1 day ago
Gurgaon, IndiaStaff+
Responsibilities
- Design, develop, and deploy enterprise AI, machine learning, and generative AI solutions.
- Build AI copilots, intelligent assistants, autonomous agents, and workflow automation solutions.
- Architect and implement RAG solutions using embeddings, vector databases, semantic search, and knowledge repositories.
- Develop scalable AI services, APIs, and cloud-native applications using Python.
- Operationalize machine learning models and advanced analytics solutions in production.
- Drive prompt engineering, model evaluation, fine-tuning, and optimization of LLM applications.
- Define AI architecture, integration patterns, scalability, security, and deployment strategies.
- Implement MLOps and LLMOps practices including lifecycle management, monitoring, observability, governance, and Responsible AI.
- Lead technical discussions, architecture reviews, code reviews, mentoring, and engineering standards.
- Partner with clients and stakeholders to define requirements, AI roadmaps, solution strategies, estimates, and technical proposals.
- Build reusable AI frameworks, accelerators, and reference architectures.
Requirements
- 6–10 years of experience in AI/ML, data science, or enterprise software development.
- Strong programming expertise in Python, SQL, and API development.
- Hands-on experience with machine learning, deep learning, NLP, statistical modeling, and predictive analytics.
- Experience designing and deploying production-grade generative AI and LLM-powered applications.
- Understanding of prompt engineering, RAG, embeddings, vector databases, semantic search, and AI evaluation.
- Experience with agentic AI frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, or AutoGen.
- Experience integrating foundation models such as OpenAI, Azure OpenAI, Gemini, Claude, or AWS Bedrock.
- Hands-on experience with AWS, Azure, or GCP, as well as Docker and Kubernetes.
- Understanding of MLOps, LLMOps, Responsible AI, AI governance, and model monitoring.
- Strong analytical, communication, stakeholder management, and mentoring skills.
- A bachelor's or master's degree in computer science, artificial intelligence, data science, engineering, mathematics, statistics, or a related field is preferred.
- Experience with MCP, GraphRAG, knowledge graphs, multimodal AI, Databricks, Snowflake, Spark/PySpark, enterprise data platforms, observability, evaluation frameworks, or guardrails is preferred.
- AI/ML or cloud certifications from Microsoft, AWS, Google Cloud, or Databricks are advantageous.
- English proficiency is required.
Benefits
- Hybrid work arrangement in India with any work shift.
- Regular full-time employment.
- Hands-on experience, mentorship, and learning opportunities.
- Opportunity to lead AI-powered transformation and work on enterprise business challenges.
- Values-driven culture emphasizing integrity, inclusion, innovation, and collaboration.
Tech Stack
Categories
About Genpact
Genpact is a global professional services and technology firm that runs and transforms mission-critical operations for large enterprises through consulting, managed services, and AI- and analytics-driven platforms. It serves industries such as banking, insurance, healthcare, and manufacturing/supply chain, modernizing finance, risk, customer service, and back-office processes. Headquartered in New York and listed on the NYSE (G), Genpact originated within GE before becoming an independent public company.