About the Role:

We are looking for a visionary AI/ML Lead to own our end-to-end artificial intelligence strategy and execution. This role will bridge cutting-edge research and real-world product impact by leading cross-functional teams of engineers, data scientists, and product stakeholders to build AI systems that are intelligent, reliable, scalable, and responsible.

Key Responsibilities

- Define and drive the AI roadmap across generative AI, agentic workflows, multimodal systems, and LLM-powered enterprise products.

- Lead, mentor, and grow a high-performing team of AI/ML engineers, prompt engineers, and applied scientists.

- Design and oversee the full AI lifecycle including problem framing, data strategy, feature engineering, model development, evaluation, deployment, and production monitoring.

- Architect multi-agent systems and AI pipelines using frameworks such as LangGraph, AutoGen, CrewAI, or equivalent orchestration tools.

- Collaborate with product, engineering, and business teams to embed AI capabilities into core user workflows, internal platforms, and client-facing solutions.

- Champion responsible AI by defining governance frameworks, evaluation standards, model guardrails, bias mitigation practices, and secure deployment standards.

- Drive adoption of MLOps and LLMOps practices including CI/CD, observability, model evaluation, prompt version control, and continuous improvement.

- Stay ahead of advancements in foundation models, applied AI frameworks, and enterprise AI architecture, converting innovation into practical business offerings.





- Partner with leadership teams and clients to identify high-value AI opportunities and translate them into scalable solutions and delivery roadmaps.

Required Skills and Experience

- 9+ years of experience in Data Science, Machine Learning, AI Engineering, or advanced analytics roles.

- Robust proficiency in Python for machine learning, model development, data engineering, and AI application development.

- Proven hands-on experience in ML model development, evaluation, deployment, and production support.

- Strong experience with Apache Kafka and streaming data processing.

- Deep understanding of feature engineering, model evaluation, experimentation, and production ML workflows.

- Strong working knowledge of SQL and large-scale data processing environments.

- Experience with AWS services and cloud-native ML tooling, including deployment and monitoring patterns.

- Hands-on experience with Snowflake and Snowpark for scalable enterprise data workflows.

- Experience building CI/CD pipelines and deployment automation for AI/ML systems.

- Hands-on experience with Terraform and infrastructure-as-code practices for cloud infrastructure management.

Preferred Qualifications

- Experience with Generative AI, LLM applications, RAG architectures, agentic AI systems, and prompt engineering.

- Exposure to multimodal AI solutions, conversational AI, and enterprise workflow automation.

- Experience in consulting-led delivery environments and working with global enterprise clients.

- Strong people leadership, stakeholder management, and solution consulting skills.

📌 Lead AI/ML Engineer (Bengaluru)
🏢 Navikenz
📍 Bengaluru