Senior AI Architect

Senior AI Architect

Location:

Hartford CT

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.

• 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.

• 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.