Overview
Lead AI Engineers and Data Scientists delivering GenAI, agentic AI, LLM-integrated applications, machine learning models, and retrieval-enabled products. Own technical direction, people leadership, delivery accountability, and product outcomes from discovery through production operation.
What you'll do
- Lead and mentor multidisciplinary AI Engineering and Data Science teams.
- Own end-to-end delivery of GenAI, agentic AI, and ML-enabled solutions.
- Guide architecture for LLM systems, RAG, agent orchestration, ML pipelines, APIs, and cloud services.
- Oversee machine learning model design, evaluation, and operationalization.
- Establish design reviews, code reviews, model reviews, testing, release readiness, and production support.
- Coordinate with product, platform, DevOps, security, architecture, and business stakeholders.
- Own hiring, onboarding, coaching, performance development, and team growth plans.
What you'll need
- 10+ years in software engineering, AI/ML engineering, data science, solution engineering, or technology delivery.
- 4–5+ years delivering or leading AI, ML, GenAI, or LLM-powered solutions.
- Experience leading multidisciplinary teams with technical and delivery accountability.
- Strong skills in Python, backend engineering, machine learning, APIs, microservices, distributed systems, and cloud-native delivery.
- Experience with LLM platforms, orchestration frameworks, RAG, embeddings, vector search, and grounding.
- Practical experience with MLOps, CI/CD, containerization, deployment automation, monitoring, and drift detection.
- Strong people leadership, communication, SDLC ownership, and architectural mentoring skills.
Nice to have
- Experience with multi-agent coordination, tool-enabled automation, AI observability, prompt safety, guardrails, and evaluation frameworks.
- Familiarity with Microsoft AI Foundry, Azure Machine Learning, PromptFlow, MLflow, or Databricks.
- Experience with forecasting, optimization, recommendation, anomaly detection, classification, NLP, or hybrid ML and GenAI solutions.
- Knowledge of enterprise integrations, responsible AI, governance, and compliance-aware delivery.
Details
- Location: Bangalore, Karnataka, India.
- Work mode: Hybrid.
Read the full description and apply on the company’s own careers page.
