GenAI Solution Architect

Role: GenAI Solution Architect
Location: Bengaluru or Hyderabad (either location ok) About the Employer Our client is a performance-driven global organization transforming how leading US banks maximize profitability through AI Through proprietary solutions, they have helped major financial institutions recover hundreds of millions in annual pre-tax income by eliminating decision-rule inefficiencies, uncovering risk blind spots, and optimizing financial operations, Role Overview You will lead and collaborate with a cross-functional team of AI/ML developers, data scientists, data analysts, and software engineers to design, deploy, and maintain robust generative AI and ML pipelines The focus will be on architecting enterprise-grade AI systems for the financial services industry, enabling innovation in areas such as digital banking, risk management, fraud detection, customer engagement, and operational efficiency Your work will ensure solutions are scalable, reliable, secure, and impactful for our clients, Key Responsibilities Generative AI Development Design and develop end-to-end generative AI solutions using LLMs (large language models), NLP, and related AI/ML technologies, Evaluate and select appropriate frameworks (OpenAI, Azure OpenAI, Hugging Face, LangChain, etc) for financial services use cases, System Architecture & Engineering Architect scalable, secure AI systems that integrate seamlessly with enterprise products and client services, Write high-quality, production-ready code in Python and other relevant frameworks, Build robust APIs and microservices to serve ML models to internal and external users, Model Development & Optimization Design and train ML models (classical ML, deep learning) using structured and unstructured financial datasets, Optimize model performance for latency, memory, and throughput to ensure scalability and cost efficiency, Monitor and manage models in production, implementing continuous learning, versioning, and rollback strategies, Leadership & Collaboration Lead, mentor, and manage AI/ML developers and cross-functional technical teams, Collaborate with product managers, engineers, and domain experts to translate financial services challenges into AI/ML solutions, Own project delivery from design to deployment, ensuring strong documentation and communication, Innovation & Research Stay up-to-date with emerging trends in generative AI, ML, and MLOps ecosystems, Explore and implement agentic AI concepts such as tool use, autonomous decision-making, and orchestration of multi-step workflows, Required Skills & Experience Proficiency in Python and modern software development practices (Git, CI/CD, Agile), Hands-on experience with ML frameworks: TensorFlow, PyTorch, and Scikit-learn, Strong knowledge of statistical learning, ML fundamentals, and model optimization, Experience with MLOps tools (e-g, MLflow, Airflow), Skilled in cloud platforms (AWS, GCP, Azure) with a focus on performance, scalability, and cost optimization, Understanding of hardware acceleration (GPU, TPU) and model optimization techniques, Proven experience in deploying ML/GenAI solutions in production environments for enterprise or financial services use cases, Excellent communication, leadership, and stakeholder management skills, Nice-to-Have Experience designing AI solutions for banking, payments, insurance, or capital markets, Knowledge of financial regulations, compliance, and security standards in AI/ML systems, Expertise in low-latency, high-throughput AI model deployment (REST, gRPC, streaming), Contributions to open-source AI frameworks or financial technology tools,