
AI & Automation Engineer
Solenis
Posted 13 Nov 2026, 16:30 IST
This job at a glance
- Who can apply
- Freshers and up to 2 years · Bachelor's degree
- Must know
- TroubleshootingOperationsBusiness analysisStakeholder management
- Nice to have
- REST APIsMachine learningLLMsPython
- Work
- On-site in Hyderabad
- Pay
- Not stated by the employer.
- Skill demand
- Stakeholder management25%Troubleshooting18%Operations9%Business analysis4%of 99 similar fresher jobs posted in India this week
- Listed
- 13 Nov 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
The AI & Automation Engineer will be a hands-on member of the AI Centre of Excellence (AI CoE), supporting the design, development, and deployment of AI, intelligent automation, and digital solutions across GBS. Working closely with the AI Intelligent Automation Architect, the role will help convert business use cases into prototypes, POCs, and scalable solutions using AI/ML, Generative AI, automation, APIs, cloud, and Low-Code/No-Code technologies. This role is suited to a fresh engineering graduate with strong programming fundamentals, curiosity about AI and automation, and a willingness to work across emerging technologies and business problems.
Reporting to: AI Intelligent Automation Architect
Location: Hyderabad, India
Key Responsibilities
AI Automation Development
- Build prototypes and POCs using AI/ML, Generative AI, APIs, Python, and cloud technologies.
- Develop AI-enabled automation and workflow solutions under the guidance of the Architect.
- Integrate AI capabilities with enterprise applications, data sources, and automation platforms.
Use-Case Development
- Support the identification and assessment of AI and automation opportunities with business teams.
- Translate identified use cases into technical prototypes and MVPs.
- Experiment with emerging AI technologies and assess their potential for GBS use cases.
Intelligent Automation
- Support development of RPA, workflow, and Low-Code/No-Code solutions.
- Explore opportunities to combine AI with RPA and workflow automation.
- Help modernize and improve existing automation solutions using Python, AI, and cloud technologies.
Engineering Solution Delivery
- Develop, test, document, and deploy solutions following CoE engineering and security standards.
- Work with the Architect and delivery teams on integrations, APIs, testing, deployment, and production support.
- Troubleshoot issues and continuously improve solution performance and reliability.
AI CoE Support
- Contribute to reusable AI/automation components, frameworks, documentation, and solution assets.
- Support AI experiments, demonstrations, and internal knowledge-sharing initiatives.
- Stay current with developments in GenAI, LLMs, AI agents, cloud AI, and intelligent automation.
Scope of Role
- Primary Scope: All GBS functions, including Finance, HRSS, IT, Supply Chain, Commercial, Pricing, FPA, and other shared service areas as applicable.
- Capabilities: AI / GenAI, automation, RPA, process mining, Celonis, low-code / no-code, SaaS enablement, analytics, process improvement.
- Geography: Hyderabad anchor location with scalable playbooks and operating model for all GBS sites.
- Stakeholders: GBS leadership, functional leaders, Group AI, IT, enterprise architecture, transformation teams, platform owners, and business process owners.
Requirements & Tech Stack
- Python and/or another programming language
- AI/ML and Generative AI concepts
- LLM APIs, prompt engineering or AI agents
- APIs, databases, cloud computing
- Software development fundamentals
- AWS / Azure / Google Cloud (preferred)
- LLM APIs and Generative AI (preferred)
- AI agents / agentic workflows (preferred)
- Machine Learning and data analytics (preferred)
- Python-based AI application development (preferred)
- RPA / workflow automation (preferred)
- Low-Code/No-Code platforms (preferred)
- REST APIs and enterprise integrations (preferred)
- Git and software development practices (preferred)
Qualifications
- Bachelors degree in Computer Science, Information Technology, Engineering, or related discipline.
- Strong programming fundamentals.
- Basic understanding of AI/ML and Generative AI concepts.
- Exposure to LLM APIs, prompt engineering or AI agents through academic or personal projects.
- Understanding of APIs, databases, cloud computing and software development fundamentals.
- Good analytical and problem-solving skills.
- Ability to learn new technologies quickly and work in a fast-paced environment.
- Good communication and collaboration skills.