Senior Solution Architect – GEN AI

Office in Hyderabad, Bangalore, Pune, Gurgaon, Chennai, Coimbatore

Solution Architecture

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