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