Senior Consultant AI Architect ( Onsite )

• Translate senior stakeholders' and architects' visions into AI/ML strategies and implementation roadmaps aligned with strategic objectives.
  
• Collaborate with enterprise, application, data, and DevOps architects, as well as data scientists, MLOps/GenAI engineers, and business teams, to pilot use cases and refine architectural designs.
  
• Select the right technologies—whether open-source or commercial—ensuring compatibility with deployment models and existing tools.
  
• Drive the successful delivery and continuous improvement of AI-powered applications using agile methodologies.
  
• Partner with security and risk teams to anticipate and address risks, ensuring ethical AI practices and compliance with regulations.
  
• Assist project teams with technical reviews and approvals, ensuring AI solutions meet privacy, security, and regulatory standards.
  
• Build strong client relationships, contribute to proposals, and support project success.
  
• Lead diverse teams in an inclusive culture where everyone’s contributions are valued.
  
• Mentor junior team members through on-the-job training and structured development programs.
  

Requirements

• Bachelor’s degree in Computer Engineering or a related field (or equivalent).
  
• 7+ years of experience in data science, analytics, and architecture-related disciplines.
  
• Strong foundation in data science concepts and AI/ML architecture.
  
• Proven experience implementing cloud-based AI/ML workloads using platforms such as Google PaLM, Vertex AI, Azure OpenAI Services, AzureML, AWS Bedrock, Sagemaker, Dataiku, Databricks, Snowflake (SnowPark, Cortex), and DataRobot.
  
• Expertise in architecting scalable, high-performing, and cost-optimized AI/ML solutions leveraging serverless technologies, containerized/Kubernetes deployments, and GPU compute infrastructure.
  
• Hands-on experience deploying and hosting large foundational models, including generative AI techniques.
  
• Proficiency in LLM architecture (e.g., Transformer, GANs, VAEs), fine-tuning, retrieval-augmented generation (RAG), context embedding, vector databases, and semantic search tools.
  
• Strong programming skills in Python, with experience using deep learning frameworks like PyTorch, TensorFlow, and LangChain.
  
• Knowledge of MLOps practices to deliver robust AI/ML model life-cycles, including training, testing, monitoring, and continuous improvement.
  
• Experience developing and integrating APIs for serving ML models.
  
• Ability to design end-to-end AI/ML solutions integrated with enterprise systems.
  
• Experience working in an architecture function and presenting designs to stakeholders, including Technical Design Authorities or Architecture Boards.
  
• Strong stakeholder management and team collaboration skills, with the ability to lead multidisciplinary teams.
  
• Ability to guide and coach teams, facilitate technical programs, and manage expectations effectively.
  
• Exceptional communication skills, enabling clear and productive collaboration with cross-functional teams.
  
• Experience supporting go-to-market activities, such as responding to RFI/RFPs and creating high-quality proposal materials.
  
• Advanced degrees in Computer Science, Data Science, or related fields.
  
• Professional certifications in AI/ML technologies and cloud platforms.
  
• Distinctive thinking, deep expertise, and collaborative working.
  

Benefits