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Senior Solution Architect – GEN AI

Office in Hyderabad, Bangalore, Pune, Gurgaon, Chennai, Coimbatore
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We are seeking a highly skilled and passionate Senior Solution Architect – Generative AI to join our team and lead the design and implementation of cutting-edge AI solutions. This role is ideal for a seasoned professional with extensive experience in AI/ML development and architecture, a deep understanding of generative AI technologies, and a strategic mindset to align innovations with business requirements.

Responsibilities
  • Develop and oversee architectural designs for generative AI models, frameworks, and solutions tailored to business needs
  • Design scalable pipelines for integrating and deploying generative AI solutions in alignment with enterprise architecture
  • Perform in-depth research to stay current on advancements in generative AI, including GPT, DALL-E, and Stable Diffusion to evaluate their applicability
  • Collaborate with stakeholders to assess business requirements and translate them into concrete AI strategies and actionable implementation plans
  • Lead the end-to-end development, testing, and deployment of generative AI systems, acting as a technical guide for teams
  • Advocate for the adoption of best practices, tools, and frameworks to enhance enterprise AI capabilities
  • Create APIs and services to integrate generative AI tools within business workflows or customer-facing platforms
  • Work closely with data engineers and scientists to ensure high-quality data preprocessing for AI model training
  • Implement responsible AI protocols to address governance, ethical usage, and regulatory compliance
  • Identify and mitigate data biases, ensuring data privacy and security concerns are addressed
  • Act as a mentor for junior AI developers and other cross-functional team members in understanding generative AI technologies
  • Facilitate cross-disciplinary collaboration with data scientists, engineers, product managers, and business stakeholders to drive project success
  • Benchmark emerging generative AI tools like OpenAI models, Hugging Face, and custom-built frameworks for potential integration and improvements
  • Conduct periodic evaluations of deployed AI systems, recommending adjustments and enhancements for improved operational efficiency
Requirements
  • 15-23 years of overall IT experience with at least 5+ years of proven experience in AI/ML development or architecture roles
  • Background in designing and implementing generative AI solutions, including areas like NLP, computer vision, or code generation
  • Familiarity with foundational models such as GPT, BERT, and their customization for enterprise use cases
  • Knowledge of AI/ML frameworks/tools such as TensorFlow, PyTorch, or Hugging Face models
  • Skills in cloud platforms (AWS, Azure, Google Cloud) and container platforms like Docker or Kubernetes
  • Proficiency in Python, R, or similar programming languages for building generative AI solutions
  • Understanding of MLOps principles, pipeline orchestration tools (Kubeflow, Airflow), and CI/CD practices
  • Expertise in responsible AI governance, ethical frameworks, and compliance with data privacy regulations
  • Capability to collaborate with multidisciplinary teams to align AI strategies with organizational goals