parameter Efficient Fine-Tuning (PEFT) is a plus.

Performance & Scalability :

Optimize and fine-tune models for performance, efficiency, scalability, and accuracy across production workloads.

Cross-Functional Collaboration :

Work with business stakeholders and engineering teams to translate complex business problems into scalable and efficient AI-driven solutions.

Continuous Innovation :

Stay ahead of emerging trends in AI / ML, LLMs, and MLOps to continuously enhance solution quality and team capability.

Customer & Partner Engagement :

Collaborate directly with customer technical experts and partners (e.g., Google) to design solutions that meet business goals and compliance requirements, demonstrating technical and business maturity.

Qualifications

Advanced hands-on experience in Machine Learning , LLMs , and MLOps .

Proven expertise in Google Vertex AI , Python , and Google CCAI / CES platforms.

Deep understanding of AI governance , AIRB , security , and responsible AI principles.

Experience in model evaluation frameworks , agentic architectures , and RAG pipelines.

Strong communication and collaboration skills for engaging with cross-functional teams, vendors, and stakeholders.

Demonstrated ability to balance innovation with operational rigor in production-grade AI environments.