GEN AI | Bengalore | SAP | DSA SAP Accounts

Talworx Solutions; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Talworx Solutions in Bengaluru seeks an experienced GenAI professional to lead AI-driven transformation initiatives. You will drive discovery sessions, capture requirements, and design scalable AI solutions. Expect to work with LangChain, LlamaIndex, and various vector databases while deploying models on cloud platforms.

The role emphasizes AI governance, model monitoring, and responsible AI practices within an Agile/Scrum framework. Strong Python and ML framework skills are essential.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, or related field.
• Certifications in AI/ML, Cloud, or Generative AI are preferred.
• 6-9 years of experience in AI/GenAI, preferably in enterprise settings.

Responsibilities

• Lead discovery sessions and stakeholder discussions for AI-driven transformation.
• Translate requirements into functional/technical specs for AI solutions.
• Design, develop, and deploy Generative AI apps using LLMs and related frameworks.
• Build and optimize RAG solutions with vector databases.
• Develop AI/ML models using Python and ML frameworks.
• Implement prompt engineering to improve model accuracy and outcomes.
• Collaborate on scalable AI solutions, APIs, and microservices.
• Deploy and manage AI solutions on AWS/Azure/Google Cloud.
• Establish MLOps practices with MLflow, Kubeflow, Databricks, Docker, Kubernetes.
• Support UAT and govern model monitoring, security, and responsible AI.

Skills

Python programming

ML frameworks

Generative AI

LLM frameworks

RAG architectures

NLP

REST APIs

Cloud platforms

MLOps tools

Git & CI/CD

Education

Bachelor's or Master's in CS/AI/Data Science/Engineering

Tools

LangChain

LlamaIndex

Semantic Kernel

Pinecone

Chroma

FAISS

Weaviate

TensorFlow

PyTorch

Scikit-learn

MLflow

Kubeflow

Databricks

Docker

Kubernetes

Job description

GEN AI | Bengaluru | SAP | DSA SAP Accounts

Location: Bengaluru
Exp. :- 6- 9 yrs

The team

Enterprise technology must do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth. Learn more about ET&P

Your work profile

• Lead business discovery sessions, workshops, and stakeholder discussions to gather requirements and identify opportunities for AI-driven transformation.
• Translate business requirements into detailed functional and technical specifications, ensuring alignment with business goals.
• Analyze existing processes and recommend innovative solutions using Generative AI, Machine Learning, and Automation technologies.
• Design, develop, and deploy Generative AI applications leveraging Large Language Models (LLMs) and frameworks such as LangChain, LlamaIndex, and Semantic Kernel.
• Build and optimize Retrieval-Augmented Generation (RAG) solutions using vector databases such as Pinecone, Chroma, FAISS, and Weaviate.
• Develop AI/ML models using Python and frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Implement prompt engineering techniques to improve model accuracy, efficiency, and business outcomes.
• Collaborate with architects, developers, and integration teams to design scalable AI solutions, APIs, and microservices.
• Deploy and manage AI solutions on cloud platforms such as AWS, Azure, or Google Cloud.
• Establish and maintain MLOps practices using tools such as MLflow, Kubeflow, Databricks, Docker, and Kubernetes.
• Support User Acceptance Testing (UAT), validate business requirements, and ensure successful implementation of AI solutions.
• Drive AI governance, model monitoring, security, compliance, and responsible AI practices.
• Work with Agile/Scrum teams to deliver high-quality AI and data-driven solutions.
• Mentor junior team members, provide technical guidance, and contribute to capability building within the organization.
• Stay updated with emerging trends in Generative AI, Agentic AI, multimodal AI, and advanced machine learning technologies.

Key skills required

• Strong proficiency in Python programming.
• Experience with Machine Learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Hands-on experience with Generative AI and LLM frameworks including LangChain, LlamaIndex, Semantic Kernel, or similar.
• Experience with RAG architectures, prompt engineering, and vector databases (Pinecone, Chroma, FAISS, Weaviate, etc.).
• Knowledge of NLP, deep learning, and transformer architectures.
• Experience with REST APIs, microservices, and software engineering best practices.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of MLOps tools such as MLflow, Kubeflow, Databricks, Docker, and Kubernetes.
• Experience with Git, CI/CD pipelines, and DevOps practices.

Preferred Skills

• Experience with AI Agents and Agentic AI frameworks.
• Knowledge of multimodal AI solutions (text, image, audio, and video).
• Exposure to AI governance, model monitoring, and responsible AI practices.
• Experience working in Agile/Scrum environments.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• Relevant certifications in AI/ML, Cloud, or Generative AI are preferred.