Infosys

Security Engineer

• - Lead SAP Security and GRC assessment, design, and implementation projects for clients across industries.
• - Conduct client workshops and requirements gathering sessions to understand business and security needs.
• - Design and configure SAP security roles, authorizations, and GRC Access Control components (Access Risk Analysis, Emergency Access Management, Access Request Management).
• - Develop and enforce Segregation of Duties (SoD) policies to mitigate risks and ensure compliance.
• - Deliver SAP Security and GRC gap analysis, risk assessments, and remediation plans.
• - Support clients during audits by preparing documentation, reports, and facilitating access reviews.
• - Provide strategic advice on SAP security best practices, compliance frameworks (SOX, GDPR, HIPAA, etc.), and process improvements.
• - Collaborate with cross-functional teams including Basis, functional consultants, and IT auditors to implement secure SAP landscapes.
• - Conduct end-user training sessions and knowledge transfer workshops.
• - Stay abreast of SAP security trends, new releases, and regulatory changes to provide proactive consulting.

SAP Security/GRC Consultant

Supply Chain

• You would lead Supply Chain Planning workstreams in client-focused and dynamic international projects, with strong autonomy and guidance
• Act as functional and solution expert to proactively advise customers and deliver outstanding results in your areas of expertise
• Planning, conception, and implementation of complex SCM (Supply Chain Management) transformation projects over the entire project life cycle
• Contribute to business development, from the request for information to the proposal submission and presentation
• Participate actively to the development of the practice, including service offerings development support, training, and knowledge management

Supply Chain Planning – IBP, Kinaxis

Data Engineer

• **About your role**
• The ideal candidate will have extensive experience in designing and implementing data architectures, with a strong understanding of database management, data modelling, and data governance. This role requires a strategic thinker with strong analytical and problem-solving skills and the ability to work collaboratively with clients and cross-functional teams.

Data Architect

AI Engineer

• Design and implement AI agents using LangChain, CrewAI, or AutoGen for enterprise-grade use cases.
• Develop modular code for task decomposition, memory handling, and tool integration with APIs.
• Collaborate with AI strategists and architects on project design and MVP delivery.
• Conduct testing and fine-tuning of agent behavior using LLM APIs and embeddings.
• Participate in internal code reviews, documentation, and reusable framework building.
• Support pre-sales demos and client innovation sessions with hands-on prototypes.

GenAI Engineer

• Design, develop, and deploy autonomous AI agent ecosystems using frameworks such as LangChain, AutoGen, CrewAI, and Semantic Kernel.
• Architect LLM-powered workflows involving multi-agent collaboration, decision logic, memory management, and external tool integration.
• Collaborate with consulting teams to align AI agent solutions with business goals and industry use cases across sectors (FSI, Retail, Manufacturing, etc.).
• Participate in RFI/RFP responses, creating high-impact solution overviews, architectural diagrams, and effort/cost estimations.
• Work closely with AI Strategists, Engagement Managers, and Domain SMEs to define solution blueprints, MVP scopes, and transformation roadmaps.
• Engage in client workshops, demos, and innovation showcases to articulate the potential of Agentic AI and its enterprise applications.
• Contribute to the development of reusable agent templates, accelerators, and reference architectures within Infosys’ AI frameworks.
• Stay current with GenAI advancements, toolchains, and research (LLMs, embeddings, vector DBs, agent planning/reasoning).
• Provide technical mentorship and hands-on support to junior consultants, helping shape internal capability development.
• Collaborate with cross-functional teams on AI governance, responsible AI practices, and integration into enterprise environments.

AI Architect

Data Scientist

• Interns will be assigned a full-time mentor
• Embedded in team projects
• Gain insights, skills, and practical knowledge
• Delve into real-world projects, collaborating with data engineers and scientists
• Assist in collecting, cleaning, and analyzing data sets
• Develop and implement machine learning models under guidance

Data Science, Machine Learning Intern

Full-stack Engineer

• Interns will be assigned a full-time mentor
• Embedded in team projects where possible
• Delve into real-world projects
• Gain invaluable insights, skills, and practical knowledge