Consultant - AI Engineer Data Analytics - Business Consulting
Consultant - AI Engineer Data Analytics - Business Consulting
Posted 11 days ago
SENIORITY
Lead
About the role
- LLM solutions: Design, build and scale AI products using Claude, OpenAI and similar models.
- Agentic workflows: Create multi-step agents using LangChain, Google ADK and related frameworks
- Retrieval & knowledge: Develop RAG, semantic search, knowledge graphs and graph-based retrieval
- Focused AI: Apply specific prompt engineering approaches to create relevant responsesAI engineering: Build data pipelines, API integrations, microservices and Python AI/ML solutions.
- AI Provenance: Design & build eval methods to ensure integrity of outcomes
- Client and Stakeholder Engagement:
- Build and maintain strong relationships with clients, understanding their needs and providing tailored IT solutions.
- Present project updates, findings, and recommendations to client executives and stakeholders in a clear and concise manner.
- Act as a person running the project activities, work with stakeholders through IT transformation processes.
- Team Collaboration and Development:
- Collaborate with project teams, ensuring clear communication, effective collaboration, and timely delivery of milestones.
- Mentor junior team members, fostering a culture of continuous learning and professional growth.
- Strong problem-solving skills and the ability to work independently.
- Good program/project management skills, including interviewing clients, process mapping, project planning, and stakeholder communication.
- Good presentation skills and experience supporting successful project proposals.
- This job description may not cover or contain a comprehensive listing of all activities, duties and responsibilities that are required of the employee.
- Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:
- Medical/Dental/Vision/Life Insurance
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
