AI/ML Consumer Architect

Role: AI/ML Architect Location: Pune OR Bangalore Position Overview We are seeking an experienced AI/ML Consumer Solutions Architect with 7 - 10 years of experience, specializing in consumer, CPG, and retail domains. The ideal candidate will possess the technical depth to design and implement cutting-edge AI/ML solutions, particularly leveraging large language models (LLMs) and agentic workflows, while translating business requirements into actionable technical architectures. This role is based in Pune or Bangalore and requires a hands-on professional who thrives in a dynamic environment, delivering impactful AI/ML strategies and solutions. Required Skills & Experience

• Minimum of 7+ years of experience in AI/ML solution design and deployment, with a focus on consumer/CPG/retail industries.
• Strong experience in Python or Java and backend development and product engineering
• Proficiency with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Prior experience in technical presales and building proposal
• Hands-on experience with LLM frameworks like LangChain, LlamaIndex, or similar tools.
• Strong knowledge of atleast one hyperscaler (preferably GCP or Azure)
• Experience designing and implementing agentic workflows and modular AI solutions.
• Understanding of data pipelines, ETL frameworks, and big data technologies (e.g., Spark, Snowflake, Hadoop).

• Expertise in creating AI/ML solution blueprints and technical diagrams.
• Familiarity with MLOps practices, microservices architecture, containerization (Docker, Kubernetes), and CI/CD pipelines.

• In-depth knowledge of business use cases in consumer/CPG/retail, such as demand forecasting, customer segmentation, dynamic pricing, and supply chain optimization.

• Strong communication skills with the ability to present technical solutions to business leaders.

• Prior experience with e-commerce platforms or retail analytics projects.

• Lead AI discussions with prospects presenting Calsoft’s capabilities and experience and discussing client need
• Understand client need and design technical solution, high-level work plans, and estimates required for an AI related sales proposal

• Work with business teams to identify requirements and design AI/ML solutions that address key challenges in the consumer/CPG/retail sectors.
• Develop comprehensive architecture diagrams and technology stacks tailored to business needs.
• Incorporate LLM frameworks (e.g., LangChain, LlamaIndex) into solution designs to deliver advanced language-based functionalities.

• Design and implement agentic workflows using LLMs to automate decision-making and complex processes.
• Build modular, scalable solutions that integrate with existing enterprise systems and tools.
• Ensure solutions are aligned with MLOps practices for robust deployment and monitoring.

• Rapidly develop proof-of-concept (POC) models and prototypes, showcasing the feasibility and value of AI/ML solutions.
• Test and refine LLM-driven workflows and agent-based models to meet business objectives.