Sopra Steria: Generative AI Specialist — Bengaluru, Karnataka, India

About Sopra Steria

Sopra Steria provides technology consulting, digital services and software solutions. Its employer description focuses on helping organisations change their operations through technology, combining business-sector knowledge with digital delivery. The business offers end-to-end support rather than describing its work as software coding alone. Its services connect an organisation's requirements with the technology and processes used to meet them, with an emphasis on practical, sustained improvements in how client organisations operate.

The position and its setting

Sopra Steria lists Generative AI Specialist in Bengaluru, Karnataka, India, under reference BEN0003273. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Engineering, Development, Applications
• Employment type: Full-time
• Employer listing date: 3 June 2026
• Brands: Sopra Steria

Responsibilities and work described

• We are seeking a highly skilled and experienced Generative AI Specialist to join our team
• The ideal candidate will have a background in working with various large language models (LLMs) such as ChatGPT, LLaMA, and Bedrock, and possess in-depth knowledge of Microsoft Copilot
• Should be able to implement the solution considering customer environment/constraints and technically lead the team
• Additionally, the candidate should be proficient in various automation tools to streamline and enhance our AI-driven processes
• Development: & Implement AI Models:
• Design, develop, and deploy Generative AI models (e.g., GPT, DALL·E, Stable Diffusion)
• Fine-tune pre-trained models to address specific use cases and industry challenges
• Drive Innovation:
• Leadership: the research and implementation of advanced Generative AI technologies
• Identify and explore new applications for AI across domains, ensuring business impact
• Collaboration: & Deliver:
• Partner with product, engineering, and data teams to align AI capabilities with organizational goals
• Delivery: end-to-end solutions, including APIs and microservices for production-grade applications
• Optimize AI Solutions:
• Quality / delivery: scalability, performance, and reliability of deployed models
• Address bottlenecks in training and inference workflows

Essential requirements and candidate background

• Expertise in training and deploying Generative AI models like DALL·E, Stable Diffusion, or similar
• Proficiency: Python and cloud platforms (AWS, Azure, or GCP) for AI development
• Work in a fast-paced and environment
• Knowledge: natural language processing (NLP) techniques and tools
• Good understanding of PLM solutions
• Experience working for Aerospace customers
• Knowledge: Microsoft Copilot and its applications
• Experience: reinforcement learning, multi-modal AI systems, or unsupervised learning
• Familiarity: MLOps workflows, including CI/CD pipelines for machine learning
• Knowledge: ethical AI practices and bias mitigation techniques
• Expertise in tools for data annotation, model evaluation, and A/B testing
• Experience: building AI solutions for personalization, content generation, or automation
• Education
• UG: B
• Tech/B.E. in Any Specialization
• PG: M
• Tech in Any Specialization, MS/M
• Sc(Science) in Any Specialization
• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• Total of 7+ years of hands-on experience on AI with good exposure on generative AI and LLMs such as ChatGPT, LLaMA, and Bedrock

Location, schedule and contract conditions

• Work arrangement: On-site
• Advertised location: Bengaluru, Karnataka, India

Benefits mentioned by the employer

• A and collaborative work environment with opportunities to work on cutting-edge technologies
• Competitive compensation package and benefits
• Professional growth opportunities, including exposure to advanced AI research and industry use cases
• Total Experience Expected: 06-08 years

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Generative AI Specialist vacancy is not an offer for reference BEN0003273; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Sopra Steria

Applications follow the official employer page linked below.

Open the official Sopra Steria posting below and match the title and reference BEN0003273.

Compare your qualifications and experience with the essential conditions for the Bengaluru, Karnataka, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• Java
• CI/CD
• AWS
• GCP
• Azure
• APIs
• AI/ML
• LLMs
• Google Cloud
• machine learning
• AI
• training
• communication