Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Data Science
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
Lead Data Scientist – Innovation Lab (Agentic AI ) Drive cutting-edge research and development in autonomous AI agents, Agentic AI, and GenAI systems to power next-gen airline solutions. 2. Key Responsibilities Design, develop, and deploy autonomous AI agents using Agentic AI frameworks. Build and optimize multi-agent collaboration protocols (MCP, A2A) for scalable decision-making systems. Fine-tune large language models (LLMs) for domain-specific airline use cases. Architect and implement GenAI solutions for operational and customer-facing applications. Conduct experiments and benchmarking for model performance and reliability. Collaborate with engineering teams to integrate AI models into cloud-native environments (Azure/GCP). Publish findings, contribute to patents, and represent the lab in external forums and conferences. 3. Required Skills / Must-Have Technical Skills: Python, PyTorch/TensorFlow, LangChain, FastAPI, Azure ML or Vertex AI, Docker/Kubernetes. AI/ML Expertise: Autonomous agents, Agentic AI, LLM fine-tuning, GenAI pipelines. Protocols: MCP (Multi-agent Collaboration Protocol), A2A (Agent-to-Agent Communication). Cloud Platforms: Azure or GCP (hands-on experience). Experience: 6-10 years in applied AI/ML, preferably in innovation or R&D settings. 4. Nice-to-Have / Preferred Skills Experience with airline industry datasets or operational systems. Familiarity with Reinforcement Learning (RL) and multi-agent systems. Knowledge of MLOps practices and CI/CD for ML workflows. Contributions to open-source AI projects or publications in top-tier conferences. 5. Education & Qualifications Primary: Master s or PhD in Computer Science, AI/ML, Data Science, or related field. Secondary: Bachelor s in Engineering or Mathematics with strong AI/ML experience. 6. Certifications/Licenses Preferred: Azure AI Engineer Associate, Google Cloud ML Engineer, TensorFlow Developer Certificate. 7. Skills Grouping & Synonyms AI/ML: Autonomous agents / Agentic AI / multi-agent systems / GenAI / LLM fine-tuning Cloud: Azure ML / GCP Vertex AI / cloud-native ML / MLOps Protocols: MCP / multi-agent collaboration / A2A / agent communication Development: Python / FastAPI / LangChain / PyTorch / TensorFlow 8. Location & Work Mode Gurgaon – Work from office
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
- Conduct code reviews and provide constructive feedback to peers to ensure code quality and best practices.


Additional Information:
- The candidate should have minimum 8-10 years of experience in Data Science.
- This position is based at our Gurugram office. Need to travel 5 days a week client office
- A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.