AI/ML Architect

Job Title: AI/ML Architect

Work Location: Hartford, CT

Duration: Longterm

Job Description

We are seeking a highly experienced Solution Architect to lead the design and implementation of patient solution systems within a pharmaceutical or life sciences environment. The ideal candidate will have a strong background in Salesforce Marketing Cloud, .NET, TIBCO, API integrations, and Adobe Experience Manager (AEM).

Key Responsibilities:

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.